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Biosensors
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Molecularly Imprinted Polymer Based Biosensors for Environmental, Agricultural and Food...
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Molecularly Imprinted Polymer Based Biosensors for Environmental, Agricultural and Food Safety Applications

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 1276

Special Issue Editors

Dr. Tai Ye

E-Mail Website
Guest Editor
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Interests: biosensors; nucleic acid nanotechnology; molecular imprinting technology; food safety and rapid detection
Dr. Qianjin Li

E-Mail Website
Guest Editor
School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China
Interests: biosensors; food safety; rapid detection
Dr. Guohua Zhou

E-Mail Website
Guest Editor
School of Chemistry and Chemical Engineering, Lingnan Normal University, Zhanjiang 524048, China
Interests: optical sensors; nanomaterials; food safety; biosensors

Special Issue Information

Dear Colleagues,

Molecular imprinted polymers (MIPs) as artificial receptors to mimic the specific binding manner of antibodies and enzymes have attracted much attention. The features of MIPs, including predicable recognition cavity, excellent chemical stability, simple synthesis, and low cost, enabled their high-performance recognition of various kinds of targets, ranging from metal ions, small molecules, biomacromolecules, and even entire cells. To implement the quantitative analysis of these biomarkers is of great importance in the fields of Environment, Agriculture, and Food Safety. By endowing MIPs with unique optical and electrical characteristics, the binding event can be transduced into a detectable output signal. As-prepared MIP-based biosensors with highly sensitive, rapid, and selective sensing performance have become a hot topic in recent years.

In this regard, this Special Issue aims to gather both original research papers as well as reviews on the aspect of MIP-based biosensors. This includes the design and synthesis of functional MIPs, environmental analysis, and food rapid detection. Theoretical calculation and computer simulation related to the binding mechanism of MIPs is also encouraged. The development of lab-on-a-chip devices, wearable and portable/handheld MIP-based biosensors for rapid analysis in non-laboratory settings, and MIP-based bioimaging systems are of special interest. Reviews should provide an in-depth analysis of the most recent research in a specific context or discuss the current and future issues related to MIPs in the biosensing field.

Dr. Tai Ye
Dr. Qianjin Li
Dr. Guohua Zhou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biosensors is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • molecular imprinted polymers
  • optical sensors
  • nanomaterials
  • food safety
  • environmental pollution
  • biomimetic assay
  • catalytic receptor
  • electropolymerized molecularly imprinted polymer
  • paper-based analytical devices

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Published Papers (1 paper)

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Research

12 pages, 3242 KiB  
Article
Electrochemical Impedance Spectroscopy-Based Microfluidic Biosensor Using Cell-Imprinted Polymers for Bacteria Detection
by Shiva Akhtarian, Satinder Kaur Brar and Pouya Rezai
Biosensors 2024, 14(9), 445; https://doi.org/10.3390/bios14090445 - 18 Sep 2024
Viewed by 896
Abstract
The rapid and sensitive detection of bacterial contaminants using low-cost and portable point-of-need (PoN) biosensors has gained significant interest in water quality monitoring. Cell-imprinted polymers (CIPs) are emerging as effective and inexpensive materials for bacterial detection as they provide specific binding sites designed [...] Read more.
The rapid and sensitive detection of bacterial contaminants using low-cost and portable point-of-need (PoN) biosensors has gained significant interest in water quality monitoring. Cell-imprinted polymers (CIPs) are emerging as effective and inexpensive materials for bacterial detection as they provide specific binding sites designed to capture whole bacterial cells, especially when integrated into PoN microfluidic devices. However, improving the sensitivity and detection limits of these sensors remains challenging. In this study, we integrated CIP-functionalized stainless steel microwires (CIP-MWs) into a microfluidic device for the impedimetric detection of E. coli bacteria. The sensor featured two parallel microchannels with three-electrode configurations that allowed simultaneous control and electrochemical impedance spectroscopy (EIS) measurements. A CIP-MW and a non-imprinted polymer (NIP)-MW suspended perpendicular to the microchannels served as the working electrodes in the test and control channels, respectively. Electrochemical spectra were fitted with equivalent electrical circuits, and the charge transfer resistances of both cells were measured before and after incubation with target bacteria. The charge transfer resistance of the CIP-MWs after 30 min of incubation with bacteria was increased. By normalizing the change in charge transfer resistance and analyzing the dose–response curve for bacterial concentrations ranging from 0 to 107 CFU/mL, we determined the limits of detection and quantification as 2 × 102 CFU/mL and 1.4 × 104 CFU/mL, respectively. The sensor demonstrated a dynamic range of 102 to 107 CFU/mL, where bacterial counts were statistically distinguishable. The proposed sensor offers a sensitive, cost-effective, durable, and rapid solution for on-site identification of waterborne pathogens. Full article
(This article belongs to the Special Issue Molecularly Imprinted Polymer Based Biosensors for Environmental, Agricultural and Food Safety Applications)
►▼ Show Figures

Figure 1

Figure 1
<p>Impedimetric microfluidic bacteria sensor design and fabrication. (<b>A</b>) Upper and lower PDMS layers with integrated MWs. (<b>B</b>) Final microfluidic device post-plasma bonding of PDMS layers onto a glass slide. (<b>C</b>) Schematic of the sensor design illustrating flow directions and concurrent test and control measurement microchannels with CIP-MW and NIP-MW WEs, respectively. For REs and CEs, Ag-MWs and SS-MWs were used, respectively.</p> Full article ">Figure 2
<p>Experimental setup used to test the impedimetric microfluidic bacteria sensor.</p> Full article ">Figure 3
<p>Electrochemical impedance spectroscopy (EIS) measurements and equivalent electrical circuits of the microfluidic sensor with CIP-MWs as the working electrode (WE) in the presence of K<sub>3</sub>[Fe(CN)<sub>6</sub>]/K<sub>4</sub>[Fe(CN)<sub>6</sub>] as the redox probe. (<b>A</b>) Standard Randles circuit diagram fit. (<b>B</b>) Modified Randles circuit diagram fit. Insets show the goodness of fit values. The blue lines represent the experimental data, while the red lines correspond to the fitted curves from the circuit models.</p> Full article ">Figure 4
<p>Electrochemical impedance spectroscopy (EIS) curves of microfluidic devices in 0.1 M KCl containing 5 mM K<sub>3</sub>[Fe(CN)<sub>6</sub>] with NIP-MWs and CIP-MWs serving as working electrodes. Minus and plus signs in the legend denote measurements obtained pre-and post-bacteria incubation, respectively. The inset shows an enlarged view of the NIP-MW (− and +) and CIP-MW data.</p> Full article ">Figure 5
<p>Charge transfer resistance (R<sub>CT</sub>) values for microfluidic devices in 0.1 M KCl containing 5 mM K<sub>3</sub>[Fe(CN)<sub>6</sub>] with NIP-MWs and CIP-MWs serving as working electrodes. (<b>A</b>) R<sub>CT</sub> values obtained before normalization and (<b>B</b>) normalized R<sub>CT</sub> change values. The minus and plus signs in the x axis indicate pre-and post-bacteria incubation measurements, respectively. The error bars are standard deviations (SD). *: <span class="html-italic">p</span>-value &lt; 0.05; ***: <span class="html-italic">p</span>-value &lt; 0.001.</p> Full article ">Figure 6
<p>EIS-based microfluidic bacteria sensor characterization. (<b>A</b>) Normalized post-incubation charge transfer resistance shift of the microfluidic sensor with CIP-MWs and parallel control experiments utilizing NIP-MWs, when exposed to different bacteria counts. (<b>B</b>) The dose–response ΔR/R<sub>CT,1</sub> curve established for the CIP-MW-based sensor. Error bars are standard deviations (SD). ns: non-significant; *: <span class="html-italic">p</span>-value &lt; 0.05; **: <span class="html-italic">p</span>-value &lt; 0.01; ***: <span class="html-italic">p</span>-value &lt; 0.001.</p> Full article ">
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