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Biosensors, Volume 12, Issue 5 (May 2022) – 102 articles

Cover Story (view full-size image): Our research incorporates the DNA–gold affinity interaction into an electrochemical nucleic-acid-based direct adsorption platform for the voltammetric detection of HOTAIR long noncoding RNA. Our platform utilizes highly specific and sensitive nanomaterials coupled with screen-printed gold electrodes. The assay features three main steps: (i) magnetic bead capture of HOTAIR targets, (ii) magnetic purification and isolation of targets, and (iii) direct adsorption and detection via interfacial affinity interaction. We demonstrate detection as low as 1 pM for samples containing designated proportions of synthetic HOTAIR spiked in buffer as well as healthy plasma samples. Our method shows huge potential in diagnostics due to its disposable, simple, inexpensive, easy-to-store, and portable design. View this paper
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15 pages, 4932 KiB  
Article
Analysis of Mn2+ and Zn2+ Ions in Macroalgae with Heteroelement-Doped Carbon-Based Fluorescent Probe
by Hui Xu, Xin You, Yue Lu, Peng Liang, Zhihui Luo, Yiwei Wang, Shaoxiao Zeng and Hongliang Zeng
Biosensors 2022, 12(5), 359; https://doi.org/10.3390/bios12050359 - 22 May 2022
Cited by 3 | Viewed by 2709
Abstract
Kelp and laver are large economic macroalgae in China, which are rich in nutrients, especially Mn and Zn. Excessive intake of Mn and Zn can be harmful to the human body. Therefore, it is necessary to develop a convenient and efficient method to [...] Read more.
Kelp and laver are large economic macroalgae in China, which are rich in nutrients, especially Mn and Zn. Excessive intake of Mn and Zn can be harmful to the human body. Therefore, it is necessary to develop a convenient and efficient method to detect the contents of Mn and Zn in macroalgae. In this experiment, red carbon dots (R-CDs) doped with N and S elements were prepared by the thermal solvent method. The obtained R-CDs displayed excitation wavelength-independent fluorescent emission in the red spectral region. The R-CDs were used to construct a fluorescent probe for specific recognition of Mn2+ and Zn2+, achieving high-sensitivity detection of Mn2+ and Zn2+. The detection results showed a good linear relationship between fluorescence intensity and Mn2+ concentration, and the calculated detection limit was 0.23 nmol/L. For the detection of Zn2+, the detection limit was estimated as 19.1 nmol/L. At the same time, the content distribution of Mn and Zn elements in macroalgae produced in Fujian was investigated by the constructed fluorescence probe. It was found that kelp, laver, and their products are rich in Mn and Zn elements, and the content of Mn and Zn elements in laver is higher than that in kelp, which can be used as the optimal food supplement for Mn and Zn elements. Full article
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<p>UV–visible absorption spectrum (blue), excitation spectrum (red), and emission spectrum (black) of R-CDs (<b>A</b>); fluorescence emission spectra of R-CDs (<b>B</b>).</p>
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<p>TEM (<b>A</b>) and HRTEM images (<b>B</b>) of R-CDs.</p>
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<p>XRD (<b>A</b>) and FT-IR spectra of R-CDs (<b>B</b>).</p>
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<p>Schematic illustration of the preparation of R-CDs and the application in the detection of Mn<sup>2+</sup> and Zn<sup>2+</sup> (<b>A</b>). Fluorescence spectra of R-CDs (black curve) and R-CDs+Mn<sup>2+</sup> (red curve) (<b>B</b>). Fluorescence spectra of R-CDs (black curve) and R-CDs+Zn<sup>2+</sup> (red curve) (<b>C</b>).</p>
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<p>Fluorescence responses of the R-CDs upon the addition of different concentrations of Mn<sup>2+</sup> (<b>A</b>) and the linear correlation of fluorescence intensity versus the concentrations of Mn<sup>2+</sup> in the range from 0 ng/mL to 100 ng/mL (<b>B</b>).</p>
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<p>Specificity of the fluorescence probe for Mn<sup>2+</sup> analysis.</p>
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<p>Fluorescence responses in the λ<sub>Em</sub> = 650 nm of the R-CDs upon the addition of different concentrations of Zn<sup>2+</sup> (<b>A</b>) and linear correlation of fluorescence intensity versus the concentrations of Zn<sup>2+</sup> in the range from 1 ng/mL to 50 ng/mL (<b>B</b>).</p>
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<p>Specificity of the fluorescence probe for sensing Zn<sup>2+</sup>.</p>
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11 pages, 2510 KiB  
Article
Energy-Efficient, On-Demand Activation of Biosensor Arrays for Long-Term Continuous Health Monitoring
by Jonathan Lundquist, Benjamin Horstmann, Dmitry Pestov, Umit Ozgur, Vitaliy Avrutin and Erdem Topsakal
Biosensors 2022, 12(5), 358; https://doi.org/10.3390/bios12050358 - 21 May 2022
Cited by 4 | Viewed by 2736
Abstract
Wearable biosensors for continuous health monitoring, particularly those used for glucose detection, have a limited operational lifetime due to biodegradation and fouling. As a result, patients must change sensors frequently, increasing cost and patient discomfort. Arrays of multiple sensors, where the individual devices [...] Read more.
Wearable biosensors for continuous health monitoring, particularly those used for glucose detection, have a limited operational lifetime due to biodegradation and fouling. As a result, patients must change sensors frequently, increasing cost and patient discomfort. Arrays of multiple sensors, where the individual devices can be activated on demand, increase overall operational longevity, thereby reducing cost and improving patient outcomes. This work demonstrates the feasibility of this approach via decomposition of combustible nitrocellulose membranes that protect the individual sensors from exposure to bioanalytes using a current pulse. Metal contacts, connected by graphene-loaded PEDOT:PSS polymer on the surface of the membrane, deliver the required energy to decompose the membrane. Nitrocellulose membranes with a thickness of less than 1 µm consistently transfer on to polydimethylsiloxane (PDMS) wells. An electrical energy as low as 68 mJ has been shown to suffice for membrane decomposition. Full article
(This article belongs to the Special Issue Device-on-Chip Application in Biomedical Engineering)
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<p>Nitrocellulose membrane and spin-coating data. (<b>a</b>) Nitrocellulose spin-coating curves for different solution weight/volume (<span class="html-italic">w</span>/<span class="html-italic">v</span>) ratios [<a href="#B36-biosensors-12-00358" class="html-bibr">36</a>]. (<b>b</b>) Nitrocellulose membrane thickness profile for Wafer 1 (6-inch wafer) and Wafer 2 (3-inch wafer).</p>
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<p>Graphene-loaded polymer filament structure.</p>
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<p>Pulse current circuit.</p>
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<p>Assembled sensor well, membrane, and filament.</p>
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<p>Well activation with simulated ISF (45× Optical Magnification): (<b>a</b>) Top of dry well prior to filling; (<b>b</b>) Well above membrane filled with water before activation; (<b>c</b>) Well immediately after activation; (<b>d</b>) Well thirty seconds post-activation; (<b>e</b>) Well two minutes post-activation; (<b>f</b>) Well with sensing strip removed.</p>
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<p>Explosive decomposition of well membrane (45× optical magnification) (<b>a</b>) before activation; (<b>b</b>) during activation; (<b>c</b>) after activation.</p>
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26 pages, 3580 KiB  
Review
Current Advancements and Future Road Map to Develop ASSURED Microfluidic Biosensors for Infectious and Non-Infectious Diseases
by Tanu Bhardwaj, Lakshmi Narashimhan Ramana and Tarun Kumar Sharma
Biosensors 2022, 12(5), 357; https://doi.org/10.3390/bios12050357 - 20 May 2022
Cited by 21 | Viewed by 4899
Abstract
Better diagnostics are always essential for the treatment and prevention of a disease. Existing technologies for detecting infectious and non-infectious diseases are mostly tedious, expensive, and do not meet the World Health Organization’s (WHO) ASSURED (affordable, sensitive, specific, user-friendly, rapid and robust, equipment-free, [...] Read more.
Better diagnostics are always essential for the treatment and prevention of a disease. Existing technologies for detecting infectious and non-infectious diseases are mostly tedious, expensive, and do not meet the World Health Organization’s (WHO) ASSURED (affordable, sensitive, specific, user-friendly, rapid and robust, equipment-free, and deliverable to end user) criteria. Hence, more accurate, sensitive, and faster diagnostic technologies that meet the ASSURED criteria are highly required for timely and evidenced-based treatment. Presently, the diagnostics industry is finding interest in microfluidics-based biosensors, as this integration comprises all qualities, such as reduction in the size of the equipment, rapid turnaround time, possibility of parallel multiple analysis or multiplexing, etc. Microfluidics deal with the manipulation/analysis of fluid within micrometer-sized channels. Biosensors comprise biomolecules immobilized on a physicochemical transducer for the detection of a specific analyte. In this review article, we provide an outline of the history of microfluidics, current practices in the selection of materials in microfluidics, and how and where microfluidics-based biosensors have been used for the diagnosis of infectious and non-infectious diseases. Our inclination in this review article is toward the employment of microfluidics-based biosensors for the improvement of already existing/traditional methods in order to reduce efforts without compromising the accuracy of the diagnostic test. This article also suggests the possible improvements required in microfluidic chip-based biosensors in order to meet the ASSURED criteria. Full article
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<p>A schematic diagram to demonstrate various restraints in diagnostic techniques. Created using <a href="http://BioRender.com" target="_blank">BioRender.com</a>.</p>
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<p>A schematic representation of the WHO’s ASSURED criteria for diagnostics.</p>
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<p>A roadmap highlighting the evolution of microfluidic technologies. Created using <a href="http://BioRender.com" target="_blank">BioRender.com</a>. Micro Total Analysis System is abbreviated as Micro TAS, HGP is Human Genome Project and Defence Advanced Projects Research Agency project is abbreviated as DARPA and poly(dimethylsiloxane) as PDMS.</p>
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<p>A schematic diagram showing the change in materials with time in microfluidics and their disadvantages/advantages.</p>
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<p>A schematic diagram showing the replacement of conventional techniques for the detection of infectious diseases with new microfluidic chips with advantages, such as portability, less sample requirement, cost-effectiveness, rapidity, small size (compact) and no requirement of a skilled operator. Created using <a href="http://BioRender.com" target="_blank">BioRender.com</a>.</p>
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<p>A schematic representation of two types of microfluidic chip biosensors for the detection of malaria disease. (<b>A</b>,<b>B</b>) are categorized as immunoassay-based microfluidic chip biosensors, while (<b>C</b>,<b>D</b>) are nucleic acid microfluidic chip biosensors. (<b>A</b>) Spiral microfluidic channel for immunoassay. Adapted from ref. [<a href="#B83-biosensors-12-00357" class="html-bibr">83</a>]. (<b>B</b>) Paper-based single-step magneto-immunoassay. Adapted from ref. [<a href="#B84-biosensors-12-00357" class="html-bibr">84</a>]. (<b>C</b>) PCR lab-on-chip with portable gel cycler. Adapted from ref. [<a href="#B8-biosensors-12-00357" class="html-bibr">8</a>]. (<b>D</b>) Three-dimensional micropad origami-folded device for nucleic acid-based assay. Adapted from ref. [<a href="#B85-biosensors-12-00357" class="html-bibr">85</a>]. The representation of the working principle in this figure explains the mechanism. The original research article representation of these chips may vary from the one shown in the figure. Created using <a href="http://BioRender.com" target="_blank">BioRender.com</a>.</p>
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<p>A schematic representation of two types of microfluidic chip biosensors for the detection of sepsis. (<b>A</b>–<b>D</b>) are categorized as immunoassay-based microfluidic chip biosensors, while (<b>E</b>) and (<b>F</b>) are nucleic-acid microfluidic chip biosensors. (<b>A</b>) <span class="html-italic">E.coli</span>-detecting ELISA-based microfluidic chip biosensor. Adapted from ref. [<a href="#B86-biosensors-12-00357" class="html-bibr">86</a>]. (<b>B</b>) Sepsis biomarkers detecting ELISA-based microfluidic chip biosensor. Adapted from ref. [<a href="#B87-biosensors-12-00357" class="html-bibr">87</a>]. (<b>C</b>) ELISA-based POC for sepsis biomarkers. Adapted from ref. [<a href="#B88-biosensors-12-00357" class="html-bibr">88</a>]. (<b>D</b>) Sliding strip 3D-micropad immunoassay-based microfluidic chip biosensor. Adapted from ref. [<a href="#B89-biosensors-12-00357" class="html-bibr">89</a>]. (<b>E</b>) LAMP and hybridization-based electrochemical microfluidic chip biosensor. Adapted from ref. [<a href="#B90-biosensors-12-00357" class="html-bibr">90</a>]. (<b>F</b>) Lab-on-chip for sepsis detection. Adapted from ref. [<a href="#B91-biosensors-12-00357" class="html-bibr">91</a>]. The representation of the working principle in this figure is to explain the mechanism. The original research article representation of these chips may vary from the one shown in the figure. Created using <a href="http://BioRender.com" target="_blank">BioRender.com</a>.</p>
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<p>A schematic representation of two types of microfluidic chip biosensors for the detection of AIDS. (<b>A</b>–<b>C</b>) are categorized as immunoassay-based microfluidic chip biosensors, while (<b>D</b>,<b>E</b>) are nucleic-acid microfluidic chip biosensors. (<b>A</b>) POCKET immunoassay. Adapted from ref. [<a href="#B92-biosensors-12-00357" class="html-bibr">92</a>]. (<b>B</b>) QD-based immunoassay. Adapted from ref. [<a href="#B93-biosensors-12-00357" class="html-bibr">93</a>]. (<b>C</b>) Paper-based ELISA. Adapted from ref. [<a href="#B94-biosensors-12-00357" class="html-bibr">94</a>]. (<b>D</b>) LAMP and LFIA-based sensing. Adapted from ref. [<a href="#B95-biosensors-12-00357" class="html-bibr">95</a>]. (<b>E</b>) Origami-based isothermal, enzymatic amplification of HIV DNA and LFIA sensing. Adapted from ref. [<a href="#B96-biosensors-12-00357" class="html-bibr">96</a>]. The representation of a working principle in this figure is to explain the mechanism. The original research article representation of these chips may vary from the one shown in the figure. Created using <a href="http://BioRender.com" target="_blank">BioRender.com</a>.</p>
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<p>A schematic representation of two types of microfluidic chip biosensors for the detection of cardiovascular diseases. (<b>A</b>–<b>E</b>) are categorized as immunoassay-based microfluidic chip biosensors, while (<b>F</b>) is a nucleic-acid microfluidic chip biosensor. (<b>A</b>) LFIA-mimicking silicon-based microfluidic chip biosensor. Adapted from ref. [<a href="#B97-biosensors-12-00357" class="html-bibr">97</a>]. (<b>B</b>) Miniaturized immunosensing microfluidic chip biosensor. Adapted from ref. [<a href="#B98-biosensors-12-00357" class="html-bibr">98</a>]. (<b>C</b>) Snail-shaped chemiluminescence based microfluidic chip biosensor. Adapted from ref. [<a href="#B99-biosensors-12-00357" class="html-bibr">99</a>]. (<b>D</b>) Sandwich immunoassay-based microfluidic chip biosensor. Adapted from ref. [<a href="#B100-biosensors-12-00357" class="html-bibr">100</a>]. (<b>E</b>) Fluorogenic immunodevice. Adapted from ref. [<a href="#B101-biosensors-12-00357" class="html-bibr">101</a>]. (<b>F</b>) Aptamer and FET-array-based microfluidic chip biosensor. Adapted from ref. [<a href="#B102-biosensors-12-00357" class="html-bibr">102</a>]. The representation of the working principle in this figure is to explain the mechanism. The original research article representation of these chips may vary from the one shown in the figure. Created using <a href="http://BioRender.com" target="_blank">BioRender.com</a>.</p>
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26 pages, 2323 KiB  
Review
Electronic Sensor Technologies in Monitoring Quality of Tea: A Review
by Seyed Mohammad Taghi Gharibzahedi, Francisco J. Barba, Jianjun Zhou, Min Wang and Zeynep Altintas
Biosensors 2022, 12(5), 356; https://doi.org/10.3390/bios12050356 - 20 May 2022
Cited by 32 | Viewed by 6392
Abstract
Tea, after water, is the most frequently consumed beverage in the world. The fermentation of tea leaves has a pivotal role in its quality and is usually monitored using the laboratory analytical instruments and olfactory perception of tea tasters. Developing electronic sensing platforms [...] Read more.
Tea, after water, is the most frequently consumed beverage in the world. The fermentation of tea leaves has a pivotal role in its quality and is usually monitored using the laboratory analytical instruments and olfactory perception of tea tasters. Developing electronic sensing platforms (ESPs), in terms of an electronic nose (e-nose), electronic tongue (e-tongue), and electronic eye (e-eye) equipped with progressive data processing algorithms, not only can accurately accelerate the consumer-based sensory quality assessment of tea, but also can define new standards for this bioactive product, to meet worldwide market demand. Using the complex data sets from electronic signals integrated with multivariate statistics can, thus, contribute to quality prediction and discrimination. The latest achievements and available solutions, to solve future problems and for easy and accurate real-time analysis of the sensory-chemical properties of tea and its products, are reviewed using bio-mimicking ESPs. These advanced sensing technologies, which measure the aroma, taste, and color profiles and input the data into mathematical classification algorithms, can discriminate different teas based on their price, geographical origins, harvest, fermentation, storage times, quality grades, and adulteration ratio. Although voltammetric and fluorescent sensor arrays are emerging for designing e-tongue systems, potentiometric electrodes are more often employed to monitor the taste profiles of tea. The use of a feature-level fusion strategy can significantly improve the efficiency and accuracy of prediction models, accompanied by the pattern recognition associations between the sensory properties and biochemical profiles of tea. Full article
(This article belongs to the Special Issue Biosensors in 2022)
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<p>Images of different tea types (<b>a</b>) and chemical structures of theaflavins (<b>b</b>) and thearubigins (<b>c</b>) present in black tea. EC: epicatechin, EGC: epigallocatechin, ECG: epicatechin gallate, EGCG: epigallocatechin gallate.</p>
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<p>(<b>a</b>) A lab-made e-nose with eight MOS gas sensors used in the production line of a tea factory, consisting of a computer with chemometric tools (A), the main part of e-nose device equipped to a sampling system having two electronic valves (three-way system) for the airflow control (B), and the sample chamber (C), and (<b>b</b>) a graphic diagram of the e-nose tool (DAQ is the data acquisition unit). Reprinted from Hidayat et al. [<a href="#B57-biosensors-12-00356" class="html-bibr">57</a>].</p>
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<p>A developed gas-sensing system for smell discrimination and fermentation monitoring in the on-line production of oolong tea. The image was retrieved from Tseng et al. [<a href="#B58-biosensors-12-00356" class="html-bibr">58</a>] with some modifications.</p>
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<p>Images of three common potentiometric e-tongue systems for measuring the taste attributes of tea: (<b>a</b>) SA-402B (Intelligent Sensor Technology Co., Ltd., Japan; reprinted from Liu et al. [<a href="#B107-biosensors-12-00356" class="html-bibr">107</a>]) (a, for measuring the aftertaste value; b and c, for cleaning the sample rapidly; d and e: for cleaning the positive and negative solution; f: for the positive and negative cleaning solution; g: for the sensor calibration; h: for sensor reset; i: for the liquor sample), (<b>b</b>) TS-5000Z (Insent Inc., Atsugi-Shi, Japan), and (<b>c</b>) ASTREE (Alpha MOS Inc., Toulouse, France).</p>
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<p>A diagram of a polyphenol evaluation model present in black, green, and yellow teas, based on feature fusion of an e-nose and hyperspectral imagery. FdF: frequency-domain feature, TdF: time-domain feature, Grid-SVR: grid support vector regression, RF: random forest, XGBoost: extreme gradient boosting. Retrieved from Yang et al. [<a href="#B77-biosensors-12-00356" class="html-bibr">77</a>].</p>
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16 pages, 2541 KiB  
Article
An Artifact-Resistant Feature SKNAER for Quantifying the Burst of Skin Sympathetic Nerve Activity Signal
by Yantao Xing, Yike Zhang, Zhijun Xiao, Chenxi Yang, Jiayi Li, Chang Cui, Jing Wang, Hongwu Chen, Jianqing Li and Chengyu Liu
Biosensors 2022, 12(5), 355; https://doi.org/10.3390/bios12050355 - 20 May 2022
Cited by 9 | Viewed by 2758
Abstract
Evaluation of sympathetic nerve activity (SNA) using skin sympathetic nerve activity (SKNA) signal has attracted interest in recent studies. However, signal noises may obstruct the accurate location for the burst of SKNA, leading to the quantification error of the signal. In this study, [...] Read more.
Evaluation of sympathetic nerve activity (SNA) using skin sympathetic nerve activity (SKNA) signal has attracted interest in recent studies. However, signal noises may obstruct the accurate location for the burst of SKNA, leading to the quantification error of the signal. In this study, we use the Teager–Kaiser energy (TKE) operator to preprocess the SKNA signal, and then candidates of burst areas were segmented by an envelope-based method. Since the burst of SKNA can also be discriminated by the high-frequency component in QRS complexes of electrocardiogram (ECG), a strategy was designed to reject their influence. Finally, a feature of the SKNA energy ratio (SKNAER) was proposed for quantifying the SKNA. The method was verified by both sympathetic nerve stimulation and hemodialysis experiments compared with traditional heart rate variability (HRV) and a recently developed integral skin sympathetic nerve activity (iSKNA) method. The results showed that SKNAER correlated well with HRV features (r = 0.60 with the standard deviation of NN intervals, 0.67 with low frequency/high frequency, 0.47 with very low frequency) and the average of iSKNA (r = 0.67). SKNAER improved the detection accuracy for the burst of SKNA, with 98.2% for detection rate and 91.9% for precision, inducing increases of 3.7% and 29.1% compared with iSKNA (detection rate: 94.5% (p < 0.01), precision: 62.8% (p < 0.001)). The results from the hemodialysis experiment showed that SKNAER had more significant differences than aSKNA in the long-term SNA evaluation (p < 0.001 vs. p = 0.07 in the fourth period, p < 0.01 vs. p = 0.11 in the sixth period). The newly developed feature may play an important role in continuously monitoring SNA and keeping potential for further clinical tests. Full article
(This article belongs to the Special Issue Intelligent Biosignal Processing in Wearable and Implantable Sensors)
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<p>(<b>a</b>) The chain of SKNA signal transmission and acquisition. (<b>b</b>) Representative examples of acquired signals: the above figure shows the raw signal and the following figure shows SKNA after filtering. (<b>c</b>) The step signal artifact. (<b>d</b>) The ECG artifact.</p>
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<p>The electrode placement position in the experiment. In Experiment 2, the signal is only collected from channel 1.</p>
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<p>Representative examples of signal preprocessing and segmentation processes using the QRS information complexes and a sensitive threshold. (<b>a</b>) The raw signal. (<b>b</b>) The filtered SKNA signal. (<b>c</b>) The preprocessed signal after TKE operator. (<b>d</b>) The segmented burst area based on envelope and integral signal. (<b>e</b>) The final segmented burst area. The burst was in the blue box, the baseline was in the yellow box, and the artifact was in the red box.</p>
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<p>(<b>a</b>–<b>d</b>) The correlation between SKNAER and HRV features of the ten patients before and after sympathetic activation in Experiment 1.</p>
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<p>(<b>a</b>–<b>e</b>) The statistical results of the features related to the sympathetic nervous activity before and after sympathetic activation in Experiment 1. * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>(<b>a</b>–<b>e</b>) The trend of the SKNA and HRV features in the twenty patients during four-hour hemodialysis. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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10 pages, 1440 KiB  
Article
Acetone Gas Sensor Based on SWCNT/Polypyrrole/Phenyllactic Acid Nanocomposite with High Sensitivity and Humidity Stability
by Jun-Ho Byeon, Ji-Sun Kim, Hyo-Kyung Kang, Sungmin Kang and Jin-Yeol Kim
Biosensors 2022, 12(5), 354; https://doi.org/10.3390/bios12050354 - 19 May 2022
Cited by 11 | Viewed by 2728
Abstract
We synthesized core-shell-shaped nanocomposites composed of a single-walled carbon nanotube (SWCNT) and heptadecafluorooctanesulfonic acid-doped polypyrrole (C8F-doped-PPy)/phenyllatic acid (PLA), i.e., C8F-doped-PPy/PLA@SWCNT, for detecting acetone gas with high sensitivity and humidity stability. The obtained nanocomposites have the structural features of a sensing material as a [...] Read more.
We synthesized core-shell-shaped nanocomposites composed of a single-walled carbon nanotube (SWCNT) and heptadecafluorooctanesulfonic acid-doped polypyrrole (C8F-doped-PPy)/phenyllatic acid (PLA), i.e., C8F-doped-PPy/PLA@SWCNT, for detecting acetone gas with high sensitivity and humidity stability. The obtained nanocomposites have the structural features of a sensing material as a C8F-doped-PPy layer surrounding a single-stranded SWCNT, and a PLA layer on the outer surface of the PPy as a specific sensing layer for acetone. PLA was chemically combined with the positively charged PPy backbone and provided the ability to reliably detect acetone gas at concentrations as low as 50 ppb even at 25 °C, which is required for medical diagnoses via human breath analysis. When C8F was contained in the pyrrole monomer in a ratio of 0.1 mol, it was able to stably detect an effective signal in a relative humidity (RH) of 0–80% range. Full article
(This article belongs to the Special Issue Application of Nanomaterials for Biosensors)
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Graphical abstract

Graphical abstract
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<p>Schematic of and the chemical structure of C8F-doped-PPy/PLA@SWCNT core-shell-shaped nanocomposites for C<sub>3</sub>H<sub>6</sub>O gas sensing.</p>
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<p>(<b>I</b>) The scanning electron microscopy (SEM) and (<b>II</b>) transmission core–shell-shaped nanorods (sample). (<b>III</b>) The surface plasmon absorption spectrum of the samples and (<b>IV</b>) the electrical resistance (Ω) of the sensor sample of the as-cast film formed as a function of the relative thickness (thickness converted concerning the light transmittance (%) at a 550 nm wavelength of the casting film).</p>
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<p>(<b>I</b>) The Fourier transform infrared (FT-IR) spectra of the C8F-doped-PPy/PLA@ SWCNT nanocomposite: (<b>a</b>) the C8F-doped-PPy/PLA@ SWCNT composite, (<b>b</b>) the C8F-doped PPy@SWCNT nanorods, and (<b>c</b>) the PLA. In the figure, the meaning of ‘*’ indicates the IR absorp-tion peak of PLA molecules. The presence or absence of PLA present in the surface layer of C8F-doped-PPy/PLA@ SWCNT nanocomposite is expressed. (<b>II</b>) The FT-Raman spectra of the C8F-doped-PPy/PLA@ SWCNT nanocomposite: (<b>a</b>) the C8F-doped-PPy/PLA@ SWCNT composite, (<b>b</b>) the C8F-doped-PPy nanorods, and (<b>c</b>) the SWCNT. (The dotted line indicates that the Raman intensity changed as the stretching mode of C8F-doped-PPy and the tangential mode of SWCNT overlapped).</p>
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<p>(<b>I</b>) The continuous dynamic response of the C8F-doped-PPy/PLA@SWCNT sensor to different concentrations of C<sub>3</sub>H<sub>6</sub>O (1–5 ppm) at 25 °C and in 0% RH (dry air). (<b>a</b>) The C8F-doped-PPy@ SWCNT (PLA-free). (<b>b</b>–<b>d</b>) The PLA groups were linked in a 0.1, 0.3, and 0.5 mol ratio to the positively charged PPy backbone on a C8F-doped-PPy/PLA@SWCNT nanocomposite, respectively. (<b>II</b>) The response characteristics of the C8F-doped-PPy/PLA<sub>0.5</sub>@SWCNT sensor with C<sub>3</sub>H<sub>6</sub>O in the 50–100 ppb concentration range at 25 °C and in 0% RH (dry air): (<b>a</b>) 100 ppb and (<b>b</b>) 50 ppb.</p>
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<p>The sensitivity of the (<b>a</b>) C8F-doped-PPy/PLA<sub>0.5</sub>@SWCNT sensor and (<b>b</b>) C8F-doped-PPy/PLA<sub>0.</sub><sub>0</sub>@SWCNT sensor observed by exposure to 50–5000 ppb of C<sub>3</sub>H<sub>6</sub>O gas.</p>
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<p>(<b>I</b>) The continuous dynamic response of the C8F<sub>0.1</sub>-doped-PPy/PLA<sub>0.5</sub>@SWCNT sensor to different humidity conditions with C<sub>3</sub>H<sub>6</sub>O gas at 5 ppm at 25 °C. (<b>II</b>) Sensitivity change with increasing humidity measured at each gas concentration: (<b>a</b>) 5 ppm, (<b>b</b>) 2.5 ppm, and (<b>c</b>) 1 ppm.</p>
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8 pages, 1314 KiB  
Article
Bioluminescent-Inhibition-Based Biosensor for Full-Profile Soil Contamination Assessment
by Elizaveta M. Kolosova, Oleg S. Sutormin, Aleksandr A. Shpedt, Ludmila V. Stepanova and Valentina A. Kratasyuk
Biosensors 2022, 12(5), 353; https://doi.org/10.3390/bios12050353 - 19 May 2022
Cited by 4 | Viewed by 2477
Abstract
A bioluminescent-enzyme-inhibition-based assay was applied to predict the potential toxicity of the full profile of the following soil samples: agricultural grassland, 10-year fallow land (treated with remediation processes for 10 years) and uncontaminated (virgin) land. This assay specifically detects the influence of aqueous [...] Read more.
A bioluminescent-enzyme-inhibition-based assay was applied to predict the potential toxicity of the full profile of the following soil samples: agricultural grassland, 10-year fallow land (treated with remediation processes for 10 years) and uncontaminated (virgin) land. This assay specifically detects the influence of aqueous soil extracts from soils on the activity of a coupled enzyme system of luminescent bacteria: NAD(P)H:FMN-oxidoreductase + luciferase (Red + Luc). It was shown that the inhibitory effect of the full-profile soil samples on the Red + Luc system decreased with depth for the 10-year fallow-land and virgin-land samples, which correlated with a decrease in the humic organic matter content in the soils. The inhibitory effect of the agricultural grassland on the Red + Luc enzyme system activity was more complex and involved the presence of the humic organic matter content, as well as the presence of pollutants in the whole-soil profile. However, if the interfering effect of humic organic substances on the Red + Luc system’s activity is taken into account during full-profile soil toxicity assessments, it might help to detect pollutant mobility and its leaching into the subsoil layer. Thus, this bioluminescent method, due to the technical simplicity, rapid response time and high sensitivity, has the potential to be developed as a biological part of the inhibition-based assay and/or biosensors for the preventive tracing of potential full-profile soil contamination. Full article
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<p>Variation in the residual light intensity of the Red + Luc enzyme system (<b>A</b>); humic (<b>B</b>) and labile humic substances (<b>C</b>) in the full profile of the agricultural-grassland samples.</p>
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<p>Variation in the residual light intensity of the Red + Luc enzyme system (<b>A</b>); humic (<b>B</b>) and labile humic substances (<b>C</b>) in the full-profile of the 10-year fallow-land samples.</p>
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<p>Variation in the residual light intensity of the Red + Luc enzyme system (<b>A</b>); humic (<b>B</b>) and labile humic substances (<b>C</b>) in the full-profile of the virgin-land samples.</p>
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16 pages, 6619 KiB  
Article
Fiber-Optic Distributed Sensing Network for Thermal Mapping of Gold Nanoparticles-Mediated Radiofrequency Ablation
by Akbota Sametova, Sabit Kurmashev, Zhannat Ashikbayeva, Aida Amantayeva, Wilfried Blanc, Timur Sh. Atabaev and Daniele Tosi
Biosensors 2022, 12(5), 352; https://doi.org/10.3390/bios12050352 - 18 May 2022
Cited by 7 | Viewed by 2628
Abstract
In this work, we report the design of an optical fiber distributed sensing network for the 2-dimensional (2D) in situ thermal mapping of advanced methods for radiofrequency thermal ablation. The sensing system is based on six high-scattering MgO-doped optical fibers, interleaved by a [...] Read more.
In this work, we report the design of an optical fiber distributed sensing network for the 2-dimensional (2D) in situ thermal mapping of advanced methods for radiofrequency thermal ablation. The sensing system is based on six high-scattering MgO-doped optical fibers, interleaved by a scattering-level spatial multiplexing approach that allows simultaneous detection of each fiber location, in a 40 × 20 mm grid (7.8 mm2 pixel size). Radiofrequency ablation (RFA) was performed on bovine phantom, using a pristine approach and methods mediated by agarose and gold nanoparticles in order to enhance the ablation properties. The 2D sensors allow the detection of spatiotemporal patterns, evaluating the heating properties and investigating the repeatability. We observe that agarose-based ablation yields the widest ablated area in the best-case scenario, while gold nanoparticles-mediated ablation provides the best trade-off between the ablated area (53.0–65.1 mm2, 61.5 mm2 mean value) and repeatability. Full article
(This article belongs to the Special Issue Photonics for Bioapplications: Sensors and Technology)
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<p>Schematic (<b>left</b>) and photographic view (<b>right</b>) of the radiofrequency ablation setup of the parenchymal tissue. The setup consists of: (a) OBR Luna 4600 with the computer used for data acquisition, (b) optical fibers, (c) bovine liver, (d) the RFA applicator, and (e) a hybrid RF/MWA generator used in RF mode.</p>
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<p>Photographic view of the MgO-doped fibers employed for temperature sensing. (<b>a</b>) Photos of the fibers displayed on a grid; (<b>b</b>) view of a single nanoparticle-doped optical fiber.</p>
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<p>Calibration of the temperature coefficient of the optical fibers used for sensing.</p>
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<p>Gold nanoparticle cooling process (<b>a</b>) and after centrifuge (<b>b</b>,<b>c</b>).</p>
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<p>TEM images of AuNPs in different zooms: 200 nm (<b>a</b>), 100 nm (<b>b</b>), 50 nm (<b>c</b>), and 20 nm (<b>d</b>). The shape and size of AuNPs equivalent to 15–20 nm spheres in different zooms.</p>
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<p>The scheme and photographic view fibers (a), bovine liver (b), negatively charged plate (c), and the applicator (d) in the vicinity.</p>
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<p>Backscattering trace, recording the Rayleigh backscattering intensity at every point along the fiber sensing network. The six regions with high intensity correspond to each nanoparticle-doped fiber span, while the low-intensity regions correspond to single-mode fibers used to distribute the signal to each sensing fiber.</p>
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<p>Thermal map recorded for an RFA experiment, using AuNP with a density of 4 mg/mL. The chart reports the data recorded on the xy plane (x = direction parallel to the RFA applicator and to the sensing fibers). The colorimetric map reported the isothermal curves, with 10 °C separation between each layer. Eight different maps are reported, during the heating phase (with times 25, 35, 40, 45, and 50 s from the RF generator power on), and during the cooling phase when the RF power is discontinued (55, 65, and 75 s elapsed time). The horizontal lines on each chart report the position of the six fibers.</p>
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<p>Thermal maps observed for different conditions, compared to the photograph of the ablated tissue. (<b>a</b>–<b>d</b>) Photographs of the tissue after RFA procedure; (<b>e</b>–<b>h</b>) thermal maps observed at the peak temperature condition. Experiments have been performed in pristine condition (<b>a</b>,<b>e</b>), with agarose gel inserted in the tissue (<b>b</b>,<b>f</b>), and with AuNP with densities of 1 mg/mL (<b>c</b>,<b>g</b>) and 4 mg/mL (<b>d</b>,<b>h</b>).</p>
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<p>Evaluation of all thermal maps for four experiments, under each condition: (<b>a</b>) pristine; (<b>b</b>) agarose; (<b>c</b>) AuNP, 1 mg/mL; (<b>d</b>) AuNP, 4 mg/mL. The chart reports isothermal curves, according to the color bar on the right. Horizontal axis: x direction (4 cm range); vertical axis: y direction (2 cm range).</p>
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<p>Peak temperature recorded during the RFA experiments under each condition; bars = average of four experiments; error bars = ±standard deviation.</p>
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<p>Temporal evolution of the maximum temperature over time, for each RFA ablation. The chart reports the results of four experiments, displaying the mean value (red curve) and the range containing ± one standard deviation (grey interval). RFA conditions: (<b>a</b>) agarose; (<b>b</b>) AuNP, 1 mg/mL; (<b>c</b>) AuNP, 4 mg/mL; (<b>d</b>) pristine.</p>
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<p>Quantification of the thermal damage region (temperature &gt;60 °C) for each experimental condition. (<b>a</b>) Evaluation of the surface exposed to temperature exceeding 60 °C at the maximum ablation temperature; bar charts show the maximum (dark), minimum (bright), and mean (intermediate) values of the areas, over four experiments for each RFA condition. (<b>b</b>) Percentual increase or decrease for the ablated surface, with respect to the reference condition (pristine RFA, mean surface).</p>
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<p>Quantification of the cytotoxic region (temperatures &gt;42 °C) for each experimental condition. (<b>a</b>) Evaluation of the surface exposed to temperatures exceeding 42 °C at the maximum ablation temperature; bar charts show the maximum (dark), minimum (bright), and mean (intermediate) values of the areas, over four experiments for each RFA condition. (<b>b</b>) Percentual increase or decrease for the cytotoxic surface, with respect to the reference condition (pristine RFA, mean surface).</p>
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12 pages, 1540 KiB  
Article
Investigation and Comparison of Specific Antibodies’ Affinity Interaction with SARS-CoV-2 Wild-Type, B.1.1.7, and B.1.351 Spike Protein by Total Internal Reflection Ellipsometry
by Ieva Plikusiene, Vincentas Maciulis, Silvija Juciute, Ruta Maciuleviciene, Saulius Balevicius, Arunas Ramanavicius and Almira Ramanaviciene
Biosensors 2022, 12(5), 351; https://doi.org/10.3390/bios12050351 - 18 May 2022
Cited by 15 | Viewed by 3390
Abstract
SARS-CoV-2 vaccines provide strong protection against COVID-19. However, the emergence of SARS-CoV-2 variants has raised concerns about the efficacy of vaccines. In this study, we investigated the interactions of specific polyclonal human antibodies (pAb-SCoV2-S) produced after vaccination with the Vaxzevria vaccine with the [...] Read more.
SARS-CoV-2 vaccines provide strong protection against COVID-19. However, the emergence of SARS-CoV-2 variants has raised concerns about the efficacy of vaccines. In this study, we investigated the interactions of specific polyclonal human antibodies (pAb-SCoV2-S) produced after vaccination with the Vaxzevria vaccine with the spike proteins of three SARS-CoV-2 variants of concern: wild-type, B.1.1.7, and B.1.351. Highly sensitive, label-free, and real-time monitoring of these interactions was accomplished using the total internal reflection ellipsometry method. Thermodynamic parameters such as association and dissociation rate constants, the stable immune complex formation rate constant (kr), the equilibrium association and dissociation (KD) constants and steric factors (Ps) were calculated using a two-step irreversible binding mathematical model. The results obtained show that the KD values for the specific antibody interactions with all three types of spike protein are in the same nanomolar range. The KD values for B.1.1.7 and B.1.351 suggest that the antibody produced after vaccination can successfully protect the population from the alpha (B.1.1.7) and beta (B.1.351) SARS-CoV-2 mutations. The steric factors (Ps) obtained for all three types of spike proteins showed a 100-fold lower requirement for the formation of an immune complex when compared with nucleocapsid protein. Full article
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<p>(<b>A</b>) Schematic representation of SARS-CoV-2 S protein (SCoV2-S, SCoV2-αS, or SCoV2-βS) covalent immobilization on the gold-coated SPR sensor disc pre-modified with 11-MUA SAM. (<b>B</b>) The principle scheme representing total internal reflection ellipsometry measurements. (<b>C</b>) Schematic representation of SCoV2-S, SCoV2-αS, and SCoV2-βS covalent immobilization and interaction with specific polyclonal antibodies (pAb-SCoV2-S).</p>
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<p>Time-resolved TIRE kinetics and ellipsometric parameters of SCoV2-S immobilization and interaction with specific polyclonal antibodies. (<b>A</b>) Kinetics of covalent SCoV2-S immobilization on 11-MUA SAM modified gold-coated SPR sensor disc; (<b>B</b>) kinetics of polyclonal antibody interaction with covalently immobilized ScoV2-S at different serum dilutions (1:4, 1:10, 1:20, 1:30, and 1:40); (<b>C</b>) <span class="html-italic">Δ</span> and (<b>D</b>) <span class="html-italic">Ψ</span> spectral shift after immune complex formation using the same dilutions of polyclonal antibodies.</p>
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<p>Time-resolved TIRE kinetics and ellipsometric parameters of SCoV2-αS immobilization and interaction with specific polyclonal antibodies. (<b>A</b>) Kinetics of covalent SCoV2α-S immobilization on 11-MUA SAM modified gold-coated SPR sensor disc; (<b>B</b>) kinetics of polyclonal antibody interaction with covalently immobilized SCoV2-αS at 1:40 dilution of serum; (<b>C</b>) <span class="html-italic">Δ</span> and (<b>D</b>) <span class="html-italic">Ψ</span> spectral shift after immune complex formation using the same dilutions of polyclonal antibodies.</p>
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<p>Time-resolved TIRE kinetics and ellipsometric parameters of SCoV2-βS immobilization and interaction with specific polyclonal antibodies. (<b>A</b>) Kinetics of covalent SCoV2β-S immobilization on 11-MUA SAM modified gold-coated SPR sensor disc; (<b>B</b>) kinetics of polyclonal antibody interaction with covalently immobilized SCoV2-βS at 1:40 dilution of serum; (<b>C</b>) <span class="html-italic">Δ</span> and (<b>D</b>) <span class="html-italic">Ψ</span> spectral shift after the formation of immune complexes using the same dilutions of polyclonal antibodies.</p>
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<p>Normalized pAb-SCoV2-S antibody surface concentration (<span class="html-italic">f</span>) evolution in time obtained using 1:40 diluted blood serum during the formation of the immune complex with (<b>A</b>) SCoV2-S, (<b>B</b>) SCoV2-αS, (<b>C</b>) SCoV2-βS. Points correspond to experimentally obtained results, while lines for fitting are derived by using two-step irreversible binding immune complex formation mathematical modeling.</p>
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10 pages, 2087 KiB  
Article
Easy-to-Operate Co-Flow Step Emulsification Device for High-Throughput Three-Dimensional Cell Culture
by Chunyang Wei, Chengzhuang Yu, Shanshan Li, Tiejun Li, Jiyu Meng and Junwei Li
Biosensors 2022, 12(5), 350; https://doi.org/10.3390/bios12050350 - 18 May 2022
Viewed by 2750
Abstract
Cell culture plays an essential role in tissue engineering and high-throughput drug screening. Compared with two-dimensional (2D) in vitro culture, three-dimensional (3D) in vitro culture can mimic cells in vivo more accurately, including complex cellular organizations, heterogeneity, and cell–extracellular matrix (ECM) interactions. This [...] Read more.
Cell culture plays an essential role in tissue engineering and high-throughput drug screening. Compared with two-dimensional (2D) in vitro culture, three-dimensional (3D) in vitro culture can mimic cells in vivo more accurately, including complex cellular organizations, heterogeneity, and cell–extracellular matrix (ECM) interactions. This article presents a droplet-based microfluidic chip that integrates cell distribution, 3D in vitro cell culture, and in situ cell monitoring in a single device. Using the microfluidic “co-flow step emulsification” approach, we have successfully prepared close-packed droplet arrays with an ultra-high-volume fraction (72%) which can prevent cells from adhering to the chip surface so as to achieve a 3D cell culture and make scalable and high-throughput cell culture possible. The proposed device could produce droplets from 55.29 ± 1.52 to 95.64 ± 3.35 μm, enabling the diverse encapsulation of cells of different sizes and quantities. Furthermore, the cost for each microfluidic CFSE chip is approximately USD 3, making it a low-cost approach for 3D cell culture. The proposed device is successfully applied in the 3D culture of saccharomyces cerevisiae cells with an occurrence rate for proliferation of 80.34 ± 3.77%. With low-cost, easy-to-operate, high-throughput, and miniaturization characteristics, the proposed device meets the requirements for 3D in vitro cell culture and is expected to be applied in biological fields such as drug toxicology and pharmacokinetics. Full article
(This article belongs to the Collection Microsystems for Cell Cultures)
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<p>Typical microfluidic 3D cell culture methods: (<b>a</b>,<b>b</b>) hanging drop; (<b>c</b>) T-junction; (<b>d</b>) flow-focusing; (<b>e</b>) coxial flow; (<b>f</b>) co-flow step emulsification (CFSE).</p>
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<p>Punching fabrication. (<b>a</b>) I: Schematic diagram of the punching operation (<b>b</b>) Three typical illustrations of the step microstructures. I: The cylindrical hole is below the central line of the straight microchannel. II: The cylindrical hole is right on the central line of the straight microchannel. III: The cylindrical hole is above the central line of the straight microchannel. (<b>c</b>) Microscopic images of the step boundaries, corresponding to the illustrations above. It is worth noting that the bio-puncher can smoothly cut the straight channels without edge-tearing or cracking.</p>
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<p>CFSE-based droplet generation. (<b>a</b>) Schematic of the 3D cell culture system. I: The system consists of a micropump, pressure controller, fluid tubes, CFSE chip, and inverted microscope; II: Schematic diagram of the “co-flow step emulsification”. (<b>b</b>) Optical photograph of the microfluidic CFSE device. I: Cell medium and oil were pumped into the microchannels; II: The cell medium broke into emulsion droplets. (<b>c</b>) Cell clusters in medium (I) and in droplets (II). (<b>d</b>) The resulting droplets bulk the cylindrical reservoir within several minutes with an ultra-high-volume fraction (φ = 72%, Q<sub>inner-phase</sub> = 1.28 μL/min, Q<sub>outer-phase</sub> = 0.49 μL/min, <span class="html-italic">Φ</span> = 80.38 ± 2.18 μm). I–VI shows the droplet perfusion process in the cylindrical storage reservoir in 30 seconds. (<b>e</b>) The close-packed droplet arrays arrange themselves in a hexagonal pattern. I–VI demonstrate the droplet arrays of six layers arranged from top to bottom. VII demonstrates the stacked status of the droplet arrays.</p>
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<p>Investigation of the CFSE-based 3D cell culture system. (<b>a</b>) Time-dependence of droplet numbers. (<b>b</b>) Plot of emulsion droplet diameter as a function of running time, to show the time-stability of the microfluidic CFSE device. The cell medium and oil flow rates were set at 1.28 μL/min and 0.49 μL/min. (<b>c</b>) Measured diameters of the droplets were plotted against the different cell medium flowrate conditions. The inset microscopic images show the droplets with diameters of 62.62 ± 1.95 μm and 91.09 ± 2.26 μm, respectively. (<b>d</b>) The relationship between cell number per droplet and cell density in the medium. (<b>e</b>) Illustration and microscopic images of the proliferation process of saccharomyces cerevisiae cell. I: A saccharomyces cerevisiae cell was encapsulated in a droplet; II: The saccharomyces cerevisiae cell began to bud and proliferate; III: The saccharomyces cerevisiae cell kept proliferating for 200 min. Scale bar: 30 μm.</p>
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8 pages, 1773 KiB  
Brief Report
How Paretic and Non-Paretic Ankle Muscles Contract during Walking in Stroke Survivors: New Insight Using Novel Wearable Ultrasound Imaging and Sensing Technology
by Pei-Zhao Lyu, Ringo Tang-Long Zhu, Yan To Ling, Li-Ke Wang, Yong-Ping Zheng and Christina Zong-Hao Ma
Biosensors 2022, 12(5), 349; https://doi.org/10.3390/bios12050349 - 18 May 2022
Cited by 10 | Viewed by 2973
Abstract
Abnormal muscle tone and muscle weakness are related to gait asymmetry in stroke survivors. However, the internal muscle morphological changes that occur during walking remain unclear. To address this issue, this study investigated the muscle activity of the tibialis anterior (TA) and medial [...] Read more.
Abnormal muscle tone and muscle weakness are related to gait asymmetry in stroke survivors. However, the internal muscle morphological changes that occur during walking remain unclear. To address this issue, this study investigated the muscle activity of the tibialis anterior (TA) and medial gastrocnemius (MG) of both the paretic and non-paretic sides during walking in nine stroke survivors, by simultaneously capturing electromyography (EMG), mechanomyography (MMG), and ultrasound images, and using a validated novel wearable ultrasound imaging and sensing system. Statistical analysis was performed to examine the test–retest reliability of the collected data, and both the main and interaction effects of each “side” (paretic vs. non-paretic) and “gait” factors, in stroke survivors. This study observed significantly good test–retest reliability in the collected data (0.794 ≤ ICC ≤ 0.985), and significant differences existed in both the side and gait factors of the average TA muscle thickness from ultrasound images, and in the gait factors of TA and MG muscle’s MMG and EMG signals (p < 0.05). The muscle morphological characteristics also appeared to be different between the paretic and non-paretic sides on ultrasound images. This study uncovered significantly different internal muscle contraction patterns between paretic and non-paretic sides during walking for TA (7.2% ± 1.6%) and MG (5.3% ± 4.9%) muscles in stroke survivors. Full article
(This article belongs to the Section Biosensors and Healthcare)
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<p>The wearable ultrasound imaging and sensing system.</p>
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<p>Changes in (<b>A</b>) average TA muscle thickness, (<b>B</b>) average MG muscle thickness, (<b>C</b>) mechanomyography (MMG) signal of TA muscle, (<b>D</b>) MMG signal of MG muscle, (<b>E</b>) electromyography (EMG) signal of TA muscle and (<b>F</b>) electromyography (EMG) signal of MG muscle of nine participants in a gait cycle (solid and dashed blue/orange lines indicate the mean and the standard deviation of nine participants, respectively; solid vertical gray lines indicate the typical gait events/phases of stroke survivors [<a href="#B11-biosensors-12-00349" class="html-bibr">11</a>]).</p>
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<p>Changes in paretic and non-paretic TA and MG muscle morphological characteristics in different gait events/phases during walking in one participant.</p>
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24 pages, 16174 KiB  
Review
AIE-Active Photosensitizers: Manipulation of Reactive Oxygen Species Generation and Applications in Photodynamic Therapy
by Hao Yu, Binjie Chen, Huiming Huang, Zhentao He, Jiangman Sun, Guan Wang, Xinggui Gu and Ben Zhong Tang
Biosensors 2022, 12(5), 348; https://doi.org/10.3390/bios12050348 - 18 May 2022
Cited by 37 | Viewed by 6279
Abstract
Photodynamic therapy (PDT) is a non-invasive approach for tumor elimination that is attracting more and more attention due to the advantages of minimal side effects and high precision. In typical PDT, reactive oxygen species (ROS) generated from photosensitizers play the pivotal role, determining [...] Read more.
Photodynamic therapy (PDT) is a non-invasive approach for tumor elimination that is attracting more and more attention due to the advantages of minimal side effects and high precision. In typical PDT, reactive oxygen species (ROS) generated from photosensitizers play the pivotal role, determining the efficiency of PDT. However, applications of traditional PDT were usually limited by the aggregation-caused quenching (ACQ) effect of the photosensitizers employed. Fortunately, photosensitizers with aggregation-induced emission (AIE-active photosensitizers) have been developed with biocompatibility, effective ROS generation, and superior absorption, bringing about great interest for applications in oncotherapy. In this review, we review the development of AIE-active photosensitizers and describe molecule and aggregation strategies for manipulating photosensitization. For the molecule strategy, we describe the approaches utilized for tuning ROS generation by attaching heavy atoms, constructing a donor-acceptor effect, introducing ionization, and modifying with activatable moieties. The aggregation strategy to boost ROS generation is reviewed for the first time, including consideration of the aggregation of photosensitizers, polymerization, and aggregation microenvironment manipulation. Moreover, based on AIE-active photosensitizers, the cutting-edge applications of PDT with NIR irradiated therapy, activatable therapy, hypoxic therapy, and synergistic treatment are also outlined. Full article
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<p>Examples of molecular structures of ACQ or AIE-active photosensitizers.</p>
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<p>Mechanism of ROS generation form photosensitizer illustrated by Jablonski diagram, and the processes for PDT-induced cell death (NR: nonradiative pathway). Modified with the permission from the authors of [<a href="#B3-biosensors-12-00348" class="html-bibr">3</a>]. Copyright 2020, the Author(s). Published by Elsevier.</p>
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<p>(<b>a</b>) Fluorescent photographs of the ACQ and AIE molecules as they aggregated in solution; (<b>b</b>) schematic illustration of the mechanisms of the ACQ and AIE phenomenon. Reprinted with the copyright from [<a href="#B24-biosensors-12-00348" class="html-bibr">24</a>]. Copyright 2014, Wiley-VCH GmbH.</p>
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<p>(<b>a</b>) Chemical structures, the electron distribution on the frontier orbitals, and the relied mechanism for PHE1-3 to produce type I ROS. Reprinted with the copyright from. [<a href="#B37-biosensors-12-00348" class="html-bibr">37</a>]. Copyright 2021, Elsevier. (<b>b</b>) Chemical structures and calculated energy diagram analysis of <span class="html-italic">α</span>-TPA-PIO and <span class="html-italic">β</span>-TPA-PIO with labels of SOC values. Reprinted with the copyright from [<a href="#B38-biosensors-12-00348" class="html-bibr">38</a>]. Copyright 2020 by the author(s). Published by the Royal Society of Chemistry.</p>
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<p>Donor-acceptor molecular engineering strategies to enhance ROS. (<b>a</b>) Molecular structure, calculated HOMO-LUMO distributions, and ROS generation of TPDC, TPPDC, and PPDC. Reprinted with the permission the authors of [<a href="#B41-biosensors-12-00348" class="html-bibr">41</a>]. Copyright 2015, by the author(s). Published by the Royal Society of Chemistry. (<b>b</b>) Molecular structure with extended π-spacer between donor and acceptor and calculated HOMO-LUMO distributions of the TPE-based photosensitizers. Reprinted with the permission of the authors of [<a href="#B42-biosensors-12-00348" class="html-bibr">42</a>]. Copyright 2017, Royal Society of Chemistry.</p>
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<p>Cationic molecular engineering strategy to enhance ROS. (<b>a</b>) Molecular structure and ROS generation of TPAN, TPAPy, TPANPF<sub>6</sub> and TPAPyPF<sub>6</sub> indicated by H2DCF-DA and ABDA. Reprinted with the permission of the authors of [<a href="#B43-biosensors-12-00348" class="html-bibr">43</a>]. Copyright 2019, American Chemical Society. (<b>b</b>) Molecular structure, ROS generation of DTPAPy, DTPAN, DTPAPyPF<sub>6</sub>, and DTPANPF<sub>6</sub> indicated by HPF or DHR123, and summary of different ROS generation of photosensitizers. Reprinted with the permission of the authors of [<a href="#B44-biosensors-12-00348" class="html-bibr">44</a>]. Copyright 2022, Elsevier.</p>
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<p>Anionization strategy to enhance ROS generation. (<b>a</b>) Molecular structure and ROS generation of TBZPy, MTBZPy, TNZPy, and MTNZPy indicated by ABDA and DHR123. Reprinted with the permission of the authors of [<a href="#B45-biosensors-12-00348" class="html-bibr">45</a>]. Copyright 2020, Wiley-VCH GmbH. (<b>b</b>) Molecular structure, ROS generation of TIdBO indicated by ABDA, HPF, and EPR spectra of the TIdBO. Reprinted with the permission of the authors of [<a href="#B46-biosensors-12-00348" class="html-bibr">46</a>]. Copyright 2021, American Chemical Society.</p>
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<p>Activatable photosensitizer strategy to manipulate ROS generation by GSH and H<sub>2</sub>O<sub>2</sub>. (<b>a</b>) Molecular structure of TPEPY-S-Fc and the proposed mechanism of GSH-activated PDT. Reprinted with the permission of the authors of [<a href="#B57-biosensors-12-00348" class="html-bibr">57</a>]. Copyright 2020, Royal Society of Chemistry. (<b>b</b>) Molecular structure of TPECNPB and the schematic illustration of H<sub>2</sub>O<sub>2</sub> activation of PDT. Reprinted with the permission of the authors of [<a href="#B61-biosensors-12-00348" class="html-bibr">61</a>]. Copyright 2020, Wiley-VCH GmbH.</p>
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<p>Activatable photosensitizer strategy to manipulate ROS by cathepsin B and pH. Structure of the functionalize TPE derivative TPECM and the bioprobe TPECM-2GFLGD3-cRGD, and the schematic illustration of probe activation by cathepsin B. Reprinted with the permission of the authors of [<a href="#B63-biosensors-12-00348" class="html-bibr">63</a>]. Copyright 2015, Wiley-VCH GmbH.</p>
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<p>Molecular structure and schematic illustration of the molecule of WP5, P5, and G, and the proposed mechanism of pH activation of PDT. Reprinted with the permission of the authors of [<a href="#B66-biosensors-12-00348" class="html-bibr">66</a>]. Copyright 2020, Wiley-VCH GmbH.</p>
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<p>Molecule aggregation strategy to enhance ROS. (<b>a</b>) Molecular structure of BDBF and schematic illustration of BDBF NRs and F127@BDBF NPs for image-guided PDT. Reprinted with the permission of the authors of [<a href="#B69-biosensors-12-00348" class="html-bibr">69</a>]. Copyright 2020, Springer Nature. (<b>b</b>) Molecular structure of DMA-AB-F and G and changes in ROS production with different degrees of aggregation. Reprinted with the permission of the authors of [<a href="#B70-biosensors-12-00348" class="html-bibr">70</a>]. Copyright 2020, Wiley-VCH GmbH.</p>
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<p>Polymerization strategy to enhance ROS generation. (<b>a</b>) Molecular structure of the model compounds, calculated energy levels, and possible ISC channels of different model compounds. Reprinted with the permission of the authors of [<a href="#B71-biosensors-12-00348" class="html-bibr">71</a>]. Copyright 2018, Elsevier. (<b>b</b>) Molecular structure, <sup>1</sup>O<sub>2</sub> quantum yield, and fluorescence quantum yield of TB, TBTB, P1, TBT, BTB, TBTBT, and BTBTB. Reprinted with the permission of the authors of [<a href="#B72-biosensors-12-00348" class="html-bibr">72</a>]. Copyright 2018, Wiley-VCH GmbH.</p>
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<p>Aggregation microenvironment strategies to promote ROS production. (<b>a</b>) Schematic illustration of the construction of the Cor-AIE dots and DSPE-AIE dots with the photosensitizer of TPP-TPA. ROS generation from the flexible (DSPE-AIR points) and rigid (core points) aggregation environment, and the mechanism illustration of ROS manipulation. Reprinted with the permission of the authors of [<a href="#B73-biosensors-12-00348" class="html-bibr">73</a>]. Copyright 2018, Wiley-VCH GmbH. (<b>b</b>) Molecular structure of BTPEAQ and schematic illustration of polymer and SiO<sub>2</sub>-shelled dots; degradation of ABDA by BTPEAQ along with increased irradiation time. Reprinted with the permission of the authors of [<a href="#B74-biosensors-12-00348" class="html-bibr">74</a>]. Copyright 2016, American Chemical Society.</p>
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<p>Multiphoton NIR absorption to enhance PDT theranostics. (<b>a</b>) Synthetic routes to DCMa, DCIs, DCFu, and DCPy and the in-vivo application of photosensitizers on the hepatic and nephric tissue of mice upon a 900 nm two-photon irradiation. Reprinted with the permission of the authors of [<a href="#B76-biosensors-12-00348" class="html-bibr">76</a>]. Copyright 2018, American Chemical Society. (<b>b</b>) Molecular structure of TPE-PTB NPs, and cell imaging and photostability of AIE nanoparticles in A375 cells under continuous two-photon laser irradiation. Reprinted with the permission of the authors of [<a href="#B77-biosensors-12-00348" class="html-bibr">77</a>]. Copyright 2020, American Chemical Society.</p>
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<p>Activatable photosensitizers to enhance theranostics. (<b>a</b>) Schemes of MIL-100 collapse, PS release, and Dox-PEG self-assembly of Dox-PEG-PS@MIL-100 nanoparticles to tune PDT in H<sub>2</sub>O<sub>2</sub>. Reprinted with the permission of the authors of [<a href="#B81-biosensors-12-00348" class="html-bibr">81</a>]. Copyright 2021, Wiley-VCH GmbH. (<b>b</b>) Scheme of the synthesis of TPATrzPy-3+ by two photochemically inert precursors under the catalysis of copper (I) ions generated from GSH-reduced-MOF-199. Reprinted with the permission of the authors of [<a href="#B82-biosensors-12-00348" class="html-bibr">82</a>]. Copyright 2021, Wiley-VCH GmbH. (<b>c</b>) Schematic illustration of the self-assembly of TPE-Py-FpYGpYGpY under the catalysis of ALP, which significantly activates fluorescence and ROS generation. Reprinted with the permission of the authors of [<a href="#B83-biosensors-12-00348" class="html-bibr">83</a>]. Copyright 2018, Royal Society of Chemistry.</p>
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<p>Type I ROS or self-oxygenated strategies to enhance theranostics. (<b>a</b>) Schematic illustration of producing type I ROS utilizing the electron transfer during the photoactivation process and theranostics effects of type I photosensitizers. Reprinted with the permission of the authors of [<a href="#B46-biosensors-12-00348" class="html-bibr">46</a>]. Copyright 2021, American Chemical Society. (<b>b</b>) Schematic illustration of the preparation of nanoparticles, cascade reactions induced by the nanozymes and oxygen production, ROS production, and therapeutic effect of the nanozymes. Reprinted with the permission of the authors of [<a href="#B86-biosensors-12-00348" class="html-bibr">86</a>]. Copyright 2020, Elsevier.</p>
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<p>Synergistic therapy combining PDT. Schematic illustration of the preparation processes of BP@PEG-TTPy nanosheets and PDT/PTT effects of nanosheets. Reprinted with the permission of authors of [<a href="#B88-biosensors-12-00348" class="html-bibr">88</a>]. Copyright 2020, Wiley-VCH GmbH.</p>
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<p>Synergistic therapy combining PDT. (<b>a</b>) Structure of the PEG-<span class="html-italic">b</span>-PMPMC-<span class="html-italic">g</span>-PTX (PMP) and TB@PMP (+), which was employed for combinational PDT/chemotherapy. Reprinted with the permission of the authors of [<a href="#B89-biosensors-12-00348" class="html-bibr">89</a>]. Copyright 2018, by the author(s). Published by Springer Nature. (<b>b</b>) Schematic illustration of TPE-DPA-TCyP as an effective ICD inducer for antitumor immunity. Reprinted with the permission of the authors of [<a href="#B94-biosensors-12-00348" class="html-bibr">94</a>]. Copyright 2019, Wiley-VCH GmbH.</p>
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13 pages, 2428 KiB  
Article
An Aptamer-Functionalised Schottky-Field Effect Transistor for the Detection of Proteins
by Thomas Farrow, Siriny Laumier, Ian Sandall and Harm van Zalinge
Biosensors 2022, 12(5), 347; https://doi.org/10.3390/bios12050347 - 18 May 2022
Cited by 10 | Viewed by 3180
Abstract
The outbreak of the coronavirus disease 2019 (COVID-19) in December 2019 has highlighted the need for a flexible sensing system that can quickly and accurately determine the presence of biomarkers associated with the disease. This sensing system also needs to be easily adaptable [...] Read more.
The outbreak of the coronavirus disease 2019 (COVID-19) in December 2019 has highlighted the need for a flexible sensing system that can quickly and accurately determine the presence of biomarkers associated with the disease. This sensing system also needs to be easily adaptable to incorporate both novel diseases as well as changes in the existing ones. Here we report the feasibility of using a simple, low-cost silicon field-effect transistor functionalised with aptamers and designed to attach to the spike protein of SARS-CoV2. It is shown that a linear response can be obtained in a concentration range of 100 fM to 10 pM. Furthermore, by using a larger range of source-drain potentials compared with other FET based sensors, it is possible to look at a wider range of device parameters to optimise the response. Full article
(This article belongs to the Special Issue Feature Issue of Biosensors and Bioelectronic Devices Section)
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<p>Schematic of the functionalisation process and subsequent detection of the spike protein. An aluminium contact is deposited on an intrinsic silicon sample. The device is functionalised with APTES, glutaraldehyde (GA), aptamer and glycine molecules in this order. The glycine is aimed at terminating any unbound aldehydes, which might create non-specific binding sites. In the final step, the process of detection is visualised inside the electrode gap. For clarity the aptamers and protein are only shown in the area between the electrodes; however, they are present everywhere on the silicon. At the bottom right is a photograph of the actual devices.</p>
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<p>The IV-characteristics of the bare silicon device between the source and drain contact. The inset shows the log-log plot of the positive bias potentials. The red dotted lines indicate the slope, which is 1, indicating Ohmic behaviour at low potential and 0.5 at higher voltage.</p>
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<p>A schematic representation of the experiment. (<b>a</b>) shows the band diagram at the interface between the SiO<sub>2</sub> and the Si; the formation of the channel due to the band-bending is indicated. In (<b>b</b>) the effect of the presence of the aptamers and protein is indicated. At the top, the general layout of the FET is shown. The steps below illustrate the major points in the experiment. The ‘empty’ circles represent equal amounts of electrons and holes, whereas an area with a pre-dominantly negative or positive charge is indicated with a minus or plus signs, respectively.</p>
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<p>IV-characteristics of a functionalised device with a spike protein concentration of 1 pM. The arrows and numbers indicate the direction of the voltage sweep. During the upsweep (1) a FET type characteristic is observed, and the return sweep (2) show hysteresis caused by slow moving ions.</p>
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<p>(<b>a</b>) IV-characteristics of a functionalised device with at varying spike protein concentrations (up sweep only). (<b>b</b>) The relative change of the current as a function of bias potential.</p>
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<p>(<b>a</b>) comparison between the current at +3 V (black) and the relative change (red). (<b>b</b>) comparison between the current (black) and the hysteresis (blue).</p>
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<p>The output resistance as a function of the spike protein concentration. The red line indicates the trend line. The inset shows the lambda parameter which is related to the channel shortening. The arrow at 100 fM indicates an omitted point at λ = 33.4 V<sup>−1</sup>.</p>
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<p>(<b>a</b>) comparison between the current at +3 V for BSA (black) and spike protein (red). (<b>b</b>) comparison between the current for spike protein in artificial saliva (black) and PBS (red).</p>
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18 pages, 5287 KiB  
Article
Kinetics of Isothermal Dumbbell Exponential Amplification: Effects of Mix Composition on LAMP and Its Derivatives
by Maud Savonnet, Mathilde Aubret, Patricia Laurent, Yoann Roupioz, Myriam Cubizolles and Arnaud Buhot
Biosensors 2022, 12(5), 346; https://doi.org/10.3390/bios12050346 - 18 May 2022
Cited by 8 | Viewed by 3453
Abstract
Loop-mediated isothermal amplification (LAMP) is an exponential amplification method of DNA strands that is more and more used for its high performances. Thanks to its high sensitivity and selectivity, LAMP found numerous applications from the detection of pathogens or viruses through their genome [...] Read more.
Loop-mediated isothermal amplification (LAMP) is an exponential amplification method of DNA strands that is more and more used for its high performances. Thanks to its high sensitivity and selectivity, LAMP found numerous applications from the detection of pathogens or viruses through their genome amplification to its incorporation as an amplification strategy in protein or miRNA biomarker quantification. The LAMP method is composed of two stages: the first one consists in the transformation of the DNA strands into dumbbell structures formed of two stems and loops thanks to four primers; then, in the second stage, only two primers are required to amplify the dumbbells exponentially in numerous hairpins of increasing lengths. In this paper, we propose a theoretical framework to analyze the kinetics of the second stage of LAMP, the isothermal dumbbell exponential amplification (IDEA) as function of the physico-chemical parameters of the amplification reaction. Dedicated experiments validate the models. We believe these results may help the optimization of LAMP performances by reducing the number of experiments necessary to find the best parameters. Full article
(This article belongs to the Special Issue Advances in Amplification Methods for Biosensors)
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<p>The primers (BIP and FIP) and the dumbbells (Short dumbbell SD, middle dumbbell MD and long dumbbell LD) are depicted with their name sequences and respective extensions. At the bottom, the formation of the hairpin Hp1b from SD is obtained from an enzymatic extension of the 3<math display="inline"><semantics> <msup> <mrow/> <mo>′</mo> </msup> </semantics></math> end.</p>
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<p>Duplication: Two hairpins Hp1f and Hp2f are created from the hairpin Hp1b with the use of a single BIP and enzymes.</p>
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<p>Normalized fluorescence <math display="inline"><semantics> <mrow> <mo>Δ</mo> <mi>F</mi> </mrow> </semantics></math> in logarithmic scale on the y-axis as function of scaled time <math display="inline"><semantics> <mrow> <msub> <mi>c</mi> <mi>P</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>−</mo> <msub> <mi>t</mi> <mn>0</mn> </msub> <mo>)</mo> </mrow> </mrow> </semantics></math> (in <math display="inline"><semantics> <mi mathvariant="sans-serif">μ</mi> </semantics></math>M.min) for three concentration of primers (<math display="inline"><semantics> <mrow> <msub> <mi>c</mi> <mi>P</mi> </msub> <mo>=</mo> <mn>3.2</mn> <mo>,</mo> <mn>4.8</mn> <mo>,</mo> <mn>7.2</mn> </mrow> </semantics></math><math display="inline"><semantics> <mi mathvariant="sans-serif">μ</mi> </semantics></math>M) and three MD dumbbell concentrations <math display="inline"><semantics> <mrow> <msub> <mi>c</mi> <mi>D</mi> </msub> <mo>=</mo> <mn>1000</mn> <mo>,</mo> <mn>100</mn> <mo>,</mo> <mn>10</mn> </mrow> </semantics></math> pM.</p>
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<p>Normalized fluorescence <math display="inline"><semantics> <mrow> <mo>Δ</mo> <mi>F</mi> </mrow> </semantics></math> in linear (<b>above</b>) and logarithmic (<b>below</b>) scales as function of time for various concentrations of the dumbbell MD from 1 nM to 1 fM. The black dashed line is the half-saturation threshold for the determination of <math display="inline"><semantics> <msub> <mi>t</mi> <mn>50</mn> </msub> </semantics></math>. The dark lines are the logistic fit of the experimental data.</p>
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<p>Dumbbell concentrations in logarithmic scale as function of time <math display="inline"><semantics> <msub> <mi>t</mi> <mn>50</mn> </msub> </semantics></math> for various concentrations of dumbbells from 1 nM to 1 fM and for the three different dumbbell lengths.</p>
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14 pages, 3547 KiB  
Article
Analyzing Human Periodontal Soft Tissue Inflammation and Drug Responses In Vitro Using Epithelium-Capillary Interface On-a-Chip
by Laidi Jin, Ni Kou, Fan An, Zehang Gao, Tian Tian, Jianan Hui, Chen Chen, Guowu Ma, Hongju Mao and Huiying Liu
Biosensors 2022, 12(5), 345; https://doi.org/10.3390/bios12050345 - 18 May 2022
Cited by 15 | Viewed by 3438
Abstract
The gingival epithelium–capillary interface is a unique feature of periodontal soft tissue, preserving periodontal tissue homeostasis and preventing microorganism and toxic substances from entering the subepithelial tissue. However, the function of the interface is disturbed in periodontitis, and mechanisms of the breakdown of [...] Read more.
The gingival epithelium–capillary interface is a unique feature of periodontal soft tissue, preserving periodontal tissue homeostasis and preventing microorganism and toxic substances from entering the subepithelial tissue. However, the function of the interface is disturbed in periodontitis, and mechanisms of the breakdown of the interface are incompletely understood. To address these limitations, we developed a microfluidic epithelium–capillary barrier with a thin culture membrane (10 μm) that closely mimics the in vivo gingival epithelial barrier with an immune micro-environment. To test the validity of the fabricated gingival epithelial barrier model, epithelium–capillary interface-on-a-chip was cultured with human gingival epithelial cells (HGECs) and human vascular endothelial cells (HUVEC). Their key properties were tested using optical microscope, transepithelial/transendothelial electrical resistance (TEER), and permeability assays. The clear expression of VE-cadherin revealed the tight junctions in endothelial cells. Live/dead assays indicated a high cell viability, and the astrocytic morphology of HGE cells was confirmed by F-actin immunostaining. By the third day of cell culture, TEER levels typically exceeded in co-cultures. The resultant permeability coefficients showed a significant difference between 70 kDa and 40 kDa FITC-dextran. The expression of protein intercellular cell adhesion molecule (ICAM-1) and human beta defensin-2 (HBD2) decreased when exposed to TNF-α and LPS, but recovered with the NF-κB inhibitor treatment- Pyrrolidinedithiocarbamic acid (PDTC), indicating the stability of the fabricated chip. These results demonstrate that the developed epithelium-capillary interface system is a valid model for studying periodontal soft tissue function and drug delivery. Full article
(This article belongs to the Special Issue Microfluidic Based Organ-on-Chips and Biomedical Application)
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<p>Schematic description of transepithelial/transendothelial electrical resistance assays. (<b>a</b>) HGECs are seeded onto the upper non-coated porous membrane of the transwell; (<b>b</b>) HUVEC are seeded onto the bottom non-coated porous membrane of the transwell; (<b>c</b>) HGECs and HUVEC are respectively cultured on the upper and bottom sides of the porous membrane within the transwell.</p>
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<p>Primary gingival epithelial cells extraction and indirect immunocytochemical staining of cells with cytokeratin staining. (<b>a</b>) Human gingival tissue mass and the first passage HGECs showing slabstone-shaped; (<b>b</b>) HGECs immunohistochemical analysis with keratin antibody showing a positive result (the cytoplasm is brownish yellow, nuclear staining is negative, and it is blue after counterstaining with hematoxylin); (<b>c</b>) HUVEC as the control group, the expression of cytokeratin is negative.</p>
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<p>TEER-measurements in HGECs, HUVEC cells, and co-culture of HGECs and HUVEC cells. Results are mean ± SD from three or more experiments and data are analyzed by two tailed student’s <span class="html-italic">t</span>-test *** <span class="html-italic">p</span> &lt; 0.001 compared with the monolayer.</p>
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<p>Structure and design of the developed epithelium–capillary interface-on-a-chip. (<b>a</b>) Victory anatomy of periodontal tissue; (<b>b</b>) the fully fabricated periodontal soft tissue chip, the system comprises two perpendicular flow channels: channel heights are 200 μm, and chambers radium are 4 mm (lumen and albumen); (<b>c</b>) the chip consists of two PDMS layers, and a piece of polycarbonate membrane; (<b>d</b>) close-up view. Channels model the lumenal (green) and ablumenal (blue) sides of the epithelium unit. HGEC and HUVEC cells are cultured on the lumenal and ablumenal sides of the enclosed porous membrane, respectively.</p>
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<p>On-chip formation of an epithelium-capillary interface. (<b>a</b>,<b>b</b>) Live/dead stain (green: live, red: dead) of HUVEC and HGEC cells on day 3 of culture on the porous membranes. (<b>c</b>) Statistical analysis of cell viability. (<b>d</b>) Three-dimensional schematic diagram and (<b>e</b>,<b>f</b>) reconstructed views of interface formed by HUVEC and HGECs cells on the top PETE membrane tracked by celltracker<sup>TM</sup> orange (HGECs) and celltracker<sup>TM</sup> green (HUVEC).</p>
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<p>Biological characterization of the two types of epithelium−capillary interface cells on chip. (<b>a</b>) Representative images of the expression of tight junction protein VE-cadherin (green) and DAPI (blue) of HUVEC; (<b>b</b>) the cytoskeleton of HGECs on membrane (red; stained with F−actin) are visualized with nucleus (blue; stained with DAPI); (<b>c</b>) the emission spectra and fluorescence intensity (emission at 518 nm) of different concentration standards of the 40 kDa FITC−dextran; (<b>d</b>) the emission spectra and fluorescence intensity (emission at 518 nm) of different concentration standards of the 70 kDa FITC−dextran; (<b>e</b>) the fluorescence image of the HUVEC cells layer (stained with celltracker<sup>TM</sup> orange) on the porous membrane; (<b>f</b>) the apparent permeability (P<sub>app</sub>) of soluble reagents with 40 kDa and 70 kDa molecular weight FITC−dextran through the HUVEC cells layer, <span class="html-italic">n</span>  =  3. Error bars represent the standard error of the mean (SEM) of three independent experiments. Two-tailed significance was set to ** <span class="html-italic">p</span>  &lt;  0.01.</p>
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<p>Periodontal soft tissue inflammation and therapeutic responses on-chip. (<b>a</b>) Schematic diagram of inflammation model and drug model; (<b>b</b>,<b>c</b>) the graphs show effects on production of the human CD54 (ICAM-1), Human DEFB2 (HBD2) stimulation with TNF-α (10 ng mL<sup>−1</sup>) in the absence or presence of medicine on the epithelium-capillary interface chip; (<b>d</b>,<b>e</b>) The graphs show effects on production of the ICAM-1, HBD2 stimulation with LPS (10 μg mL<sup>−1</sup>) in the absence or presence of PDTC on the epithelium–capillary interface chip. <span class="html-italic">n</span>  =  3. Error bars represent the standard error of the mean (SEM) of three independent experiments. Two-tailed significance was set to * <span class="html-italic">p</span>  &lt;  0.05 and ** <span class="html-italic">p</span>  &lt;  0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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17 pages, 953 KiB  
Review
Diagnoses Based on C-Reactive Protein Point-of-Care Tests
by Miroslav Pohanka
Biosensors 2022, 12(5), 344; https://doi.org/10.3390/bios12050344 - 17 May 2022
Cited by 12 | Viewed by 10955
Abstract
C-reactive protein (CRP) is an important part of the immune system’s reaction to various pathological impulses such as bacterial infections, systemic inflammation, and internal organ failures. An increased CRP level serves to diagnose the mentioned pathological states. Both standard laboratory methods and simple [...] Read more.
C-reactive protein (CRP) is an important part of the immune system’s reaction to various pathological impulses such as bacterial infections, systemic inflammation, and internal organ failures. An increased CRP level serves to diagnose the mentioned pathological states. Both standard laboratory methods and simple point-of-care devices such as lateral flow tests and immunoturbidimetric assays serve for the instrumental diagnoses based on CRP. The current method for CRP has many flaws and limitations in its use. Biosensor and bioassay analytical devices are presently researched by many teams to provide more sensitive and better-suited tools for point-of-care tests of CRP in biological samples when compared to the standard methods. This review article is focused on mapping the diagnostical relevance of CRP, the applicability of the current analytical methods, and the recent innovations in the measurement of CRP level. Full article
(This article belongs to the Section Biosensor and Bioelectronic Devices)
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<p>X-ray crystallography structure of a pentameric CRP made by Guillon and coworkers [<a href="#B23-biosensors-12-00344" class="html-bibr">23</a>] and visualized using SWISS-MODEL online application [<a href="#B24-biosensors-12-00344" class="html-bibr">24</a>,<a href="#B25-biosensors-12-00344" class="html-bibr">25</a>,<a href="#B26-biosensors-12-00344" class="html-bibr">26</a>].</p>
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<p>Survey of CRP pathway and initiated effects.</p>
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<p>Principle of an immunoturbidimetric assay of CRP.</p>
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10 pages, 2820 KiB  
Article
Double Competitive Immunodetection of Small Analyte: Realization for Highly Sensitive Lateral Flow Immunoassay of Chloramphenicol
by Dmitriy V. Sotnikov, Lyubov V. Barshevskaya, Anastasia V. Bartosh, Anatoly V. Zherdev and Boris B. Dzantiev
Biosensors 2022, 12(5), 343; https://doi.org/10.3390/bios12050343 - 17 May 2022
Cited by 8 | Viewed by 2798
Abstract
A new scheme of reagents interaction for lateral flow immunoassay (LFIA) is proposed, which combines the features of competitive and sandwich assay and provides highly sensitive detection of low-molecular-weight analytes. Namely, the antigen in the sample interferes with the formation of the antibody [...] Read more.
A new scheme of reagents interaction for lateral flow immunoassay (LFIA) is proposed, which combines the features of competitive and sandwich assay and provides highly sensitive detection of low-molecular-weight analytes. Namely, the antigen in the sample interferes with the formation of the antibody (on the membrane)–hapten-protein–antibody (on the nanoparticle-marker) complex, competing with hapten-protein conjugate in both reactions. The proposed scheme was modelled using COPASI software, with a prediction of limit of detection (LOD) decrease by one order of magnitude compared to the standard competitive LFIA. This feature was experimentally confirmed for the detection of chloramphenicol (CAP) in honey. When tested in spiked honey, the visual LOD was 50 ng/mL for the common scheme and 5 ng/mL for the proposed scheme. Instrumental LOD was 300 pg/mL (1.2 µg/kg in conversion per sample weight of honey) in the standard scheme and 20 pg/mL (80 ng/kg in conversion per sample weight of honey) in the proposed scheme. Full article
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<p>Scheme of the (<b>a</b>) standard and (<b>b</b>) proposed alternative competitive LFIAs. 1—Gold nanoparticles; 2—antigen in the sample; 3—antibodies against the antigen; 4—carrier protein; 5—antigen conjugated with carrier protein; 6—sample application membrane; 7—conjugate application membrane; 8—working nitrocellulose membrane; 9—analytical zone; 10—control zone; 11—final adsorbing membrane.</p>
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<p>Dependence of the concentration of the detected complex in the absence of the analyte in (1) the proposed double competitive LFIA and (2) standard competitive LFIA. Model parameters: T = 30 s; t = 300 s; k<sub>ai</sub> = 10<sup>6</sup> 1/(M × s); k<sub>di</sub> = 10<sup>−4</sup> 1/s.; [A]<sub>0</sub> = 0 M. 1—[C]<sub>0</sub> = 10 nM; [R]<sub>0</sub> = 1 nM; 2—[R]<sub>0</sub> = 6.2 nM.</p>
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<p>(<b>a</b>) Theoretical calibration curves for (1) double competitive LFIA and (2) standard competitive LFIA. Model parameters: T = 30 s; t = 300 s; k<sub>ai</sub> = 10<sup>6</sup> 1/(M × s); k<sub>di</sub> = 10<sup>−4</sup> 1/s. 1—[C]<sub>0</sub> = 10 nM; [P]<sub>0</sub> = 20 nM; [R]<sub>0</sub> = 1 nM; 2—[P]<sub>0</sub> = 20 nM; [R]<sub>0</sub> = 0.62 nM. (<b>b</b>) Color intensity in the analytical zones of test strips (from Figure 5) for the determination of CAP in the (1) standard scheme of competitive LFIA and (2) proposed scheme of double competitive LFIA (<b>b</b>).</p>
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<p>Dependence of the color intensity of the analytical zones on the concentration of antibodies when conjugated with a label in the standard competitive LFIA scheme in the absence of the analyte.</p>
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<p>LFIA of CAP by (<b>a</b>) standard competitive scheme and (<b>b</b>) double competitive scheme. The appearance of test strips after the assays.</p>
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<p>LFIA of CAP in honey by (<b>a</b>) standard competitive scheme and (<b>b</b>) double competitive scheme. The appearance of test strips after the assays.</p>
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<p>Color intensity in the analytical zones of test strips (from <a href="#biosensors-12-00343-f006" class="html-fig">Figure 6</a>) for the determination of CAP: (1) in the standard scheme of competitive LFIA; (2) in the proposed scheme of double competitive LFIA.</p>
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33 pages, 8375 KiB  
Review
Targeted Molecular Imaging Probes Based on Magnetic Resonance Imaging for Hepatocellular Carcinoma Diagnosis and Treatment
by Dongxu Zhao, Jian Cao, Lei Zhang, Shaohua Zhang and Song Wu
Biosensors 2022, 12(5), 342; https://doi.org/10.3390/bios12050342 - 17 May 2022
Cited by 15 | Viewed by 3896
Abstract
Hepatocellular carcinoma (HCC) is the sixth most commonly malignant tumor and the third leading cause of cancer-related death in the world, and the early diagnosis and treatment of patients with HCC is core in improving its prognosis. The early diagnosis of HCC depends [...] Read more.
Hepatocellular carcinoma (HCC) is the sixth most commonly malignant tumor and the third leading cause of cancer-related death in the world, and the early diagnosis and treatment of patients with HCC is core in improving its prognosis. The early diagnosis of HCC depends largely on magnetic resonance imaging (MRI). MRI has good soft-tissue resolution, which is the international standard method for the diagnosis of HCC. However, MRI is still insufficient in the diagnosis of some early small HCCs and malignant nodules, resulting in false negative results. With the deepening of research on HCC, researchers have found many specific molecular biomarkers on the surface of HCC cells, which may assist in diagnosis and treatment. On the other hand, molecular imaging has progressed rapidly in recent years, especially in the field of cancer theranostics. Hence, the preparation of molecular imaging probes that can specifically target the biomarkers of HCC, combined with MRI testing in vivo, may achieve the theranostic purpose of HCC in the early stage. Therefore, in this review, taking MR imaging as the basic point, we summarized the recent progress regarding the molecular imaging targeting various types of biomarkers on the surface of HCC cells to improve the theranostic rate of HCC. Lastly, we discussed the existing obstacles and future prospects of developing molecular imaging probes as HCC theranostic nanoplatforms. Full article
(This article belongs to the Special Issue Advances in Nanomedicines for Disease Diagnosis and Therapeutics)
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<p>The schematic diagram of nanodrug targeted delivery.</p>
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<p>The above is a list of the receptors that are overexpressed in HCC cells.</p>
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<p>(<b>A</b>) The Gd ions used for MR imaging and the antibodies targeting AFP were connected to the outer surface of spherical micelles, and the paclitaxel were encapsulated in the core of micelles for treatment to achieve the purpose of theranostics; (<b>B</b>) Carboxylated dextran was used to modify the surface of USPIO directly. A single particle surface has a high coupling efficiency and can couple 12 anti-AFP ant.</p>
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<p>(<b>A</b>) A scheme to illustrate the structure of active dual-target nanostructured lipid carrier and the targeted imaging effect in HCC orthotopic mice. (<b>B</b>) Cells can specifically uptake the lipid carrier and increase the expression of intracellular ferritin. (**, <span class="html-italic">p</span> &lt; 0.01, *, <span class="html-italic">p</span> &lt; 0.05, compared with control group). (<b>C</b>) T2-weighted imaging of HCC orthotopic mice in vivo (**, <span class="html-italic">p</span> &lt; 0.01, *, <span class="html-italic">p</span> &lt; 0.05). Reproduced with permission Ref. [<a href="#B109-biosensors-12-00342" class="html-bibr">109</a>]. Copyright 2017 American Chemical Society.</p>
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<p>(<b>A</b>) Two-step method achieved MRI/NIRF dual-modal imaging [<a href="#B54-biosensors-12-00342" class="html-bibr">54</a>]. HepG2 cells were incubated with the biotin-conjugated GPC-3 antibodies, and then incubated with dual-modal nanoprobes carrying streptavidin. (<b>B</b>) Anti-GPC-3 PBNPs for targeted MR imaging and photothermal ablation in vitro. (<b>a</b>,<b>b</b>) exhibited images of different concentrations of anti-GPC-3 PBNPs under T<sub>1</sub> and T<sub>2</sub> weighted imaging, and MR imaging after incubated with tumor cells, respectively. Reproduced with permission Ref. [<a href="#B55-biosensors-12-00342" class="html-bibr">55</a>]. Copyright 2014 Royal Society of Chemistry.</p>
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<p>WS<sub>2</sub>-Ga<sup>3+</sup>-PEG-peptide nanoprobe served as a bimodal imaging and photothermal agent. Reproduced with permission Ref. [<a href="#B47-biosensors-12-00342" class="html-bibr">47</a>]. Copyright 2018 Future Medicine LTD. (<b>A</b>) The MR imaging in subcutaneous and orthotopic HCC models. (<b>B</b>) The photoacoustic imaging in subcutaneous HCC models. (<b>C</b>) The quantified signal intensities of MR and photoacoustic imaging. (<b>D</b>) Effect of photothermal therapy in subcutaneous HCC models.</p>
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<p>The synthesis and theranostic applications of GBP-FANP. Reproduced with permission Ref. [<a href="#B49-biosensors-12-00342" class="html-bibr">49</a>]. Copyright 2019 Royal Society of Chemistry. (<b>A</b>) The synthesis of GBP-FANP and design of trial. (<b>B</b>) Non-invasively targeted MR imaging, fluorescence imaging and photoacoustic imaging in vivo. (<b>C</b>) Photothermal treatment effect of GBP-FANP.</p>
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<p>Different types of molecular imaging probes targeting folate receptors. (<b>A</b>) A schematic diagram of tumor-specific uptake and in vivo distribution of nanocomplexes carrying siRNA and SPIONs for treatment and diagnosis. Reproduced with permission Ref. [<a href="#B56-biosensors-12-00342" class="html-bibr">56</a>]. Copyright 2015 Hepatology. (<b>B</b>) The synthesis of pH-sensitive magnetic macro-porous mesoporous silica nanoparticles. Reproduced with permission Ref. [<a href="#B60-biosensors-12-00342" class="html-bibr">60</a>]. Copyright 2019 IOP Publishing. (<b>C</b>) Synthesis of folic acid conjugated PEG-PLGA diblock polymer. SPION and sorafenib were co-encapsulated into folic acid-PEG-PLGA to produce multifunctional nanoparticles. Reproduced with permission Ref. [<a href="#B61-biosensors-12-00342" class="html-bibr">61</a>]. Copyright 2015 Elsevier. (<b>D</b>) Synthesis of folic acid-targeted metal organic frameworks. Reproduced with permission Ref. [<a href="#B57-biosensors-12-00342" class="html-bibr">57</a>]. Copyright 2019 Dovepress. (<b>E</b>) Folic acid-targeted CuFeSe<sub>2</sub> nanoparticles that can be used in MRI/CT dual-modal imaging. Reproduced with permission Ref. [<a href="#B65-biosensors-12-00342" class="html-bibr">65</a>]. Copyright 2021 Dovepress.</p>
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<p>(<b>A</b>) Preparation of molecular probes targeting VEGF. Reproduced with permission Ref. [<a href="#B68-biosensors-12-00342" class="html-bibr">68</a>]. Copyright 2013 Wiley Online Library. (<b>B</b>) The synthesis of probes targeting VEGFR. Reproduced with permission Ref. [<a href="#B69-biosensors-12-00342" class="html-bibr">69</a>]. Copyright 2017 Dovepress.</p>
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<p>Research about various types of probes targeting Integrin. (<b>A</b>) Integrin α6 targeted MR molecular imaging probe for HCC detection. Reproduced with permission Ref. [<a href="#B71-biosensors-12-00342" class="html-bibr">71</a>]. Copyright 2021 Dovepress. (<b>B</b>) The synthesis of integrin α<sub>v</sub>β<sub>3</sub> active targeted T1 molecular imaging probe and MR images. Reproduced with permission Ref. [<a href="#B73-biosensors-12-00342" class="html-bibr">73</a>]. Copyright 2016 Dovepress. (<b>C</b>) MR/NIRF dual modal imaging probe. Reproduced with permission Ref. [<a href="#B78-biosensors-12-00342" class="html-bibr">78</a>]. Copyright 2017 Dovepress. (<b>D</b>) Schematic diagram of doxorubicin-loaded molecular imaging probes. Reproduced with permission Ref. [<a href="#B76-biosensors-12-00342" class="html-bibr">76</a>]. Copyright 2017 Dovepress.</p>
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<p>(<b>A</b>). Construction of endoglin-targeted MR/optimal dual-mode molecular imaging probe using aptamer as ligand. (<b>B</b>). The as-synthesized nanoprobe successfully achieved MR/optimal dual modal imaging in vivo by targeting endoglin overexpressed on the surface of HCC cells and endothelial cells of neovasculature. Reproduced with permission Ref. [<a href="#B80-biosensors-12-00342" class="html-bibr">80</a>]. Copyright 2018 American Chemical Society.</p>
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<p>(<b>A</b>) The synthesis of MRI/NIRF dual-modal probe and effect of imaging. Reproduced with permission [<a href="#B82-biosensors-12-00342" class="html-bibr">82</a>]. Copyright 2018, Dovepress. (<b>B</b>) The composition of MRI/CT dual-modal probe and theranostic mechanism. Reproduced with permission [<a href="#B83-biosensors-12-00342" class="html-bibr">83</a>]. Copyright 2014, American Chemical Society.</p>
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<p>(<b>A</b>) Preparation of glutathione-responsive micelles loaded with doxorubicin and SPIONs, and 100% release of doxorubicin in reduction state. Reproduced with permission Ref. [<a href="#B88-biosensors-12-00342" class="html-bibr">88</a>]. Copyright 2019 Elsevier. (<b>B</b>) Preparation and imaging of MRI/CT dual-mode probe. Reproduced with permission Ref. [<a href="#B86-biosensors-12-00342" class="html-bibr">86</a>]. Copyright 2016 Springer Nature. (<b>C</b>) Transarterial infusion of nanoprobes for localization of lesions and determination of surgical margins. This probe can provide MRI and real-time fluorescence imaging for diagnosis and resection. Reproduced with permission Ref. [<a href="#B89-biosensors-12-00342" class="html-bibr">89</a>]. Copyright 2016 Elsevier.</p>
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19 pages, 3018 KiB  
Article
Solving Color Reproducibility between Digital Devices: A Robust Approach of Smartphones Color Management for Chemical (Bio)Sensors
by Pablo Cebrián, Leticia Pérez-Sienes, Isabel Sanz-Vicente, Ángel López-Molinero, Susana de Marcos and Javier Galbán
Biosensors 2022, 12(5), 341; https://doi.org/10.3390/bios12050341 - 17 May 2022
Cited by 5 | Viewed by 3606
Abstract
In the past twelve years, digital image colorimetry (DIC) on smartphones has acquired great importance as an alternative to the most common analytical techniques. This analysis method is based on fast, low-cost, and easily-accessible technology, which can provide quantitative information about an analyte [...] Read more.
In the past twelve years, digital image colorimetry (DIC) on smartphones has acquired great importance as an alternative to the most common analytical techniques. This analysis method is based on fast, low-cost, and easily-accessible technology, which can provide quantitative information about an analyte through the color changes of a digital image. Despite the fact that DIC is very widespread, it is not exempt from a series of problems that are not fully resolved yet, such as variability of the measurements between smartphones, image format in which color information is stored, power distribution of the illuminant used for the measurements, among others. This article proposes a methodology for the standardization and correction of these problems using self-developed software, together with the use of a 3D printed light box. This methodology is applied to three different colorimetric analyses using different types and brands of smartphones, proving that comparable measurements between devices can be achieved. As color can be related to many target analytes, establishing this measurement methodology can lead to new control analysis applicable to diverse sectors such as alimentary, industrial, agrarian, or sanitary. Full article
(This article belongs to the Special Issue Smartphone-Based Sensors for Biomedical Applications)
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<p>The self-developed graph shows the number of publications related to the use of smartphones for analytical purposes by year. The data was compiled by searching the keywords “Smartphone analytical determinations” in the Google Scholar Research Gate. The graph shows a significant increase in the published articles in the last twelve years.</p>
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<p>Scheme of the color measurement system used for this article. First, the LED strip is accommodated inside the light box. Second, the complementary piece is mounted on the upper part of the light box. Finally, the color sample is placed behind the light box and the photography is taken with the smartphone.</p>
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<p>Flowchart for the correction of color samples. The methodology is based on a four-step process: (1) Initial evaluation of the color samples using CIE∆E2000, (2) Correction matrices generation with the Python-based software, (3) Color calibration by applying the matrices generated to the color samples, (4) Application of the methodology and matrices in real samples.</p>
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<p>Normalized spectral power distribution of four different illuminants with respect to their maximum wavelength. The individual spectral power distribution of the illuminants is compared with the D<sub>50</sub> Illuminant represented at the back of the graphic.</p>
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<p>Box and Whisker plot of 5 RAL samples chosen randomly, associated with their RGB values. The lighter colors are the RGB values before the correction and the darker ones are after the correction. (<b>a</b>) Red channel values of five samples before/after the correction. (<b>b</b>) Green channel values of five samples before/after the correction. (<b>c</b>) Blue channel values of five samples before/after the correction.</p>
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<p>Calibration of 12 solutions of different concentrations of peroxide hydrogen. The plot was adjusted to a second-degree polynomial equation.</p>
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<p>pH calibration of 12 solutions in the range of 2 to 14 in pH. This plot shows the color transition for the PanReac AppliChem<sup>®</sup>pH strips between the pH values measured with the Xiaomi Redmi 6A Smartphone.</p>
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<p>pH measurements with a Xiaomi Redmi 6A Smartphone. (<b>a</b>) Logistic function of the color measurements. (<b>b</b>) Linearized form of the logistic function for the color measurements. For the best-linearized fit, the values of pH 2, 3, 4, and 14 were discarded.</p>
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12 pages, 3382 KiB  
Article
Bead Number Effect in a Magnetic-Beads-Based Digital Microfluidic Immunoassay
by Wensyang Hsu, Yu-Teng Shih, Meng-Shiue Lee, Hong-Yuan Huang and Wan-Ning Wu
Biosensors 2022, 12(5), 340; https://doi.org/10.3390/bios12050340 - 16 May 2022
Cited by 13 | Viewed by 3990
Abstract
In a biomedical diagnosis with a limited sample volume and low concentration, droplet-based microfluidics, also called digital microfluidics, becomes a very attractive approach. Previously, our group developed a magnetic-beads-based digital microfluidic immunoassay with a bead number of around 100, requiring less than 1 [...] Read more.
In a biomedical diagnosis with a limited sample volume and low concentration, droplet-based microfluidics, also called digital microfluidics, becomes a very attractive approach. Previously, our group developed a magnetic-beads-based digital microfluidic immunoassay with a bead number of around 100, requiring less than 1 μL of sample volume to achieve a pg/mL level limit of detection (LOD). However, the bead number in each measurement was not the same, causing an unstable coefficient of variation (CV) in the calibration curve. Here, we investigated whether a fixed number of beads in this bead-based digital microfluidic immunoassay could provide more stable results. First, the bead screening chips were developed to extract exactly 100, 49, and 25 magnetic beads with diameters of less than 6 μm. Then, four calibration curves were established. One calibration curve was constructed by using varying bead numbers (50–160) in the process. The other three calibration curves used a fixed number of beads, (100, 49, and 25). The results indicated that the CVs for a fixed number of beads were evidently smaller than the CVs for varying bead numbers, especially in the range of 1 pg/mL to 100 pg/mL, where the CVs for 100 beads were less than 10%. Furthermore, the calculated LOD, based on the composite calibration curves, could be reduced by three orders, from 3.0 pg/mL (for the unfixed bead number) to 0.0287 pg/mL (for 100 beads). However, when the bead numbers were too high (more than 500) or too low (25 or fewer), the bead manipulation for aggregation became more difficult in the magnetic-beads-based digital microfluidic immunoassay chip. Full article
(This article belongs to the Special Issue Biosensors Based on Microfluidic Devices)
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<p>Operating concept: (<b>a</b>) obtaining the specified magnetic bead number on a bead screening chip; (<b>b</b>) immunoassay process on the chip with a fixed number of magnetic beads; (<b>c</b>) beads’ aggregation for fluorescence intensity measurement at the detection area.</p>
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<p>Obtaining the specified bead number on the bead screening chip. (<b>a</b>) Move the bead droplet and magnet to fill the wells with beads: (<b>a1</b>) Drag the bead droplet towards the wells; (<b>a2</b>) Move the droplet and magnet backward and forward to fill the wells with beads. (<b>b</b>) Remove excessive beads with liquid by a pipet. (<b>c</b>) Every well was filled with exact one bead; (<b>d</b>) Use a magnet to attract the beads to the droplet top surface and then retrieve the droplet with all beads by a pipet.</p>
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<p>The digital microfluidic chip for immunoassay.</p>
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<p>Comparison of the calibration curves obtained by an unfixed number of magnetic beads (50–160) and three fixed numbers of magnetic beads (100, 49, and 25).</p>
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<p>Comparison of the CV values of an unfixed number of magnetic beads and three different fixed numbers of magnetic beads at different concentrations.</p>
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<p>Fluorescence intensity distribution and composite calibration curves for the unfixed number of magnetic beads and for the other three with fixed numbers of magnetic beads at the low concentrations of 0.0 pg/mL, 0.1 pg/mL, and 1.0 pg/mL. (<b>a</b>) The measured fluorescence intensity distribution overlaps when the number of magnetic beads is unfixed (50–160). When the fixed numbers of magnetic beads are (<b>b</b>) 100 beads, (<b>c</b>) 49 beads, or (<b>d</b>) 25 beads at concentrations of 0.0 pg/mL, 0.1 pg/mL, and 1.0 pg/mL, respectively, the fluorescence intensity distributions do not overlap. The LODs for (<b>a</b>) variable beads, (<b>b</b>) 100 beads, (<b>c</b>) 49 beads, and (<b>d</b>) 25 beads are 3.0 pg/mL, 0.0287 pg/mL, 0.0255 pg/mL, and 0.0508 pg/mL, respectively. n = 3.</p>
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<p>Microscopic images of successful aggregation at bead numbers of (<b>a</b>) 25, (<b>b</b>) 49, and (<b>c</b>) 100.</p>
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<p>Beads aggregation issue with too few or too many beads. (<b>a</b>) 25 magnetic beads: (<b>a1</b>) Some magnetic beads cannot be aggregated; (<b>a2</b>) The droplet with 25 magnetic beads, black shadow was the magnet; (<b>a3</b>) Some magnetic beads could not be aggregated. (<b>b</b>) More than 500 magnetic beads: (<b>b1</b>) Some magnetic beads were stuck and could not be moved; (<b>b2</b>) The droplet with more than 500 beads; (<b>b3</b>) Some successfully aggregated beads.</p>
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23 pages, 6629 KiB  
Article
Portable Respiration Monitoring System with an Embroidered Capacitive Facemask Sensor
by Mitar Simić, Adrian K. Stavrakis, Ankita Sinha, Velibor Premčevski, Branko Markoski and Goran M. Stojanović
Biosensors 2022, 12(5), 339; https://doi.org/10.3390/bios12050339 - 15 May 2022
Cited by 21 | Viewed by 4431
Abstract
Respiration monitoring is a very important indicator of health status. It can be used as a marker in the recognition of a variety of diseases, such as sleep apnea, asthma or cardiac arrest. The purpose of the present study is to overcome limitations [...] Read more.
Respiration monitoring is a very important indicator of health status. It can be used as a marker in the recognition of a variety of diseases, such as sleep apnea, asthma or cardiac arrest. The purpose of the present study is to overcome limitations of the current state of the art in the field of respiration monitoring systems. Our goal was the development of a lightweight handheld device with portable operation and low power consumption. The proposed approach includes a textile capacitive sensor with interdigitated electrodes embroidered into the facemask, integrated with readout electronics. Readout electronics is based on the direct interface of the capacitive sensor and a microcontroller through just one analog and one digital pin. The microcontroller board and sensor are powered by a smartphone or PC through a USB cable. The developed mobile application for the Android™ operating system offers reliable data acquisition and acts as a bridge for data transfer to the remote server. The embroidered sensor was initially tested in a humidity-controlled chamber connected to a commercial impedance analyzer. Finally, in situ testing with 10 volunteering subjects confirmed stable operation with reliable respiration monitoring. Full article
(This article belongs to the Special Issue Electrochemical (Bio)Sensors and Energy Autonomous Sensing System)
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<p>Block schematic of the system for respiration monitoring.</p>
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<p>Designed specifications of the embroidered capacitive facemask sensor.</p>
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<p>Electrical schematic of microcontroller-based capacitance to voltage conversion.</p>
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<p>Electrical connections between the readout electronics and the facemask sensor: (<b>a</b>) snap buttons on the facemask and (<b>b</b>) snap buttons connected to the readout electronics through a copper wires and a 3.5 mm connector.</p>
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<p>Facemask with embroidered capacitive sensor: (<b>a</b>) inner side, (<b>b</b>) outer side and (<b>c</b>) IDE capacitive sensor.</p>
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<p>(<b>a</b>) Increase in capacitance of the face mask sensor with the increase in relative humidity at 100 kHz (mean values and error bars for three times repeated measurement); (<b>b</b>) results of linear regression analysis.</p>
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<p>(<b>a</b>) The hardware layout of the readout electronics; (<b>b</b>) the weight of the final unit.</p>
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<p>I/O pin equivalent schematic of the ATmega328P [<a href="#B35-biosensors-12-00339" class="html-bibr">35</a>].</p>
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<p>Direct interface of the measured capacitance with the microcontroller.</p>
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<p>The screenshot of the developed facemask application.</p>
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<p>Relative capacitance changes in the fabricated facemask sensor left on the office table without humidity sources.</p>
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<p>A volunteer wearing facemask with sensor.</p>
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<p>(<b>a</b>) Relative capacitance changes in the fabricated facemask sensor for breathing monitoring; (<b>b</b>) enlarged portion of a shorter time period.</p>
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<p>Determination of the response time during (<b>a</b>) exhalation phase and (<b>b</b>) inhalation phase.</p>
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<p>Measured sensor’s capacitance over a 60 s test in the case of (<b>a</b>) 10 breaths, (<b>c</b>) 44 breaths, (<b>e</b>) 86 breaths, and enlarged details of a 10 s period in the case of (<b>b</b>) 10 breaths, (<b>d</b>) 44 breaths, (<b>f</b>) 86 breaths.</p>
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<p>Measured sensor’s capacitance over a 60 s test in the case of (<b>a</b>) 10 breaths, (<b>c</b>) 44 breaths, (<b>e</b>) 86 breaths, and enlarged details of a 10 s period in the case of (<b>b</b>) 10 breaths, (<b>d</b>) 44 breaths, (<b>f</b>) 86 breaths.</p>
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<p>Measured relative change in the sensor’s capacitance for 10 subjects.</p>
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<p>Measured relative change in the sensor’s capacitance for 10 subjects.</p>
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<p>Experimental setup for power consumption determination.</p>
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<p>(<b>a</b>) Three-dimensionally printed component for facemask bending tests; (<b>b</b>) facemask placed in holder with a 90-degree bending angle.</p>
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<p>Sensor capacitance for different bending angles.</p>
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<p>Relative change in sensor’s capacitance during 10 bending cycles.</p>
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9 pages, 1295 KiB  
Communication
Establishment and Comparative Analysis of Enzyme-Linked Immunoassay and Time-Resolved Fluoroimmunoassay for the Determination of Trace Quinclorac in Environment
by Xue Liu, Xiuzhai Chen, Xu Zhu, Qing Lin, Xi Pan, Xiaolei Tan, Yongfeng Guo, Jun Qiu and Song Fang
Biosensors 2022, 12(5), 338; https://doi.org/10.3390/bios12050338 - 14 May 2022
Cited by 4 | Viewed by 2346
Abstract
As a common herbicide in farmland, there has been wide concern over quinclorac residue because of its potential risks to the environment and human health. For the detection and monitoring of quinclorac residue in the environment, enzyme-linked immunoassay (ELISA) and time-resolved fluoroimmunoassay (TRFIA) [...] Read more.
As a common herbicide in farmland, there has been wide concern over quinclorac residue because of its potential risks to the environment and human health. For the detection and monitoring of quinclorac residue in the environment, enzyme-linked immunoassay (ELISA) and time-resolved fluoroimmunoassay (TRFIA) were established. The half-maximal inhibition concentrations (IC50) of ELISA and TRFIA were 0.169 mg/L and 0.087 mg/L with a linear range (IC20–IC80) of 0.020–1.389 mg/L and 0.004–1.861 mg/L, respectively. Compared with ELISA, the limit of detection (LOD, IC20) and IC50 of TRFIA improved approximately 5-fold and 2-fold. The cross-reaction rates for the quinclorac analogs were less than 2%. The average recoveries of quinclorac in river water, paddy water, paddy soil, and brown rice samples were 77.3–106.1%, with RSDs of 1.7–12.5%. More importantly, the results of the two methods were consistent with that of the referenced method of UPLC-MS/MS (R2 > 0.98). ELISA and TRFIA both showed good detection performance and could meet the requirements of the quantitative determination of quinclorac. Therefore, the proposed ELISA and TRFIA could be applied to the rapid and sensitive detection and monitoring of quinclorac residue in the environment. Full article
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<p>The preparation route of the quinclorac hapten and artificial antigen.</p>
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<p>The standard curves of ELISA and TRFIA for quinclorac (<span class="html-italic">n</span> = 3).</p>
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<p>The correlation between ELISA, TRFIA, and UPLC-MS/MS for quinclorac.</p>
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16 pages, 4513 KiB  
Article
Multilayered Mesoporous Composite Nanostructures for Highly Sensitive Label-Free Quantification of Cardiac Troponin-I
by Mohsen Saeidi, Mohammad Ali Amidian, Sana Sheybanikashani, Hossein Mahdavi, Homayoon Alimohammadi, Leila Syedmoradi, Fatemeh Mohandes, Ali Zarrabi, Elnaz Tamjid, Kobra Omidfar and Abdolreza Simchi
Biosensors 2022, 12(5), 337; https://doi.org/10.3390/bios12050337 - 14 May 2022
Cited by 15 | Viewed by 3324
Abstract
Cardiac troponin-I (cTnI) is a well-known biomarker for the diagnosis and control of acute myocardial infarction in clinical practice. To improve the accuracy and reliability of cTnI electrochemical immunosensors, we propose a multilayer nanostructure consisting of Fe3O4-COOH labeled anti-cTnI [...] Read more.
Cardiac troponin-I (cTnI) is a well-known biomarker for the diagnosis and control of acute myocardial infarction in clinical practice. To improve the accuracy and reliability of cTnI electrochemical immunosensors, we propose a multilayer nanostructure consisting of Fe3O4-COOH labeled anti-cTnI monoclonal antibody (Fe3O4-COOH-Ab1) and anti-cTnI polyclonal antibody (Ab2) conjugated on Au-Ag nanoparticles (NPs) decorated on a metal–organic framework (Au-Ag@ZIF-67-Ab2). In this design, Fe3O4-COOH was used for separation of cTnI in specimens and signal amplification, hierarchical porous ZIF-67 extremely enhanced the specific surface area, and Au-Ag NPs synergically promoted the conductivity and sensitivity. They were additionally employed as an immobilization platform to enhance antibody loading. Electron microscopy images indicated that Ag-Au NPs with an average diameter of 1.9 ± 0.5 nm were uniformly decorated on plate-like ZIF-67 particles (with average size of 690 nm) without any agglomeration. Several electrochemical assays were implemented to precisely evaluate the immunosensor performance. The square wave voltammetry technique exhibited the best performance with a sensitivity of 0.98 mA mL cm−2 ng−1 and a detection limit of 0.047 pg mL−1 in the linear range of 0.04 to 8 ng mL−1. Full article
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<p>FE-SEM images of (<b>a</b>) ZIF-67, (<b>b</b>) Au@ZIF-67, (<b>c</b>) Ag@ZIF-67, and (<b>d</b>) Au-Ag@ZIF-67. HR-TEM of (<b>e</b>) and (<b>f</b>) ZIF-67 (inset of (<b>f</b>) shows the corresponding SAED pattern), and (<b>g</b>–<b>i</b>) Au-Ag NP@ZIF-67 (insets of (<b>h</b>,<b>i</b>) show the corresponding nanoparticle size distribution and FFT pattern, respectively).</p>
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<p>EDS mapping of (<b>a</b>) ZIF-67 and (<b>b</b>) Au-Ag@ZIF-67.</p>
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<p>(<b>a</b>) XRD patterns of ZIF-67 and Au-Ag@ZIF-67, (<b>b</b>) FTIR spectrum of ZIF-67, (<b>c</b>–<b>g</b>) XPS spectra of ZIF-67, (<b>h</b>) N<sub>2</sub> adsorption/desorption isotherms, and (<b>i</b>) Pore size distributions of samples.</p>
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<p>Schematic illustration of the procedure used for preparing the cTnI immunosensors.</p>
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<p>(<b>a</b>,<b>c</b>) CV curves; (<b>b</b>,<b>d</b>) EIS characterization of the stepwise modified SPCE. All experiments were implemented in a solution of 5 mM [Fe(CN)<sub>6</sub>]<sup>3/4-</sup> in 0.01 M PBS containing 0.1 M KCl. Scan rate was 50 mV s<sup>−1</sup>. ((i): Ab<sub>2</sub>/Au-Ag@ZIF-67/SPCE, (ii): BSA/Ab<sub>2</sub>/Au-Ag@ZIF-67/SPCE, (iii): Fe<sub>3</sub>O<sub>4</sub>-COOH-Ab<sub>1</sub> added to BSA/Ab<sub>2</sub>/Au-Ag@ZIF-67/SPCE, (iv): Fe<sub>3</sub>O<sub>4</sub>-COOH-Ab<sub>1</sub>-cTnI/BSA/Ab<sub>2</sub>/Au-Ag@ZIF-67/SPCE).</p>
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<p>(<b>a</b>) CV curves at the scan rate of 50 mV s<sup>−1</sup>; (<b>b</b>) EIS curves for various cTnI concentrations from 0 to 10 ng mL<sup>−1</sup>. (<b>c</b>,<b>d</b>) the corresponding calibration curves with the linear fitting equations for (<b>a</b>,<b>b</b>), respectively. All experiments were implemented in a solution of 5 mM [Fe(CN)<sub>6</sub>]<sup>3-/4-</sup> in 0.01 M PBS containing 0.1 M KCl. cTnI concentrations increased in the following order (i): 0, (ii): 0.04, (iii): 0.1, (iv): 0.2, (v): 0.3, (vi): 0.4, (vii): 0.5, (viii): 0.6, (ix): 0.7, (x): 0.8, (xi): 0.9, (xii): 1, (xiii): 2, (xiv): 3, (xv): 4, (xvi): 5, (xvii): 6, (xviii): 7, (xix): 8, (xx): 9, and (xxi): 10 ng mL<sup>−1</sup>.</p>
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<p>(<b>a</b>) DPV curves at the modulation amplitude of 0.25 V; (<b>b</b>) SWV curves at the frequency of 15 Hz. (<b>c</b>,<b>d</b>) the corresponding calibration curves with the linear fitting equations for (<b>a</b>,<b>b</b>), respectively. All experiments were implemented in a solution of 5 mM [Fe(CN)<sub>6</sub>]<sup>3-/4-</sup> in 0.01 M PBS containing 0.1 M KCl. cTnI concentrations increased in the following order (i): 0, (ii): 0.04, (iii): 0.1, (iv): 0.2, (v): 0.3, (vi): 0.4, (vii): 0.5, (viii): 0.6, (ix): 0.7, (x): 0.8, (xi): 0.9, (xii): 1, (xiii): 2, (xiv): 3, (xv): 4, (xvi): 5, (xvii): 6, (xviii): 7, (xix): 8, (xx): 9, and (xxi): 10 ng mL<sup>−1</sup>.</p>
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20 pages, 4217 KiB  
Review
Assessment of Nanoparticle-Mediated Tumor Oxygen Modulation by Photoacoustic Imaging
by Maharajan Sivasubramanian and Leu-Wei Lo
Biosensors 2022, 12(5), 336; https://doi.org/10.3390/bios12050336 - 13 May 2022
Cited by 8 | Viewed by 3698
Abstract
Photoacoustic imaging (PAI) is an invaluable tool in biomedical imaging, as it provides anatomical and functional information in real time. Its ability to image at clinically relevant depths with high spatial resolution using endogenous tissues as contrast agents constitutes its major advantage. One [...] Read more.
Photoacoustic imaging (PAI) is an invaluable tool in biomedical imaging, as it provides anatomical and functional information in real time. Its ability to image at clinically relevant depths with high spatial resolution using endogenous tissues as contrast agents constitutes its major advantage. One of the most important applications of PAI is to quantify tissue oxygen saturation by measuring the differential absorption characteristics of oxy and deoxy Hb. Consequently, PAI can be utilized to monitor tumor-related hypoxia, which is a crucial factor in tumor microenvironments that has a strong influence on tumor invasiveness. Reactive oxygen species (ROS)-based therapies, such as photodynamic therapy, radiotherapy, and sonodynamic therapy, are oxygen-consuming, and tumor hypoxia is detrimental to their efficacy. Therefore, a persistent demand exists for agents that can supply oxygen to tumors for better ROS-based therapeutic outcomes. Among the various strategies, NP-mediated supplemental tumor oxygenation is especially encouraging due to its physio-chemical, tumor targeting, and theranostic properties. Here, we focus on NP-based tumor oxygenation, which includes NP as oxygen carriers and oxygen-generating strategies to alleviate hypoxia monitored by PAI. The information obtained from quantitative tumor oxygenation by PAI not only supports optimal therapeutic design but also serves as a highly effective tool to predict therapeutic outcomes. Full article
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<p>Schematic illustration of PAI.</p>
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<p>(<b>a</b>) The diagram of dosage regimen. (<b>b</b>) Inhibition of 4T1 tumor growth by PDT and IDO inhibitor. Tumor-bearing mice were intratumorally injected with oxygen-saturated PF-PEG@Ce6@NLG 919, and the tumor sites were illuminated (660 nm, 55 W/cm<sup>2</sup>). (<b>c</b>) Photograph of the tumors removed on day 14. (<b>d</b>) The weight of the tumor treated with different formulations on the last day. (<b>e</b>) TUNEL staining of tumor sections. The green light spots represent DNA damage tagged on FITC; the blue represents the nucleus labeled with DAPI. (<b>f</b>) The body weight of the mice. <span class="html-italic">p</span> values: ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, one-way ANOVA, <span class="html-italic">n</span> = 5. (<b>g</b>) Immunofluorescence staining of tumor sections to detect whether the PF-PEG group could improve hypoxia in vivo. The nucleus and the anoxic region were stained with DAPI (blue) and SOSG (green), respectively. Reproduced with permission [<a href="#B74-biosensors-12-00336" class="html-bibr">74</a>]. Copyright 2019, Elsevier B.V.</p>
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<p>(<b>a</b>) Schematic illustration of the synthesis procedures and antitumor mechanism of OHZ NP. (<b>b</b>) Schematic illustration of OHZ NP for tumor treatment. (<b>c</b>) Relative tumor volume curves of mice treated with various treatments, (<b>d</b>) tumor weights of mice at the 14th day after the treatments, and (<b>e</b>) the photographs of mice and tumors in different groups at the end of treatments of the subcutaneous tumor treatment group. (<b>f</b>) Relative tumor volume curves of mice treated with various treatments, (<b>g</b>) tumor weights of mice at the 14th day after the treatments, and (<b>h</b>) the photographs of mice and tumors in different groups at the end of treatments of the deep-seated tumor treatment group mimicked by 2 cm chicken slice blocking. <span class="html-italic">p</span> values were calculated via ANOVA (*** <span class="html-italic">p</span> &lt; 0.001). Fluorescence images of (<b>i</b>) subcutaneous tumor slices and (<b>j</b>) deep-seated tumor slices after being stained by H&amp;E and TUNEL. Reproduced with permission [<a href="#B86-biosensors-12-00336" class="html-bibr">86</a>]. Copyright 2021, American Chemical Society.</p>
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<p>(<b>a</b>) Relative tumor growth curves recorded during treatment. The dosage of ICG/AuNR@BCNP in mice was equivalent to ICG 1.0 mg/kg and Au 0.76 mg/kg. (<b>b</b>) Weight and photograph of isolated tumor at the end of treatment. (<b>c</b>) Immunofluorescence staining of tumor sections with TUNEL, anti-HIF-1α, and anti-CD31 antibody. Scale bar: 50 or 100 μm. Corresponding semiquantitative analysis of (<b>d</b>) the apoptotic index and (<b>e</b>) HIF-1α and (<b>f</b>) CD31 positive areas (mean ± SD, <span class="html-italic">n</span> = 3–5, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001). (<b>g</b>) H&amp;E and ki67 staining of tumor sections. Scale bars: 1 mm for low magnification, 100 μm for high magnification. Reproduced with permission [<a href="#B95-biosensors-12-00336" class="html-bibr">95</a>]. Copyright 2020, American Chemical Society.</p>
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<p>In vivo combined chemo-PDT treatment with H-MnO<sub>2</sub>-PEG/C&amp;D. (<b>a</b>) Representative immunofluorescence images of 4T1 tumor slices collected from untreated control mice and mice 6 h and 12 h post i.v. injection with H-MnO<sub>2</sub>-PEG/C&amp;D. The nuclei, blood vessels, and hypoxic areas were stained with DAPI (blue), anti-CD31 antibody (red), and anti-pimonidazole antibody (green), respectively (three mice per group). (<b>b</b>) Quantification of hypoxia areas in tumors at different time points post injection of our NP. (<b>c</b>) Tumor growth curves of different groups of mice after various treatments indicated. Error bars were based on standard errors of the mean (SEM) (six mice per group). (<b>d</b>) Average weight of tumors collected from mice at day 14 post initiation of various treatments. The predicted addictive effect was calculated by multiplying the tumor growth inhibition ratios of group 4 (PDT alone) and group 5 (chemotherapy alone). (<b>e</b>) H&amp;E-stained tumor slices collected from mice post various treatments indicated. <span class="html-italic">p</span> values in (<b>c</b>,<b>d</b>) were calculated by Tukey’s post-test (*** <span class="html-italic">p</span>  &lt;  0.001, ** <span class="html-italic">p</span>  &lt;  0.01, or * <span class="html-italic">p</span>  &lt;  0.05). Reproduced with permission [<a href="#B100-biosensors-12-00336" class="html-bibr">100</a>]. Copyright 2017, Nature publishing group.</p>
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<p>(<b>a</b>) Representative PA images of B16 tumors on mice showing signals of oxygenated hemoglobin (λ = 850 nm) before/after i.v. injection of various formulations. (<b>b</b>) The corresponding quantification of the tumor vascular saturated O<sub>2</sub> levels (sO<sub>2</sub>) calculated from (<b>a</b>). (<b>c</b>) Immunofluorescence staining of tumor sections showing the expression of HIF-1α after i.v. injection of various formulations (<b>d</b>) Quantitative analysis of HIF-1α positive areas for each group in (<b>c</b>) by using the ImageJ software (<span class="html-italic">n</span> = 5). (*** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01). Reproduced with permission [<a href="#B108-biosensors-12-00336" class="html-bibr">108</a>]. Copyright 2021, Elsevier B.V.</p>
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12 pages, 2107 KiB  
Article
Functionalization of Glucose Oxidase in Organic Solvent: Towards Direct Electrical Communication across Enzyme-Electrode Interface
by Vygailė Dudkaitė and Gintautas Bagdžiūnas
Biosensors 2022, 12(5), 335; https://doi.org/10.3390/bios12050335 - 13 May 2022
Cited by 8 | Viewed by 3307
Abstract
Enzymatic biosensors based on glucose oxidase has been proven to be one of the effective strategies for the detection of glucose and contributed to health improvements. Therefore, research and debates to date are ongoing in an attempt to find the most effective way [...] Read more.
Enzymatic biosensors based on glucose oxidase has been proven to be one of the effective strategies for the detection of glucose and contributed to health improvements. Therefore, research and debates to date are ongoing in an attempt to find the most effective way to detect this analyte using this enzyme as the recognition center. The 3rd generation biosensors using direct electron transfer (DET) type enzymes are a great way towards practical devices. In this work, we developed a simple method for the functionalization of glucose oxidase with redoxable ferrocene groups in chloroform. The enzyme retained its activity after storage in this organic solvent and after the functionalization procedures. This enzyme functionalization strategy was employed to develop the biosensing monolayer-based platforms for the detection of glucose utilizing the quasi-DET mechanism. As a result of an electrochemical regeneration of the catalytic center, the formation of harmful H2O2 is minimized during enzymatic electrocatalysis. Full article
(This article belongs to the Special Issue Electrochemistry and Spectroscopy-Based Biosensors)
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<p>Spectroscopic characterization of Fc-GOx: (<b>a</b>) CD spectra of the Fc-GOx, unaffected (initial) GOx and GOx after its exposure in CHCl<sub>3</sub> samples (c = 1 mg mL<sup>−</sup><sup>1</sup>) and (<b>b</b>) UV–Vis (c = 0.25 mg mL<sup>−</sup><sup>1</sup>); (<b>c</b>) the measured hydrodynamic diameters of Fc-GOx, initial GOx, and GOx after its exposure in CHCl<sub>3</sub> (c = 1 mg mL<sup>−</sup><sup>1</sup>). All the samples were dissolved in the PPB pH 7.0 solution.</p>
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<p>AFM analysis of the modified gold substrates: (<b>a</b>) schematic presentation of the self-assembly monolayer of Fc-GOx deposition on Au; (<b>b</b>) AFM picture of GOx/MBA/Au at dimensions of 10 × 10 μm; (<b>c</b>) AFM picture of Fc-GOx/MBA/Au at dimensions of 10 × 10 μm; (<b>d</b>) AFM picture of Fc-GOx/MBA/Au at dimensions of 200 × 200 nm; (<b>e</b>) AFM picture of the surface of bare Au at dimensions of 200 × 200 nm; (<b>f</b>) grain diameters distributions on the Fc-GOx/MBA/Au surface at dimensions of 200 × 200 nm.</p>
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<p>Electrochemical analysis of the GOx/MBA/Au and Fc-GOx/MBA/Au electrodes: (<b>a</b>) cyclic voltametric (CV) analysis of these electrodes in PPB pH 7.0 at 20 mV s<sup>−</sup><sup>1</sup> (inset: CV of FcCHO in acetonitrile with Et<sub>4</sub>NBF<sub>4</sub> as a supporting electrolyte); (<b>b</b>) CVs of Fc-GOx/MBA/Au under varying glucose concentration presence atmospheric oxygen; (<b>c</b>) CVs of Fc-GOx/MBA/Au in PPB without oxygen; (<b>d</b>) CVs of GOx/MBA/Au under varying glucose concentration presence atmospheric oxygen; (<b>e</b>) CVs of GOx/MBA/Au without oxygen; (<b>f</b>) CVs of MBA/Au under varying glucose concentration; (<b>g</b>) current densities responses on the concentrations of glucose at 0.3 V vs. Ag/AgCl; (<b>h</b>) the magnified responses from 0 to 0.5 mM of glucose; (<b>i</b>) Lineweaver–Burk linearity test of all these responses.</p>
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<p>Schematic drawing of glucose oxidation and hole hopping into Fc-functionalized GOx and the electrical communication between the cofactor and the Au surface.</p>
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14 pages, 2825 KiB  
Article
Field-Effect Capacitors Decorated with Ligand-Stabilized Gold Nanoparticles: Modeling and Experiments
by Arshak Poghossian, Tobias Karschuck, Patrick Wagner and Michael J. Schöning
Biosensors 2022, 12(5), 334; https://doi.org/10.3390/bios12050334 - 13 May 2022
Cited by 4 | Viewed by 2533
Abstract
Nanoparticles are recognized as highly attractive tunable materials for designing field-effect biosensors with enhanced performance. In this work, we present a theoretical model for electrolyte-insulator-semiconductor capacitors (EISCAP) decorated with ligand-stabilized charged gold nanoparticles. The charged AuNPs are taken into account as additional, nanometer-sized [...] Read more.
Nanoparticles are recognized as highly attractive tunable materials for designing field-effect biosensors with enhanced performance. In this work, we present a theoretical model for electrolyte-insulator-semiconductor capacitors (EISCAP) decorated with ligand-stabilized charged gold nanoparticles. The charged AuNPs are taken into account as additional, nanometer-sized local gates. The capacitance-voltage (CV) curves and constant-capacitance (ConCap) signals of the AuNP-decorated EISCAPs have been simulated. The impact of the AuNP coverage on the shift of the CV curves and the ConCap signals was also studied experimentally on Al–p-Si–SiO2 EISCAPs decorated with positively charged aminooctanethiol-capped AuNPs. In addition, the surface of the EISCAPs, modified with AuNPs, was characterized by scanning electron microscopy for different immobilization times of the nanoparticles. Full article
(This article belongs to the Special Issue Biosensors in Nanotechnology)
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<p>Schematic structure and shape of the depletion layer in p-Si for a bare EISCAP (<b>a</b>) and an EISCAP decorated with ligand-stabilized positively charged AuNPs (<b>b</b>); (<b>c</b>) electrical equivalent circuit of an AuNP-decorated EISCAP; and (<b>d</b>) local changes in the width of the depletion layer at the gate voltage (<span class="html-italic">V</span><sub>G-NP</sub>), which is applied to the AuNP-decorated EISCAP in the ConCap mode to keep the working capacitance constant. <span class="html-italic">R</span><sub>RE</sub>: resistance of the reference electrode; <span class="html-italic">V</span><sub>G</sub>: gate voltage; <span class="html-italic">V</span><sub>AC</sub>: alternating current voltage; <span class="html-italic">C</span><sub>iNP</sub>, <span class="html-italic">C</span><sub>sNP</sub> and <span class="html-italic">C</span><sub>NP</sub>: gate-insulator, space-charge and total capacitances in an AuNP-covered region, respectively; <span class="html-italic">C</span><sub>i</sub>, <span class="html-italic">C</span><sub>s</sub> and <span class="html-italic">C</span><sub>0</sub> are the corresponding parameters for AuNP-free regions; <span class="html-italic">φ</span><sub>0</sub> and <span class="html-italic">φ</span><sub>NP</sub>: gate insulator-electrolyte interfacial potential in the AuNP-free and AuNP-covered regions.</p>
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<p>(<b>a</b>) Simulated <span class="html-italic">C</span>–<span class="html-italic">V</span> curves of a bare, p-type EISCAP and an EISCAP decorated with positively charged AuNPs with different coverages <span class="html-italic">n</span> (from 0.25 to 0.9). The dashed curves illustrate the expected course of the overall equivalent capacitance of the EISCAP in the transition region from depletion to accumulation. (<b>b</b>) Capacitance changes (at a constant gate voltage of <span class="html-italic">V</span><sub>G</sub> = 50 mV) and voltage shifts (at a constant capacitance of <span class="html-italic">C</span><sub>eq-dep</sub> = 30 nF) as a function of the AuNP coverage, evaluated from the <span class="html-italic">C</span>–<span class="html-italic">V</span> curves.</p>
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<p>Calculated ConCap signal change (Δ<span class="html-italic">V</span><sub>G-NP</sub>) of an AuNP-decorated EISCAP as a function of the AuNP coverage with <span class="html-italic">n</span> varying from 0.25 to 0.9.</p>
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<p>Representative SEM images of an EISCAP surface decorated with AOT-AuNPs with immobilization times of 0.5 h (<b>a</b>), 1 h (<b>b</b>) and 2 h (<b>c</b>).</p>
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<p>(<b>a</b>) Measured <span class="html-italic">C</span>–<span class="html-italic">V</span> curves of a bare EISCAP and an EISCAP decorated with positively charged AOT-AuNPs of different coverages <span class="html-italic">n</span> (for different times of immobilization between 0.5 and 2 h) with a zoomed graph of the depletion region. (<b>b</b>) Capacitance changes (at a constant gate voltage of −528 mV) and gate voltage shifts (at a constant capacitance of 37 nF) evaluated from the <span class="html-italic">C</span>–<span class="html-italic">V</span> curves as a function of the AuNP coverage.</p>
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<p>Dynamic ConCap signal change of the EISCAP decorated with positively charged AuNPs of different coverages <span class="html-italic">n</span>, corresponding to AuNP immobilization times of 0.5 h, 1 h and 2 h.</p>
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13 pages, 2322 KiB  
Article
A Patient-Ready Wearable Transcutaneous CO2 Sensor
by Juan Pedro Cascales, Xiaolei Li, Emmanuel Roussakis and Conor L. Evans
Biosensors 2022, 12(5), 333; https://doi.org/10.3390/bios12050333 - 13 May 2022
Cited by 17 | Viewed by 4633
Abstract
Continuously monitoring transcutaneous CO2 partial pressure is of crucial importance in the diagnosis and treatment of respiratory and cardiac diseases. Despite significant progress in the development of CO2 sensors, their implementation as portable or wearable devices for real-time monitoring remains under-explored. [...] Read more.
Continuously monitoring transcutaneous CO2 partial pressure is of crucial importance in the diagnosis and treatment of respiratory and cardiac diseases. Despite significant progress in the development of CO2 sensors, their implementation as portable or wearable devices for real-time monitoring remains under-explored. Here, we report on the creation of a wearable prototype device for transcutaneous CO2 monitoring based on quantifying the fluorescence of a highly breathable CO2-sensing film. The developed materials are based on a fluorescent pH indicator (8-hydroxy-1,3,6-pyrenetrisulfonic acid trisodium salt or HPTS) embedded into hydrophobic polymer matrices. The film’s fluorescence is highly sensitive to changes in CO2 partial pressure in the physiological range, as well as photostable and insensitive to humidity. The device and medical-grade films are based on our prior work on transcutaneous oxygen-sensing technology, which has been extensively validated clinically. Full article
(This article belongs to the Special Issue Frontiers of Wearable Biosensors for Human Health Monitoring)
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<p>(<b>a</b>) Wearable device and <math display="inline"><semantics> <mrow> <mi>C</mi> <msub> <mi>O</mi> <mn>2</mn> </msub> </mrow> </semantics></math>-sensing film for continuous transcutaneous monitoring of <math display="inline"><semantics> <mrow> <mi>p</mi> <mi>C</mi> <msub> <mi>O</mi> <mn>2</mn> </msub> </mrow> </semantics></math>. The film emission is excited via two (405 nm and 470 nm) high-intensity LED’s and sampled via a 500 nm long-pass filter and a PIN photodiode. (<b>b</b>) Optical spectra of the two different excitation LEDs and the <math display="inline"><semantics> <mrow> <mi>C</mi> <msub> <mi>O</mi> <mn>2</mn> </msub> </mrow> </semantics></math>-sensing dye emission, as shown in the inset. The addition of a 500 nm long-pass filter removes the LED emission.</p>
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<p>(<b>a</b>) Chemical structures of ion pairs and polymer matrices: (HPTS)/(CTA)<sub>3</sub>, (HPTS)/(TOA)<sub>4</sub>, poly(methyl methacrylate)(PMMA), and poly(propyl methacrylate)(PPMA). The pH sensitivity of the ion pairs arises from the highlighted functional groups. (<b>b</b>) Emission spectra of (HPTS)/(CTA)<sub>3</sub> in PPMA and (HPTS)/(TOA)<sub>4</sub> in PPMA and PMMA under CO<sub>2</sub> and N<sub>2</sub> conditions. (<b>c</b>) Excitation spectra (collected at 570nm) of (HPTS)/(CTA)<sub>3</sub> in PPMA and (HPTS)/(TOA)<sub>4</sub> in PPMA and PMMA under CO<sub>2</sub> and N<sub>2</sub> conditions. (<b>d</b>) Moisture sensitivity of (HPTS)/(TOA)<sub>4</sub> in PPMA and PMMA under CO<sub>2</sub> and N<sub>2</sub> conditions. (<b>e</b>) Photostability comparison of (HPTS)/(TOA)<sub>4</sub> in PPMA and PMMA under air condition.</p>
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<p>(<b>a</b>) Sensitivity of materials made of 240 μM or 480 μM (HPTS)/(TOA)<sub>4</sub> in PPMA with the addition of 0%, 5%, 10%, 20%, and 40% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) methanolic solution of TOAOH. (<b>b</b>) Photostability comparison of sensing films prepared from 240 μM (HPTS)/(TOA)<sub>4</sub> in PPMA containing 5%, 10%, and 20% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) TOAOH solution and 480 μM (HPTS)/(TOA)<sub>4</sub> in PPMA with 20% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) TOAOH solution under the air condition. (<b>c</b>) Moisture sensitivity of the material prepared from 240 μM (HPTS)/(TOA)<sub>4</sub> in PPMA with 10% (<span class="html-italic">v</span>/<span class="html-italic">v</span>) TOAOH solution under CO<sub>2</sub> and N<sub>2</sub> conditions.</p>
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<p>(<b>a</b>) Excitation spectra measured at 570 nm of the (HPTS)/(TOA)<sub>4</sub> in the PPMA formulation exposed to different CO<sub>2</sub> partial pressures. (<b>b</b>) Normalized <span class="html-italic">R</span> (between [0,1]) vs. CO<sub>2</sub> partial pressure of a PPMA/white coating sample, showing a delayed diffusion of CO<sub>2</sub> through the white coating (CO<sub>2</sub> → white), which disappears at temperatures over 40 °C. The fluorescence ratio <span class="html-italic">R</span> measured with the wearable is highly sensitive to changes in CO<sub>2</sub>, with our prototypes showing a delayed response with respect to the reference <math display="inline"><semantics> <mrow> <mi>C</mi> <msub> <mi>O</mi> <mn>2</mn> </msub> </mrow> </semantics></math> sensor at (<b>c</b>) T = 25 °C, attributed to CO<sub>2</sub> diffusion through the white scattering layer, vanishing when heating up to (<b>d</b>) T = 44 °C. (<b>e</b>) Normalized <span class="html-italic">R</span> vs. CO<sub>2</sub> for the wearable at different temperatures, with the delayed response vanishing at higher temperatures. (<b>f</b>) Time delay (lag) between our prototype’s signal and the reference CO<sub>2</sub> sensor as a function of temperature.</p>
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<p>(<b>a</b>) Response of the film to changes in CO<sub>2</sub>, plotted along with a reference sensor’s CO<sub>2</sub> readings. (<b>b</b>) Fit of two different calibration algorithms to the fluorescence ratio <span class="html-italic">R</span>, plotted as a function of the reference CO<sub>2</sub>. <math display="inline"><semantics> <mrow> <mi>F</mi> <mi>i</mi> <mi>t</mi> <mn>1</mn> </mrow> </semantics></math> considers a quadratic dependence on CO<sub>2</sub>, while <math display="inline"><semantics> <mrow> <mi>F</mi> <mi>i</mi> <mi>t</mi> <mn>2</mn> </mrow> </semantics></math> also considers a quadratic dependence on CO<sub>2</sub>, but with different coefficients depending on whether <span class="html-italic">R</span> (and hence, CO<sub>2</sub>) is increasing or decreasing. (<b>c</b>) Reference and estimated CO<sub>2</sub> from our prototype, obtained with both algorithms.</p>
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10 pages, 909 KiB  
Communication
Two-Dimensional Ti3C2 MXene-Based Novel Nanocomposites for Breath Sensors for Early Detection of Diabetes Mellitus
by Anna Rudie, Anna Marie Schornack, Qiang Wu, Qifeng Zhang and Danling Wang
Biosensors 2022, 12(5), 332; https://doi.org/10.3390/bios12050332 - 13 May 2022
Cited by 11 | Viewed by 3329
Abstract
The rates of diabetes throughout the world are rising rapidly, impacting nearly every country. New research is focused on better ways to monitor and treat this disease. Breath acetone levels have been defined as a biomarker for diabetes. The development of a method [...] Read more.
The rates of diabetes throughout the world are rising rapidly, impacting nearly every country. New research is focused on better ways to monitor and treat this disease. Breath acetone levels have been defined as a biomarker for diabetes. The development of a method to monitor and diagnose diabetes utilizing breath acetone levels would provide a fast, easy, and non-invasive treatment option. An ideal material for point-of-care diabetes management would need to have a high response to acetone, high acetone selectivity, low interference from humidity, and be able to operate at room temperature. Chemiresistive gas sensors are a promising method for sensing breath acetone due to their simple fabrication and easy operation. Certain semiconductor materials in chemiresistive sensors can react to acetone in the air and produce changes in resistance that can be correlated with acetone levels. While these materials have been developed and show strong responses to acetone with good selectivity, most of them must operate at high temperatures (compared to RT), causing high power consumption, unstable device operation, and complex device design. In this paper, we systematically studied a series of 2-dimensional MXene-based nanocomposites as the sensing materials in chemiresistive sensors to detect 2.86 ppm of acetone at room temperature. Most of them showed great sensitivity and selectivity for acetone. In particular, the 1D/2D CrWO/Ti3C2 nanocomposite showed the best sensing response to acetone: nine times higher sensitivity than 1D KWO nanowires. To determine the sensing selectivity, a CrWO/Ti3C2 nanocomposite-based sensor was exposed to various common vapors in human breath. The result revealed that it has excellent selectivity for acetone, and far lower responses to other vapors. All these preliminary results indicate that this material is a promising candidate for the creation of a point-of-care diabetes management device. Full article
(This article belongs to the Special Issue Nanomaterials and Nanostructure Devices for Biosensing)
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<p>SEM images of WO<sub>3</sub> and MWO.</p>
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<p>Results of the acetone (2.86 ppm) sensitivity test for various sensors. From left to right, the materials are WO<sub>3</sub>, KWO, NaWO, LiWO, K:Li (1:1), K:Li(1:2), CrWO, KWO/Ti<sub>3</sub>C<sub>2</sub> (2:1), NaWO/Ti<sub>3</sub>C<sub>2</sub> (2:1), LiWO/Ti<sub>3</sub>C<sub>2</sub> (2:1), and CrWO/Ti<sub>3</sub>C<sub>2</sub> (2:1). All sensors operated at room temperature.</p>
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<p>Selectivity data of various materials are shown. The vertical axis represents the sensitivity as defined in previous equations. The chemicals that were tested are shown on the horizontal axis.</p>
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16 pages, 3700 KiB  
Article
Electrochemical Biosensor Using Nitrogen-Doped Graphene/Au Nanoparticles/DNAzyme for Ca2+ Determination
by Zhixue Yu, Hui Wang, Yiguang Zhao, Fan Zhang, Xiangfang Tang and Benhai Xiong
Biosensors 2022, 12(5), 331; https://doi.org/10.3390/bios12050331 - 12 May 2022
Cited by 6 | Viewed by 3082
Abstract
An electrochemical biosensor for detecting Ca2+ concentration was proposed using glass carbon electrodes (GCEs) modified with nitrogen-doped graphene (NGR), gold nanoparticles (AuNPs) and DNAzyme. The resistance signal was amplified through two methods: electrochemical reduction of AuNPs on the NGR surface to increase [...] Read more.
An electrochemical biosensor for detecting Ca2+ concentration was proposed using glass carbon electrodes (GCEs) modified with nitrogen-doped graphene (NGR), gold nanoparticles (AuNPs) and DNAzyme. The resistance signal was amplified through two methods: electrochemical reduction of AuNPs on the NGR surface to increase the specific surface area of the electrode and strengthen the adsorption of DNAzyme; and increasement of the DNAzyme base sequence. The process of electrode modification was characterized by scanning electron microscopy, Raman spectroscopy, cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS). Experimental parameters’ influence, such as the deposition time of gold nanoparticles and the detection time, were assessed by electrochemical methods. The linear ranges of the electrochemical biosensor were in the range from 5 × 10−6 to 5 × 10−5 and 5 × 10−5 to 4 × 10−4 M, with a detection limit of 3.8 × 10−6 M. The concentration of Ca2+ in the serum of dairy cows was determined by the biosensor with satisfactory results, which could be potentially used to diagnose subclinical hypocalcemia. Full article
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<p>The process of GCE (<b>a</b>) functionalized with NGR (<b>b</b>), AuNPs (<b>c</b>), Sub (<b>d</b>), MCH (<b>e</b>), and DNAzyme (<b>f</b>).</p>
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<p>SEM images of bare GCE (<b>a</b>), GCE/NGR (<b>b</b>), GCE/NGR/AuNPs (<b>c</b>), GCE/NGR/AuNPs/Sub (<b>d</b>), and GCE/NGR/AuNPs/Sub-DNAzyme duplex (<b>e</b>).</p>
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<p>Raman spectrum of GCE modified with NGR, AuNPs, Sub and DNAzyme.</p>
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<p>Cyclic voltammetry curves of GCE modified with NGR, AuNPs, Sub, MCH, and DNAzyme in 5.0 mmol/L [Fe(CN)<sub>6</sub>]<sup>4</sup><sup>−/3</sup><sup>−</sup> and 0.1 mol/L KCl at 50 mV/s scanning rate.</p>
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<p>In 5 mmol/L [Fe(CN)6]<sup>4−/3−</sup> and 0.1 mol/L KCl solution, GCE modified with NGR, AuNPs, Sub, MCH, and DNAzyme obtained EIS in the frequency range from 0.1 to 10<sup>5</sup> Hz (potential = 0.2 V).</p>
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<p>The relative resistance of the GCE/NGR/AuNPs/Sub-DNAzyme duplex after incubation in different Ca<sup>2+</sup> concentrations at different times (The error bars were determined in three duplicates).</p>
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<p>The relative resistance of Sub-DNAzyme duplex structure and length to different Ca<sup>2+</sup> concentration (The error bars were determined in three duplicates).</p>
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<p>The relative resistance of GCE/NGR/AuNPs/Sub-DNAzyme duplex electrodeposition of AuNPs with different scanning cycles (2 r, 5 r, 10 r, 15 r, and 20 r) in 100 μM Ca<sup>2+</sup> solution (The error bars were determined in three duplicates).</p>
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<p>The relative resistance of GCE/NGR/AuNPs/Sub-DNAzyme duplex incubated in different 0.4 mM metal ion solutions (K<sup>+</sup>, Na<sup>+</sup>, Zn<sup>2+</sup>, Fe<sup>2+</sup>, Fe<sup>3+</sup>, Mg<sup>2+</sup>, and Cu<sup>2+</sup>) (The error bars were determined in three duplicates).</p>
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<p>(<b>a</b>) Electrochemical impedance spectroscopy of GCE/NGR/AuNPs/Sub-DNAzyme duplex at different Ca<sup>2+</sup> concentrations from 0 μM to 400 μM; (<b>b</b>) Linear relationship between relative resistance and logarithms of Ca<sup>2+</sup> concentration (The error bars were determined in three duplicates).</p>
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14 pages, 3684 KiB  
Article
A Digital Microfluidic Device Integrated with Electrochemical Impedance Spectroscopy for Cell-Based Immunoassay
by Yuqian Zhang and Yuguang Liu
Biosensors 2022, 12(5), 330; https://doi.org/10.3390/bios12050330 - 12 May 2022
Cited by 20 | Viewed by 4301
Abstract
The dynamic immune response to various diseases and therapies has been considered a promising indicator of disease status and therapeutic effectiveness. For instance, the human peripheral blood mononuclear cell (PBMC), as a major player in the immune system, is an important index to [...] Read more.
The dynamic immune response to various diseases and therapies has been considered a promising indicator of disease status and therapeutic effectiveness. For instance, the human peripheral blood mononuclear cell (PBMC), as a major player in the immune system, is an important index to indicate a patient’s immune function. Therefore, establishing a simple yet sensitive tool that can frequently assess the immune system during the course of disease and treatment is of great importance. This study introduced an integrated system that includes an electrochemical impedance spectroscope (EIS)-based biosensor in a digital microfluidic (DMF) device, to quantify the PBMC abundance with minimally trained hands. Moreover, we exploited the unique droplet manipulation feature of the DMF platform and conducted a dynamic cell capture assay, which enhanced the detection signal by 2.4-fold. This integrated system was able to detect as few as 104 PBMCs per mL, presenting suitable sensitivity to quantify PBMCs. This integrated system is easy-to-operate and sensitive, and therefore holds great potential as a powerful tool to profile immune-mediated therapeutic responses in a timely manner, which can be further evolved as a point-of-care diagnostic device to conduct near-patient tests from blood samples. Full article
(This article belongs to the Special Issue Immunosensors - Trends and Perspective)
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<p>(<b>a</b>) Overview of DMF device with integrated interdigitated electrodes (IDEs). Schematic illustration of the device showing 40 actuation electrodes on the bottom plate and 6 sets of sensing electrodes on the top plate. The sensing electrodes were connected to a multiplexer and an impedance analyzer for the detection; (<b>b</b>) Microscopic image of IDE electrodes deposited on the top plate. (<b>c</b>) Cross-section diagram of the device, with a droplet of cells on the sensing electrodes (not to scale); (<b>d</b>) A photo demonstrating the assembly of an integrated DMF device. DropBot system was used to operate the device; the impedance measurement was conducted by connecting electrical contact pads to a digital impedance analyzer.</p>
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<p>(<b>a</b>) Schematic illustrating the formation of SAM layer, EDC/NHS chemistry and antibody conjugation on the gold electrode surface. (<b>b</b>) FTIR spectrum for amide bonds, C-H alkane chain and N-H stretch.</p>
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<p>(<b>a</b>) The impedance magnitude of IDEs in DMF chip in DI water (non-faradaic regime) and the fitting curve came from Equations (1)–(3) with <span class="html-italic">C<sub>dl</sub></span> = 48 nF, <span class="html-italic">R<sub>sol</sub></span> = 33 kΩ, and <span class="html-italic">C<sub>de</sub></span> = 42 fF. (<b>b</b>) Simplified electrical modeling and (<b>c</b>) equivalent circuit representing the electrode embedded in a DMF platform when a droplet is present. (<b>d</b>) Non-faradic electrochemical impedance spectroscopy (EIS) measured on the IDE in PBS buffer with different concentrations.</p>
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<p>(<b>a</b>) 2D cross-section simulation of electric field distribution of IDEs at (i) 15 μm; (ii) 30 μm; (iii) 50 μm; (<b>b</b>) Electric field intensity at 1 μm below the electrode surface (corresponding to red dotted lines in (<b>a</b>)); (<b>c</b>) Experimental analysis of the impedance measurement performance in terms of the dimension of the IDEs, with error bars denoting standard deviation of n = 3.</p>
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<p>Photos of (<b>a</b>) Droplet incubation in the stationary model; (<b>b</b>) Impedance changes of CD-45 antibody against PBS buffer (no cell present, blank control), IL-6 antibody against PBMCs (negative control), and CD-45 antibody against PBMCs (target). The concentrations of the cell suspensions were 10<sup>6</sup> per mL. (<b>c</b>) a droplet trajectory in the dynamic incubation mode (1 cycle); (colored fluid was used for better visualization); (<b>d</b>) The relationships between the concentration of PBMCs and the corresponding impedance changes of the integrated EIS sensor in stationary and dynamic modes. The error bars represent the standard deviation of n = 5.</p>
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