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Search Results (2,297)

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Keywords = electrical impedance

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10 pages, 244 KiB  
Article
Geometric Algebra Framework Applied to Single-Phase Linear Circuits with Nonsinusoidal Voltages and Currents
by Jan L. Cieśliński and Cezary J. Walczyk
Electronics 2024, 13(19), 3926; https://doi.org/10.3390/electronics13193926 - 4 Oct 2024
Viewed by 269
Abstract
We apply a well known technique of theoretical physics, known as geometric algebra or Clifford algebra, to linear electrical circuits with nonsinusoidal voltages and currents. We rederive from the first principles the geometric algebra approach to the apparent power decomposition. The important new [...] Read more.
We apply a well known technique of theoretical physics, known as geometric algebra or Clifford algebra, to linear electrical circuits with nonsinusoidal voltages and currents. We rederive from the first principles the geometric algebra approach to the apparent power decomposition. The important new point consists of endowing the space of Fourier harmonics with a structure of a geometric algebra (it is enough to define the Clifford product of two periodic functions). We construct a set of commuting invariant imaginary units which are used to define impedance and admittance for any frequency. Full article
(This article belongs to the Special Issue Advances in RF, Analog, and Mixed Signal Circuits)
20 pages, 6492 KiB  
Article
Significantly Enhanced Corona Resistance of Epoxy Composite by Incorporation with Functionalized Graphene Oxide
by Yue Yang, Yumin Wang, Chunqing He, Zheng Wang, Xiangyang Peng and Pengfei Fang
Materials 2024, 17(19), 4864; https://doi.org/10.3390/ma17194864 - 2 Oct 2024
Viewed by 393
Abstract
Enhancing the corona resistance of epoxy resin (EP) is crucial for ensuring the reliable operation of electrical equipment and power systems, and the incorporation of inorganic nanofillers into epoxy resin has shown significant potential in achieving this. In this study, functionalized graphene oxide [...] Read more.
Enhancing the corona resistance of epoxy resin (EP) is crucial for ensuring the reliable operation of electrical equipment and power systems, and the incorporation of inorganic nanofillers into epoxy resin has shown significant potential in achieving this. In this study, functionalized graphene oxide (KHGO) was synthesized via a sol-gel method to enhance the corona resistance of EP with electrochemical impedance spectroscopy (EIS) used to assess the properties of KHGO/EP composites. Fourier transform infrared spectroscopy (FTIR) and X-ray photoelectron spectroscopy (XPS) verified the successful grafting of epoxy groups onto the GO surface. The thermal conductivity and stability of the KHGO/EP composite initially increased with KHGO content but declined when the content exceeded 1.2 wt.%. Positron annihilation lifetime spectroscopy (PALS) indicated that KHGO improved interfacial compatibility with EP compared to GO, with agglomeration occurring when KHGO content exceeded a threshold value (1.2 wt.%). EIS analysis revealed that the corona resistance of the KHGO/EP composite was optimal at a filler content of 0.9 wt.%. After corona treatment, the saturation water uptake of the 0.9 wt.% KHGO/EP composite decreased by 15% compared to pure EP with its porosity reduced to just 1/40th of that of pure EP. This study underscores that well-dispersed KHGO/EP composite exhibits excellent corona resistance property suggesting the potential for industrial applications in high-voltage equipment insulation. Full article
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<p>XRD spectra (<b>a</b>) and FTIR spectra (<b>b</b>) of GO and KHGO.</p>
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<p>High-resolution XPS spectra of C 1s in GO (<b>a</b>) and KHGO (<b>b</b>).</p>
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<p>SEM image (<b>a</b>) and TEM image (<b>b</b>) of GO; elemental distribution on the surface of GO (<b>c</b>–<b>f</b>).</p>
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<p>AFM image of KHGO and thickness distribution along the white line.</p>
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<p>Thermal conductivity of GO/EP composites and KHGO/EP composites with different filler content.</p>
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<p>TG curves of GO/EP composites (<b>a</b>) and KHGO/EP composites (<b>b</b>) with different filler content from 30 °C to 300 °C.</p>
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<p>The temperature in TG tests when the weight loss of GO/EP composite (<b>a</b>) and KHGO/EP composites (<b>b</b>) reach 5 wt.%, 10 wt.% and 15 wt.%.</p>
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<p>Current through GO/EP composites (<b>a</b>) and KHGO/EP composites (<b>b</b>) as a function of applied voltage.</p>
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<p>Volume electrical conductivity of GO/EP composites and KHGO/EP composites with different filler content.</p>
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<p>The <span class="html-italic">o</span>-Ps lifetime and average size of the free-volume holes of GO/EP composites and KHGO/EP composites (<b>a</b>); intensity of <span class="html-italic">o</span>-Ps lifetime (<b>b</b>).</p>
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<p>Equivalent circuits in this article (<b>a</b>); impedance diagrams (Bode plots) of 0.3 wt.% KHGO/EP composites treated with corona discharge after immersion for different times (<b>b</b>).</p>
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<p>Impedance diagrams (Bode plots) of 0.6 wt.% (<b>a</b>) and 0.9 wt.% (<b>b</b>) KHGO/EP composites treated with corona discharge after immersion for different time.</p>
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<p>Impedance diagrams (Bode plots) of 1.2 wt.% (<b>a</b>) and 1.5 wt.% (<b>b</b>) KHGO/EP composites treated with corona discharge after immersion for different times.</p>
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<p>Variation of <span class="html-italic">C</span><sub>b</sub> of corona-treated KHGO/EP composites with different filler content as a function of immersion time (<b>a</b>); water uptake of KHGO/EP composites after immersion for 72 h as a function of filler content (<b>b</b>).</p>
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<p>Variation of <span class="html-italic">R</span><sub>b</sub> of corona-treated KHGO/EP composites with different filler content as a function of immersion time (<b>a</b>); porosity of KHGO/EP composites after immersion for 72 h as a function of filler content (<b>b</b>).</p>
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<p>Log(<span class="html-italic">C</span><sub>t</sub>) as a function of h<sup>0.5</sup> of KHGO/EP composites with different filler content at the initial immersion period (<b>a</b>); diffusion coefficient as a function of filler content (<b>b</b>).</p>
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16 pages, 4164 KiB  
Article
Sea Bass (Dicentrarchus labrax) Tail-Beat Frequency Measurement Using Implanted Bioimpedance Sensing
by Vincent Kerzerho, Mohamed-Moez Belhaj, Serge Bernard, Sylvain Bonhommeau, Tristan Rouyer, Fabien Soulier and David J. McKenzie
Fishes 2024, 9(10), 399; https://doi.org/10.3390/fishes9100399 - 1 Oct 2024
Viewed by 399
Abstract
Estimating tailbeat frequency (TBF) is a crucial component of fish swimming kinematics and performance, particularly because it provides information about energetics and behavioral responses to environmental cues. The most commonly used technique for TBF estimation is based on accelerometers. This paper proposes a [...] Read more.
Estimating tailbeat frequency (TBF) is a crucial component of fish swimming kinematics and performance, particularly because it provides information about energetics and behavioral responses to environmental cues. The most commonly used technique for TBF estimation is based on accelerometers. This paper proposes a novel approach using bioimpedance technology. This is the first time bioimpedance has been measured in a freely moving animal. This was made possible by implanting a flexible electrode in the back muscle of seabasses and having them in a swimming tunnel. The experiment first demonstrates that it is possible to measure bioimpedance in an immersed fish despite the high conductivity of seawater. An agreement analysis was then performed to compare a video-based reference measurement of TBF with the newly proposed approach. Several bioimpedance settings, such as the configuration and the extracted electrical parameters, were considered. Data analysis highlights that a 4-point setup for modulus impedance measurement at frequencies over 10 kHz provides the best agreement (r > 0.98 and CCC > 0.97) with the video-based approach. These results attest to the significant benefits of integrating bioimpedance sensors in biologgers, especially considering the complementary parameters that can be extracted from bioimpedance measurements, such as length, weight, condition index, and fat content. Full article
(This article belongs to the Special Issue Technology for Fish and Fishery Monitoring)
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<p>4-point and 2-point bioimpedance measurement set-ups.</p>
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<p>(<b>A</b>) The flexible biocompatible 4-contact electrode for bioimpedance measurement; (<b>B</b>) Fish after surgery for implantation of the electrode; (<b>C</b>) post-surgery fish recovery in the Steffensen-type swim tunnel.</p>
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<p>Sequential timing description of one bioimpedance measurement series.</p>
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<p>(<b>A</b>) stride length (<math display="inline"><semantics> <mi>bl</mi> </semantics></math>) versus water speed (<math display="inline"><semantics> <mi>bl</mi> </semantics></math>/<math display="inline"><semantics> <mi mathvariant="normal">s</mi> </semantics></math>), (<b>B</b>) video-based estimation of TBF (<math display="inline"><semantics> <mi>Hz</mi> </semantics></math>) versus water speed (<math display="inline"><semantics> <mi>bl</mi> </semantics></math>/<math display="inline"><semantics> <mi mathvariant="normal">s</mi> </semantics></math>) at 5 water speeds.</p>
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<p>Plotter graph example: variation of the modulus of the bioimpedance over the 16 <math display="inline"><semantics> <mi mathvariant="normal">s</mi> </semantics></math> measurement for two fishes. The water speed is 1.25 bl/s, the bioimpedance measurement setup is 4 pts, and the bioimpedance frequency measurement is 1 <math display="inline"><semantics> <mi mathvariant="normal">k</mi> </semantics></math><math display="inline"><semantics> <mi>Hz</mi> </semantics></math>.</p>
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<p>Water speed versus bioimpedance-based TBF estimation for fish 2 (<b>a</b>) 4 pts modulus of bioimpedance for frequency estimation; (<b>b</b>) 4 pts angle of bioimpedance for frequency estimation; (<b>c</b>) 2 pts modulus of bioimpedance for frequency estimation, (<b>d</b>) 2 pts angle of bioimpedance for frequency estimation.</p>
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<p><span class="html-italic">t</span>-test <span class="html-italic">p</span>-value for the 4 pts and 2 pts setups and eight combinations of electrical parameters.</p>
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<p><span class="html-italic">t</span>-test <span class="html-italic">p</span>-value for the 4 pts setup, two electrical parameters, and six bioimpedance frequencies.</p>
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15 pages, 1101 KiB  
Article
Modular and Portable System Design for 3D Imaging of Breast Tumors Using Electrical Impedance Tomography
by Juan Carlos Gómez Cortés, José Javier Diaz Carmona, Alejandro Israel Barranco Gutiérrez, José Alfredo Padilla Medina, Adán Antonio Alonso Ramírez, Joel Artemio Morales Viscaya, J. Jesús Villegas-Saucillo and Juan Prado Olivarez
Sensors 2024, 24(19), 6370; https://doi.org/10.3390/s24196370 - 30 Sep 2024
Viewed by 575
Abstract
This paper presents a prototype of a portable and modular electrical impedance tomography (EIT) system for breast tumor detection. The proposed system uses MATLAB to generate three-dimensional representations of breast tissue. The modular architecture of the system allows for flexible customization and scalability. [...] Read more.
This paper presents a prototype of a portable and modular electrical impedance tomography (EIT) system for breast tumor detection. The proposed system uses MATLAB to generate three-dimensional representations of breast tissue. The modular architecture of the system allows for flexible customization and scalability. It consists of several interconnected modules. Each module can be easily replaced or upgraded, facilitating system maintenance and future enhancements. Testing of the prototype has shown promising results in preliminary screening based on experimental studies. Agar models were used for the experimental stage of this project. The 3D representations provide clinicians with valuable information for accurate diagnosis and treatment planning. Further research and refinement of the system is warranted to validate its performance in future clinical trials. Full article
(This article belongs to the Section Biomedical Sensors)
25 pages, 3167 KiB  
Review
Microfluidic-Based Electrical Operation and Measurement Methods in Single-Cell Analysis
by Xing Liu and Xiaolin Zheng
Sensors 2024, 24(19), 6359; https://doi.org/10.3390/s24196359 - 30 Sep 2024
Viewed by 293
Abstract
Cellular heterogeneity plays a significant role in understanding biological processes, such as cell cycle and disease progression. Microfluidics has emerged as a versatile tool for manipulating single cells and analyzing their heterogeneity with the merits of precise fluid control, small sample consumption, easy [...] Read more.
Cellular heterogeneity plays a significant role in understanding biological processes, such as cell cycle and disease progression. Microfluidics has emerged as a versatile tool for manipulating single cells and analyzing their heterogeneity with the merits of precise fluid control, small sample consumption, easy integration, and high throughput. Specifically, integrating microfluidics with electrical techniques provides a rapid, label-free, and non-invasive way to investigate cellular heterogeneity at the single-cell level. Here, we review the recent development of microfluidic-based electrical strategies for single-cell manipulation and analysis, including dielectrophoresis- and electroporation-based single-cell manipulation, impedance- and AC electrokinetic-based methods, and electrochemical-based single-cell detection methods. Finally, the challenges and future perspectives of the microfluidic-based electrical techniques for single-cell analysis are proposed. Full article
(This article belongs to the Special Issue Integration and Application of Microfluidic Sensors)
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<p>(<b>a</b>) Schematic illustration of the nDEP and pDEP. (<b>b</b>) Brightfield image of a bipolar electrode-based microfluidic platform for single-cell capture. Reprinted with permission from ref. [<a href="#B28-sensors-24-06359" class="html-bibr">28</a>]. Copyright 2019, The Royal Society of Chemistry. (<b>c</b>) Schematic illustrations of the interdigitated electrode-based microarray for single-cell capture. Reprinted with permission from ref. [<a href="#B35-sensors-24-06359" class="html-bibr">35</a>]. Copyright 2020, The American Chemical Society. (<b>d</b>) Schematic illustration and the simulation of the electric field distribution of the DEP-based microarray. Reprinted with permission from ref. [<a href="#B37-sensors-24-06359" class="html-bibr">37</a>]. Copyright 2022, The Royal Society of Chemistry. (<b>e</b>) Schematic illustration of the three-dimensional DEP-based microarray for selective single-cell capture and release. Reprinted from ref. [<a href="#B50-sensors-24-06359" class="html-bibr">50</a>]. Copyright 2021, The Japan Society for Analytical Chemistry. (<b>f</b>) Scanning electron microscopy image of the integration of a dynamic trap with the electrodes for single-cell capture. Reprinted from ref. [<a href="#B32-sensors-24-06359" class="html-bibr">32</a>].</p>
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<p>(<b>a</b>) Scanning electron microscopy image of triangular coplanar electrodes with nanotips. Reprinted with permission from ref. [<a href="#B55-sensors-24-06359" class="html-bibr">55</a>]. Copyright 2020, The Royal Society of Chemistry. (<b>b</b>) Schematic illustrations of the sextupole-electrode unit. Reprinted with permission from ref. [<a href="#B56-sensors-24-06359" class="html-bibr">56</a>]. Copyright 2020, Zizhong Zhang et al. (<b>c</b>) Scanning electron microscopy images of pyramid pit micropore array chip. Reprinted with permission from ref. [<a href="#B57-sensors-24-06359" class="html-bibr">57</a>]. Copyright 2020, Zaizai Dong et al. (<b>d</b>) Schematic illustration of hydrodynamic microarray-based electroporation platform. Reprinted with permission from ref. [<a href="#B58-sensors-24-06359" class="html-bibr">58</a>]. Copyright 2022, Elsevier. (<b>e</b>) Schematic illustrations of the constriction channel-based electroporation platform. Reprinted from ref. [<a href="#B59-sensors-24-06359" class="html-bibr">59</a>].</p>
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<p>(<b>a</b>) Schematic illustration of facing electrode-based impedance measurement system. Reprinted with permission from ref. [<a href="#B104-sensors-24-06359" class="html-bibr">104</a>]. Copyright 2020, The Royal Society of Chemistry. (<b>b</b>) Schematic illustrations of a five-pair facing electrode system. Reprinted with permission from ref. [<a href="#B74-sensors-24-06359" class="html-bibr">74</a>]. Copyright 2019, Elsevier. (<b>c</b>) N-shaped coplanar electrode system. Reprinted with permission from ref. [<a href="#B109-sensors-24-06359" class="html-bibr">109</a>]. Copyright 2019, The Royal Society of Chemistry. (<b>d</b>) Schematic illustration of hydrodynamic microarray-based electroporation platform. Reprinted with permission from ref. [<a href="#B105-sensors-24-06359" class="html-bibr">105</a>]. Copyright 2019, The Royal Society of Chemistry. (<b>e</b>) Schematic illustration of the combination of EIS and IFC for impedance measurements. Reprinted from ref. [<a href="#B84-sensors-24-06359" class="html-bibr">84</a>]. Copyright 2019, The American Chemical Society.</p>
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<p>(<b>a</b>) Schematic illustration and microscopy image of 3D pillar electrode array for electrorotation measurement. Reprinted with permission from ref. [<a href="#B97-sensors-24-06359" class="html-bibr">97</a>]. Copyright 2019, John Wiley and Sons. (<b>b</b>) Schematic illustrations of 3D electrode grid array. Reprinted with permission from ref. [<a href="#B98-sensors-24-06359" class="html-bibr">98</a>]. Copyright 2020, The Royal Society of Chemistry.</p>
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<p>(<b>a</b>) Schematic illustration of the bifunctional probe for detection of cytoplasmic dopamine. Reprinted with permission from refs. [<a href="#B126-sensors-24-06359" class="html-bibr">126</a>]. Copyright 2021, Elsevier. (<b>b</b>) Schematic illustration of the push-pull microfluidic probe for the single-cell detection of lactate. (i–iii) Sample collection and reactions in the detection process. Reprinted with permission from refs. [<a href="#B127-sensors-24-06359" class="html-bibr">127</a>]. Copyright 2021, The American Chemical Society. (<b>c</b>) Schematic illustration of the hydrodynamic-based ECL microarray for the detection of dopamine at single-cell level. Reprinted with permission from refs. [<a href="#B17-sensors-24-06359" class="html-bibr">17</a>]. Copyright 2022, Elsevier.</p>
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<p>Applications, strengths and weaknesses, and the future of on-chip single-cell electrical manipulation and analysis.</p>
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22 pages, 4902 KiB  
Review
A Review of Microstrip Patch Antenna-Based Passive Sensors
by Zain Ul Islam, Amine Bermak and Bo Wang
Sensors 2024, 24(19), 6355; https://doi.org/10.3390/s24196355 - 30 Sep 2024
Viewed by 488
Abstract
This paper briefly overviews and discusses the existing techniques using antennas for passive sensing, starting from the antenna operating principle and antenna structural design to different antenna-based sensing mechanisms. The effects of different electrical properties of the material used to design an antenna, [...] Read more.
This paper briefly overviews and discusses the existing techniques using antennas for passive sensing, starting from the antenna operating principle and antenna structural design to different antenna-based sensing mechanisms. The effects of different electrical properties of the material used to design an antenna, such as conductivity, loss tangent, and resistivity, are discussed to illustrate the fundamental sensing mechanisms. Furthermore, the key parameters, such as operating frequency and antenna impedance, along with the factors affecting the sensing performance, are discussed. Overall, passive sensing using an antenna is mainly achieved by altering the reflected wave characteristics in terms of center frequency, return loss, phase, and received/reflected signal strength. The advantages and drawbacks of each technique are also discussed briefly. Given the increasing relevance, millimeter-wave antenna sensors and resonator sensors are also discussed with their applications and recent advancements. This paper primarily focuses on microstrip-based radiating structures and insights for further sensing performance improvement using passive antennas, which are outlined in this study. In addition, suggestions are made for the current scientific and technical challenges, and future directions are discussed. Full article
(This article belongs to the Special Issue Feature Review Papers in Physical Sensors)
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<p>Illustration of an antenna-based sensing system.</p>
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<p>Microstrip patch antenna: (<b>a</b>) perspective view, (<b>b</b>) top view, and (<b>c</b>) side view [<a href="#B45-sensors-24-06355" class="html-bibr">45</a>].</p>
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<p>Illustration of antenna-based sensing mechanism.</p>
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<p>(<b>a</b>) Sensing based on frequency shift with respect to salinity level and temperature, (<b>b</b>) fabricated prototype and experimental set up [<a href="#B17-sensors-24-06355" class="html-bibr">17</a>].</p>
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<p>(<b>a</b>) Measured sugar concentration sensing based on Return Loss variation, (<b>b</b>) experimental setup [<a href="#B19-sensors-24-06355" class="html-bibr">19</a>].</p>
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<p>Sensing based on phase variation [<a href="#B77-sensors-24-06355" class="html-bibr">77</a>].</p>
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<p>(<b>a</b>) Measured frequency shift and return loss variation response for glucose concentration sensing (<b>b</b>) experimental setup [<a href="#B14-sensors-24-06355" class="html-bibr">14</a>].</p>
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<p>RSSI-based sensing mechanism [<a href="#B86-sensors-24-06355" class="html-bibr">86</a>].</p>
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<p>RSSI-based sensing mechanism (<b>a</b>) measured frequency response (<b>b</b>) experimental setup [<a href="#B23-sensors-24-06355" class="html-bibr">23</a>].</p>
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14 pages, 357 KiB  
Article
The Effects of the LiiNK Intervention on Physical Activity and Obesity Rates among Children
by David Farbo, Yan Zhang, Robyn Braun-Trocchio and Deborah J. Rhea
Int. J. Environ. Res. Public Health 2024, 21(10), 1304; https://doi.org/10.3390/ijerph21101304 - 30 Sep 2024
Viewed by 734
Abstract
Background: Obesity and inactivity among children are at an all-time high and have been steadily increasing in prevalence over the last thirty years. The school environment provides the ideal setting for reaching a large number of children across diverse populations in order to [...] Read more.
Background: Obesity and inactivity among children are at an all-time high and have been steadily increasing in prevalence over the last thirty years. The school environment provides the ideal setting for reaching a large number of children across diverse populations in order to reverse these trends. However, there are many inconsistent results yielded by school-based physical activity interventions due to implementation length, time for activities, and the use of structured physical activities. The LiiNK Project® is a whole-child intervention addressing these gaps by providing children 45–60 min of recess (unstructured, outdoor play) in their schools daily, while the control children are allowed to engage in recess for 30 min daily. The purpose of this study was to compare the physical activity intensity and obesity rates of third- and fourth-grade children participating in the LiiNK intervention, which provides 60 min of recess for third graders and 45 min for fourth graders, to those in a control group allowed 30 min of daily recess. Methods: The children were 8–10 years old (M = 9.2; 52% females and 48% males). The intervention children comprised 90 third graders and 100 fourth graders, and the control children comprised 101 third graders and 92 fourth graders. Physical activity levels were monitored using accelerometers to assess sedentary, light, and moderate-to-vigorous physical activity (MVPA). Obesity rates were evaluated using bio-electrical impedance analysis (BIA), in which body fat percentage is calculated based on normative values using age and sex in the equation. Results: The third-grade intervention children engaged in 13 more MVPA minutes and took 900 more steps daily than their control counterparts, and also presented a greater proportion of overweight children transitioning to a healthy weight status from the fall to the spring semester. Conversely, the fourth-grade control children increased their activity by 500 steps and 15 more MVPA minutes daily. Despite this, the intervention children overall demonstrated a reduction in body fat percentage, while the control children demonstrated an increase in body fat percentage. Conclusions: Ultimately, 60 min of unstructured, outdoor play in schools provides children the best opportunity to engage in MVPA, which may positively impact body fat percentages, offering a potential strategy for combatting childhood obesity in school settings. Full article
(This article belongs to the Special Issue Health Behavior and Health Promotion in Children and Adolescents)
10 pages, 1381 KiB  
Article
Effect of Oral Zinc Supplementation on Phase Angle and Bioelectrical Impedance Vector Analysis in Duchenne Muscular Dystrophy: A Non-Randomized Clinical Trial
by Karina Marques Vermeulen-Serpa, Márcia Marilia Gomes Dantas Lopes, Camila Xavier Alves, Evellyn Camara Grilo, Thais Alves Cunha, Carolinne Thaisa de Oliveira Fernandes Miranda, Breno Gustavo Porfirio Bezerra, Lucia Leite-Lais, José Brandão-Neto and Sancha Helena de Lima Vale
Nutrients 2024, 16(19), 3299; https://doi.org/10.3390/nu16193299 - 29 Sep 2024
Viewed by 364
Abstract
Zinc plays a crucial role in cell structure and functionality. Neurodegenerative Duchenne muscular dystrophy (DMD) alters muscle membrane structure, leading to a loss of muscle mass and strength. The objective of this study was to evaluate the changes in phase angle (PA) and [...] Read more.
Zinc plays a crucial role in cell structure and functionality. Neurodegenerative Duchenne muscular dystrophy (DMD) alters muscle membrane structure, leading to a loss of muscle mass and strength. The objective of this study was to evaluate the changes in phase angle (PA) and bioelectrical impedance vector analysis (BIVA) results in patients with DMD after oral zinc supplementation. This clinical trial included 33 boys aged 5.6 to 24.5 years diagnosed with DMD. They were divided into three groups according to age (G1, G2, and G3) and supplemented with oral zinc. The mean serum zinc concentration was 74 μg/dL, and 29% of patients had concentrations below the reference value. The baseline values (mean (standard deviation)) of the bioelectrical impedance parameters PA, resistance (R), and reactance (Xc) were 2.59° (0.84°), 924.36 (212.31) Ω, and 39.64 (8.41) Ω, respectively. An increase in R and a decrease in PA and lean mass proportional to age were observed, along with a negative correlation (r = −0.614; p < 0.001) between age and PA. The average cell mass in G1 was greater than that in G3 (p = 0.012). There were no significant differences in serum zinc levels or bioelectrical impedance parameters before and after zinc supplementation. We conclude that this population is at risk of zinc deficiency and the proposed dosage of zinc supplementation was not sufficient to alter serum zinc levels, PA and BIVA results. Full article
(This article belongs to the Section Micronutrients and Human Health)
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<p>CONSORT flowchart for recruitment, selection, and analysis of participants.</p>
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<p>Confidence ellipses of 95% of impedance vectors measured before (T1) intervention with different groups (G1: black ellipse; G2: green ellipse; G3: purple ellipse).</p>
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<p>Confidence ellipses of 95% of impedance vectors measured before (T1: red ellipse) and after (T2: blue ellipse) oral zinc supplementation in DMD patients. The upward or downward displacement of the main axis is associated with larger or smaller cell mass, respectively.</p>
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15 pages, 2597 KiB  
Article
Electrical Tumor Detection Probe Calibrated to Diagnose Gastrointestinal Cancer Mass in Real-Time
by Narges Yousefpour, Habibollah Mahmoodzadeh, Reihane Mahdavi, Mohammad Reza Fattahi, Amirmohsen Jalaeefar, Hossein Ataee, Fereshteh Ameli, Farzane Hajighasemi, Hadi Mokhtari Dowlatabad, Sepideh Mansouri, Omid Nabavian, Seyed Rouhollah Miri and Mohammad Abdolahad
J. Clin. Med. 2024, 13(19), 5823; https://doi.org/10.3390/jcm13195823 - 29 Sep 2024
Viewed by 304
Abstract
Background: The primary objective of this research is to propose an intra-operative tumor detection probe calibrated on human models of gastrointestinal (G.I.) cancers, enabling real-time scanning of dissected masses. Methods: Electrical Gastrointestinal Cancer Detection (EGCD) measures impedimetric characteristics of G.I. masses [...] Read more.
Background: The primary objective of this research is to propose an intra-operative tumor detection probe calibrated on human models of gastrointestinal (G.I.) cancers, enabling real-time scanning of dissected masses. Methods: Electrical Gastrointestinal Cancer Detection (EGCD) measures impedimetric characteristics of G.I. masses using a handpiece probe and a needle-based head probe. Impedance Phase Slope (IPS) and impedance magnitude (Z1kHz) are extracted as the classification parameters. EGCD was tested on palpable G.I. masses and compared to histopathology results. Results: Calibration was carried out on 120 GI mass samples. Considering pathological results as the gold standard, most cancer masses showed Z1kHz between 100 Ω and 2500 Ω while their IPS was between −15 and −1. The EGCD total sensitivity and specificity of this categorization in G.I. cancer patients with palpable tumors were 86.4% and 74.4%, respectively (p-value < 0.01). Conclusion: EGCD scoring can be used for 3D scanning of palpable tumors in G.I. tumors during surgery, which can help clarify the tumors’ pathological response to neoadjuvant chemotherapy or the nature of intra-operative newly found G.I. tumors for the surgeon to manage their surgical procedure better. Full article
(This article belongs to the Special Issue Gastrointestinal Endoscopy: Recent Developments and Emerging Trends)
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<p>The EGCD’s read-out system and function. (<b>A</b>) EGCD handpiece. (<b>B</b>) An enlarged view of the head probe illustrates the needle dispersion’s associated dimension. (<b>C</b>) Structure of tumoral gastric. (<b>D</b>) EGCD applies to the tumoral gastric, where the tumor invades the outer lining.</p>
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<p>The study inclusion and exclusion in the cohort study.</p>
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<p>Simulation of normalized current density in EGCD for f = 1 KHz and configuration of longitudinal proximity of cancerous mass. (<b>A</b>) Representation of max electrical current density at electrode places. The 1-3 is top view of the electrodes configuration. It is worth mentioning that the electrodes named 1 and 2 have the same potential to increase the measurement area. The simulation showed that the tip of the needles is the most sensitive electrode of the head probe. (<b>B</b>) Simulation of electrical current penetration depth into the cancerous tumor in the different distances of the tumor from the tips of needles. (<b>C</b>) A two-dimensional diagram representing tumor distance from the tip of the needle on the <span class="html-italic">x</span>-axis and current density on the <span class="html-italic">y</span>-axis for all different distances of tumor from the tips of needles defines that the transition point of the EGCD head probe is about 0.5 mm from the needle tip.</p>
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<p>EGCD measurement, calibration, and scoring schematic at G.I. tract. (<b>A</b>) Structure of sizeable tumoral lesion in rectosigmoid junction. (<b>B</b>) The surgeon applied the EGCD probe to the dissected tumoral mass. (<b>C</b>) A magnified view of the layer structure of the mass that the EGCD encounters during measurement. (<b>D</b>) H&amp;E assay of post-surgical pathology evaluation of the tumoral tissue. (<b>E</b>) A two-dimensional scattered diagram representing Z1kHz on the <span class="html-italic">x</span>-axis and IPS on the <span class="html-italic">y</span>-axis for all tested samples defines a primary calibration cut-off set. The green area is supposed to represent the negative region with the highest probability of benignity in G.I. samples. In contrast, the patterned red rectangle represents the positive region with the highest likelihood of malignancy in GIC samples. (<b>F</b>,<b>G</b>) Receiver operating characteristic (ROC) and comparison of AUC and <span class="html-italic">p</span>-value for IPS, Z1kHz, EGCD score, radiology score (RADS), age, and sex as the classification parameters.</p>
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<p>Picture of the H&amp;E assay of G.I. mass and comparison of EGCD score, post-treatment imaging evaluation, and post-surgical pathology evaluation of each case. (<b>A</b>) The rectal mass is free of tumors. (<b>B</b>) Gastric mass involved by adenocarcinoma. (<b>C</b>) Esophagus mass involved by SCC. (<b>D</b>) Esophagus mass involved by SCC.</p>
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21 pages, 3034 KiB  
Article
A Novel Approach to Enhancing the Determination of Primary Indicators in Non-Idealised Absorption Chillers
by Gábor L. Szabó
Energies 2024, 17(19), 4858; https://doi.org/10.3390/en17194858 - 27 Sep 2024
Viewed by 269
Abstract
The accurate optimisation of absorption chillers is often impeded by idealised models that overlook system interactions and machine complexities. This study introduces a validated mathematical description for predicting the primary indicators of non-idealised absorption chillers, accounting for factors such as the electrical work [...] Read more.
The accurate optimisation of absorption chillers is often impeded by idealised models that overlook system interactions and machine complexities. This study introduces a validated mathematical description for predicting the primary indicators of non-idealised absorption chillers, accounting for factors such as the electrical work of the Solution Circulation Pump, entropy changes within the refrigerant cycle, and exergy losses. Validation against 13 years of data (2008–2021) from the University of Debrecen’s absorption chiller indicated close agreement, with deviations within acceptable limits. The use of a solution heat exchanger shifted cooling indicators towards their minima. Sensitivity analyses indicated that a 2.5% reduction in condenser temperature increased COP by 41.3% and Cooling Exergetic Efficiency by 15.5%, while a 2.5% reduction in the Heat Fraction Factor improved both by 34%. Adjusting absorber temperature and Heat Fraction Factor down by 2.5%, alongside a 2.5% rise in generator temperature, resulted in a 100.8% increase in COP and a 52.8% boost in Cooling Exergetic Efficiency. These insights provide a solid foundation for future optimisation strategies in real-life absorption chiller systems. Full article
(This article belongs to the Section K: State-of-the-Art Energy Related Technologies)
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<p>(<b>a</b>) Schema of an idealised absorption machine. (<b>b</b>) Schema of a non-idealised absorption machine.</p>
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<p>(<b>a</b>) The external and internal temperatures; (<b>b</b>) secondary indicators; (<b>c</b>) energetic primary indicators and their extreme values; and (<b>d</b>) exergetic primary indicators and their extreme values.</p>
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<p>Values of Extreme Values Proximity Index at measurement time points for the examined machine.</p>
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<p>Sensitivity of (<b>a</b>) COP<sub>C</sub> depending on operating temperatures; (<b>b</b>) COP<sub>C</sub> depending on secondary indicators; (<b>c</b>) η<sub>ex,C</sub> depending on operating temperatures; (<b>d</b>) η<sub>ex,C</sub> depending on secondary indicators; (<b>e</b>) η<sub>A,C</sub> and η<sub>A,ex,C</sub> depending on operating temperatures; (<b>f</b>) η<sub>A,C</sub> and η<sub>A,ex,C</sub> depending on secondary indicators.</p>
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<p>Sensitivity of (<b>a</b>) COP<sub>C</sub> depending on operating temperatures; (<b>b</b>) COP<sub>C</sub> depending on secondary indicators; (<b>c</b>) η<sub>ex,C</sub> depending on operating temperatures; (<b>d</b>) η<sub>ex,C</sub> depending on secondary indicators; (<b>e</b>) η<sub>A,C</sub> and η<sub>A,ex,C</sub> depending on operating temperatures; (<b>f</b>) η<sub>A,C</sub> and η<sub>A,ex,C</sub> depending on secondary indicators.</p>
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<p>The achievable (<b>a</b>) λ<sub>C</sub> values (<b>b</b>) COP<sub>C</sub> changing, (<b>c</b>) η<sub>ex,C</sub> changing, (<b>d</b>) η<sub>A,C</sub> and η<sub>A,ex,C</sub> changing by adjusting the seven possible parameters.</p>
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<p>The achievable (<b>a</b>) λ<sub>C</sub> values (<b>b</b>) COP<sub>C</sub> changing, (<b>c</b>) η<sub>ex,C</sub> changing, (<b>d</b>) η<sub>A,C</sub> and η<sub>A,ex,C</sub> changing by adjusting the seven possible parameters.</p>
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<p>Connections and qualitative/quantitative nature of basic data, secondary indicators, and primary indicators.</p>
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28 pages, 14953 KiB  
Article
Enhancing State of Health Prediction Accuracy in Lithium-Ion Batteries through a Simplified Health Indicator Method
by Dongxu Han, Nan Zhou and Zeyu Chen
Batteries 2024, 10(10), 342; https://doi.org/10.3390/batteries10100342 - 27 Sep 2024
Viewed by 455
Abstract
Accurately predicting the state of health (SOH) of lithium-ion batteries is crucial for optimizing battery performance and achieving efficient energy management, especially in electric vehicle applications. However, the existing incremental capacity analysis methods, which are mostly based on curve multi-parameter analysis, still have [...] Read more.
Accurately predicting the state of health (SOH) of lithium-ion batteries is crucial for optimizing battery performance and achieving efficient energy management, especially in electric vehicle applications. However, the existing incremental capacity analysis methods, which are mostly based on curve multi-parameter analysis, still have limitations in terms of computation, prediction accuracy, and adaptability to actual operating conditions. This paper conducts an in-depth analysis of the incremental capacity (IC) curve and proposes a feature parameter based on the area under the IC curve. By incorporating charge and discharge data, a weighted health indicator sequence is constructed and three mathematical models are proposed to link health indicators with cycle number, capacity, and SOH. The feasibility of using impedance as an additional input is also explored, despite the challenges of measurement, revealing its potential applications. Validation of the models with different datasets shows that the proposed method achieves both average relative error and root mean square error within 5%, outperforming other methods in terms of minimizing error and ensuring stability. The results demonstrate that the area-weighted incremental capacity method significantly enhances battery health monitoring accuracy, contributing to the development of sustainable and efficient energy storage systems. Full article
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Graphical abstract

Graphical abstract
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<p>Definitions of parameters related to IC curves.</p>
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<p>(<b>a</b>) The variations in charging current over time for battery #5 under different cycles. (<b>b</b>) The variations in terminal voltage over time for battery #5 under different cycles.</p>
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<p>(<b>a</b>) The variations in charging current over time for battery #5 under different cycles. (<b>b</b>) The variations in terminal voltage over time for battery #5 under different cycles.</p>
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<p>The variations in discharge terminal voltage over time for battery #5 under different cycles.</p>
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<p>(<b>a</b>) The relationship between terminal voltage and charged capacity under different cycles. (<b>b</b>) The relationship between terminal voltage and discharged capacity under different cycles.</p>
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<p>(<b>a</b>) The relationship between terminal voltage and charged capacity under different cycles. (<b>b</b>) The relationship between terminal voltage and discharged capacity under different cycles.</p>
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<p>(<b>a</b>) The IC curve during the charging process for battery #5. (<b>b</b>) The IC curve during the discharging process for battery #5.</p>
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<p>(<b>a</b>) The IC curve during the charging process at different voltage intervals. (<b>b</b>) The IC curve during the discharging process at different voltage intervals.</p>
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<p>(<b>a</b>) The IC curves before and after filtering during the charging process. (<b>b</b>) The IC curves before and after filtering during the discharging process.</p>
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<p>(<b>a</b>) The variation trends of HI during the charging lifecycle. (<b>b</b>) The variation trends of HI during the discharging lifecycle.</p>
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<p>(<b>a</b>) The variation trends of HI during the charging lifecycle. (<b>b</b>) The variation trends of HI during the discharging lifecycle.</p>
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<p>Scheme flowchart for the analysis.</p>
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<p>(<b>a</b>) The relationship between health features and actual battery capacity during charge cycles. (<b>b</b>) The relationship between health features and actual battery capacity during discharge cycles.</p>
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<p>The cycle rule after normalization and further relative normalization.</p>
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<p>The relationship between the initial total HI and capacity for different batteries.</p>
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<p>The fitting results of the capacity rule.</p>
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<p>The relationship between the initial total HI and SOH for different batteries.</p>
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<p>The fitting results of the SOH rule.</p>
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<p>(<b>a</b>) The cycle number of the #7 battery estimated by the cycle rule. (<b>b</b>) The capacity of the #7 battery estimated by the cycle rule. (<b>c</b>) The SOH of the #7 battery estimated by the cycle rule.</p>
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<p>(<b>a</b>) The cycle number of the #7 battery estimated by the cycle rule. (<b>b</b>) The capacity of the #7 battery estimated by the cycle rule. (<b>c</b>) The SOH of the #7 battery estimated by the cycle rule.</p>
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<p>(<b>a</b>) The capacity of the #7 battery estimated by the capacity rule. (<b>b</b>) The SOH of the #7 battery estimated by the capacity rule.</p>
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<p>(<b>a</b>) The capacity of the #7 battery estimated by the capacity rule. (<b>b</b>) The SOH of the #7 battery estimated by the capacity rule.</p>
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<p>The SOH of the #7 battery estimated by the SOH rule.</p>
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<p>The relationship between relative error and cycle number.</p>
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<p>A bar chart of the average relative error for different methods.</p>
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<p>The fitting results of the capacity rule by the HI and impedance.</p>
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<p>Comparison of capacity estimation results between single-input and dual-input.</p>
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<p>The relative error comparison between single-input and dual-input.</p>
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<p>(<b>a</b>) The prediction results for different data. (<b>b</b>) The relative error analysis of different data.</p>
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<p>(<b>a</b>) The prediction results for different data. (<b>b</b>) The relative error analysis of different data.</p>
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<p>(<b>a</b>) Comparison of the RMSE of different methods [<a href="#B12-batteries-10-00342" class="html-bibr">12</a>,<a href="#B15-batteries-10-00342" class="html-bibr">15</a>,<a href="#B19-batteries-10-00342" class="html-bibr">19</a>,<a href="#B20-batteries-10-00342" class="html-bibr">20</a>,<a href="#B21-batteries-10-00342" class="html-bibr">21</a>]. (<b>b</b>) Comparison of the average relative error of different methods [<a href="#B13-batteries-10-00342" class="html-bibr">13</a>,<a href="#B16-batteries-10-00342" class="html-bibr">16</a>,<a href="#B17-batteries-10-00342" class="html-bibr">17</a>].</p>
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25 pages, 21622 KiB  
Article
Advanced Design and Implementation of a 2-Channel, Multi-Functional Therapeutic Electrical Stimulator
by Rujira Lakatem, Suttipong Boontaklang and Chow Chompoo-inwai
Electronics 2024, 13(19), 3793; https://doi.org/10.3390/electronics13193793 - 24 Sep 2024
Viewed by 682
Abstract
This research introduces the design, implementation, and rigorous evaluation of a novel 2-channel, multi-functional therapeutic electrical stimulator, meticulously engineered to meet the stringent demands of contemporary clinical applications. The device integrates a high-speed R-2R ladder DAC and a sophisticated pulse generator unit, capable [...] Read more.
This research introduces the design, implementation, and rigorous evaluation of a novel 2-channel, multi-functional therapeutic electrical stimulator, meticulously engineered to meet the stringent demands of contemporary clinical applications. The device integrates a high-speed R-2R ladder DAC and a sophisticated pulse generator unit, capable of producing twelve essential current waveforms with fully adjustable parameters, including pulse amplitude, pulse duration, and pulse repetitive frequency. The proposed driving stage unit ensures precise voltage-to-current conversion, delivering stable and accurate output currents even under varying load conditions, which effectively simulate the diverse impedance characteristics of human tissue. Extensive testing confirmed the compliance with international medical standards, notably IEC 60601-1, IEC 60601-1-2, and IEC 60601-2-10. The experimental results underscore the device’s consistent operation within prescribed safety and performance thresholds, with all deviations in pulse parameters remaining well below the permissible limits. Furthermore, the proposed electrical stimulator demonstrated exceptional stability across variable load conditions, as evidenced by minimal amplitude errors and high correlation between waveform characteristics. These findings highlight the proposed device’s robustness and its potential as a versatile tool for a wide range of therapeutic applications, including pain management, muscle stimulation, and nerve rehabilitation, thus marking a significant advancement in the field of therapeutic electrical stimulation. Full article
(This article belongs to the Section Industrial Electronics)
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<p>System overview of the proposed ES design.</p>
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<p>Scope of work emphasized in this paper.</p>
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<p>The proposed R-2R ladder DAC circuit.</p>
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<p>The actual schematic of the proposed pulse generator unit implementation.</p>
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<p>The signal polarity separator circuit in this design.</p>
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<p>V-to-I converter in this work.</p>
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<p>The flyback converter circuit.</p>
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<p>The actual schematic of the proposed driving stage unit implementation.</p>
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<p>Two integrated PCBs of the key components in the proposed ES design.</p>
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<p>The experimental configuration diagram.</p>
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<p>The actual experimental setup.</p>
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<p>Demonstration of twelve essential output currents (<span class="html-italic">I<sub>Out</sub></span>) compared to controlled voltage (<span class="html-italic">V<sub>Ra</sub></span>) of the proposed ES device: (<b>a</b>) IG; (<b>b</b>) CG; (<b>c</b>) MF; (<b>d</b>) DF; (<b>e</b>) CP; (<b>f</b>) CPid; (<b>g</b>) LP; (<b>h</b>) TF; (<b>i</b>) RF; (<b>j</b>) ASYM; (<b>k</b>) ASYM-A; and (<b>l</b>) SYM.</p>
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<p>Demonstration of pulse amplitude adjustability: (<b>a</b>) MF 10 mA; (<b>b</b>) MF 40 mA; (<b>c</b>) MF 70 mA; (<b>d</b>) ASYM 10 mA; (<b>e</b>) ASYM 70 mA; and (<b>f</b>) ASYM 140 mA.</p>
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<p>Demonstration of pulse duration adjustability (ASYM): (<b>a</b>) 50 µs; (<b>b</b>) 500 µs; and (<b>c</b>) 2000 µs.</p>
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<p>Demonstration of pulse repetitive frequency adjustability (RF): (<b>a</b>) 50 Hz; (<b>b</b>) 200 Hz; and (<b>c</b>) 500 Hz.</p>
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<p>Demonstration of two additional special functions for output currents.: (<b>a</b>) ASYM with Surge; and (<b>b</b>) SYM with Modulation.</p>
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13 pages, 14616 KiB  
Article
Impedance Spectroscopy Study of Charge Transfer in the Bulk and Across the Interface in Networked SnO2/Ga2O3 Core–Shell Nanobelts in Ambient Air
by Maciej Krawczyk, Ryszard Korbutowicz and Patrycja Suchorska-Woźniak
Sensors 2024, 24(19), 6173; https://doi.org/10.3390/s24196173 - 24 Sep 2024
Viewed by 414
Abstract
Metal oxide core–shell fibrous nanostructures are promising gas-sensitive materials for the detection of a wide variety of both reducing and oxidizing gases. In these structures, two dissimilar materials with different work functions are brought into contact to form a coaxial heterojunction. The influence [...] Read more.
Metal oxide core–shell fibrous nanostructures are promising gas-sensitive materials for the detection of a wide variety of both reducing and oxidizing gases. In these structures, two dissimilar materials with different work functions are brought into contact to form a coaxial heterojunction. The influence of the shell material on the transportation of the electric charge carriers along these structures is still not very well understood. This is due to homo-, hetero- and metal/semiconductor junctions, which make it difficult to investigate the electric charge transfer using direct current methods. However, in order to improve the gas-sensing properties of these complex structures, it is necessary to first establish a good understanding of the electric charge transfer in ambient air. In this article, we present an impedance spectroscopy study of networked SnO2/Ga2O3 core–shell nanobelts in ambient air. Tin dioxide nanobelts were grown directly on interdigitated gold electrodes, using the thermal sublimation method, via the vapor–liquid–solid (VLS) mechanism. Two forms of a gallium oxide shell of varying thickness were prepared via halide vapor-phase epitaxy (HVPE), and the impedance spectra were measured at 189–768 °C. The bulk resistance of the core–shell nanobelts was found to be reduced due to the formation of an electron accumulation layer in the SnO2 core. At temperatures above 530 °C, the thermal reduction of SnO2 and the associated decrease in its work function caused electrons to flow from the accumulation layer into the Ga2O3 shell, which resulted in an increase in bulk resistance. The junction resistance of said core–shell nanostructures was comparable to that of SnO2 nanobelts, as both structures are likely connected through existing SnO2/SnO2 homojunctions comprising thin amorphous layers. Full article
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<p>(<b>a</b>) Scanning electron microscope image of SnO<sub>2</sub> nanobelts grown on interdigitated electrodes; and (<b>b</b>,<b>c</b>) enlarged image of the microstructure of SnO<sub>2</sub> nanobelts. The inset shows the edge of the Au electrode before synthesis; and (<b>d</b>) Transmission electron microscope image of SnO<sub>2</sub> nanobelts. The inset in the upper corner shows an enlarged view of the amorphous layer on the surface of the nanobelt. The inset in the lower corner shows the selective area diffraction pattern of the imaged nanobelt.</p>
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<p>(<b>a</b>) X-ray diffractogram of SnO<sub>2</sub> nanobelts; and (<b>b</b>) chemical composition examined along the length and at the end of the nanobelt shown in <a href="#sensors-24-06173-f001" class="html-fig">Figure 1</a>d.</p>
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<p>SEM images of the microstructure of SnO<sub>2</sub>/Ga<sub>2</sub>O<sub>3</sub> core–shell nanobelts: (<b>a</b>) CS840; (<b>b</b>) enlarged image of CS840; (<b>c</b>) CS1000; and (<b>d</b>) enlarged image of CS1000.</p>
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<p>(<b>a</b>) SEM image of the cross-section of two SnO<sub>2</sub>/Ga<sub>2</sub>O<sub>3</sub> core–shell fibrous structures with shells synthesized at 840 °C. In the upper part of the image, the sputtered Pt layer before ion beam etching is visible (for more detail, see <a href="#app1-sensors-24-06173" class="html-app">Figure S1 in the Supplementary Materials</a>), and, in the lower part, the alumina substrate can be seen. (<b>b</b>) Corresponding map of the atomic composition of the cross-section; the edges of the SEM image are overlaid to aid visualization.</p>
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<p>Complex impedance and Bode plots of the tested structures, as measured at (<b>a</b>,<b>b</b>) 626 °C and (<b>c</b>,<b>d</b>) 768 °C.</p>
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<p>The electrical equivalent circuit fitted to the impedance spectra. <span class="html-italic">R</span><sub>b</sub> is the bulk resistance, <span class="html-italic">R</span><sub>j</sub> is the resistance of junctions between the nanobelts, and <span class="html-italic">CPE</span><sub>j</sub> is the constant-phase element.</p>
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<p>Arrhenius plots of (<b>a</b>) the resistance of junctions between the structures; (<b>b</b>) the bulk resistance of SnO<sub>2</sub> nanobelts; (<b>c</b>) the bulk resistance of CS840; and (<b>d</b>) the bulk resistance of CS1000.</p>
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<p>A schematic depiction of electric charge being transported through adjoining SnO<sub>2</sub> nanobelts. The charge depletion layer is shaded in blue. <span class="html-italic">R</span><sub>e</sub> and <span class="html-italic">C</span><sub>e</sub> are the resistance and capacitance of the electrode/semiconductor junction; <span class="html-italic">R</span><sub>b</sub> is the bulk resistance of the SnO<sub>2</sub> nanobelt; and <span class="html-italic">R</span><sub>j</sub> and <span class="html-italic">C</span><sub>j</sub> are the resistance and capacitance of the junction between the nanobelts.</p>
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<p>Current and voltage measured at 768 °C.</p>
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13 pages, 5755 KiB  
Article
Graphene Monolayer Nanomesh Structures and Their Applications in Electromagnetic Energy Harvesting for Solving the Matching Conundrum of Rectennas
by Mircea Dragoman, Adrian Dinescu, Martino Aldrigo, Daniela Dragoman, Elaheh Mohebbi, Eleonora Pavoni and Emiliano Laudadio
Nanomaterials 2024, 14(19), 1542; https://doi.org/10.3390/nano14191542 - 24 Sep 2024
Viewed by 438
Abstract
In this paper, we investigate various graphene monolayer nanomesh structures (diodes) formed only by nanoholes, with a diameter of just 20 nm and etched from the graphene layer in different shapes (such as rhombus, bow tie, rectangle, trapezoid, and triangle), and their electrical [...] Read more.
In this paper, we investigate various graphene monolayer nanomesh structures (diodes) formed only by nanoholes, with a diameter of just 20 nm and etched from the graphene layer in different shapes (such as rhombus, bow tie, rectangle, trapezoid, and triangle), and their electrical properties targeting electromagnetic energy harvesting applications. In this respect, the main parameters characterizing any nonlinear device for energy harvesting are extracted from tens of measurements performed on a single chip containing the fabricated diodes. The best nano-perforated graphene structure is the triangle nanomesh structure, which exhibits remarkable performance in terms of its characteristic parameters, e.g., a 420 Ω differential resistance for optimal impedance matching to an antenna, a high responsivity greater than 103 V/W, and a low noise equivalent power of 847 pW/√Hz at 0 V. Full article
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<p>Graphene monolayer nanomesh structures with metallic contacts: (<b>a</b>) rhombus and (<b>b</b>) bow tie.</p>
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<p>Details of graphene monolayer nanomeshes of different shapes: (<b>a</b>) rectangle, (<b>b</b>) triangle, and (<b>c</b>) delta.</p>
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<p>A part of the graphene nanomesh chip with metallized electrodes and its details.</p>
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<p>Performance of diode “bow tie” in dark conditions: (<b>a</b>) I–V characteristic; (<b>b</b>) differential resistance R<sub>D</sub> (kΩ); (<b>c</b>) nonlinearity χ (a.u.); (<b>d</b>) sensitivity γ (V<sup>−1</sup>); (<b>e</b>) voltage responsivity β (V/W); (<b>f</b>) noise equivalent power (pW/√Hz).</p>
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<p>Performance of diode “rhombus” in dark conditions: (<b>a</b>) I–V characteristic; (<b>b</b>) differential resistance R<sub>D</sub> (kΩ); (<b>c</b>) nonlinearity χ (a.u.); (<b>d</b>) sensitivity γ (V<sup>−1</sup>); (<b>e</b>) voltage responsivity β (V/W); (<b>f</b>) noise equivalent power (pW/√Hz).</p>
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<p>Performance of diode “delta” in dark conditions: (<b>a</b>) I–V characteristic; (<b>b</b>) differential resistance R<sub>D</sub> (kΩ); (<b>c</b>) nonlinearity χ (a.u.); (<b>d</b>) sensitivity γ (V<sup>−1</sup>); (<b>e</b>) voltage responsivity β (V/W); (<b>f</b>) noise equivalent power (pW/√Hz).</p>
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<p>Performance of diode “rectangle#1” in dark conditions: (<b>a</b>) I–V characteristic; (<b>b</b>) differential resistance R<sub>D</sub> (kΩ); (<b>c</b>) nonlinearity χ (a.u.); (<b>d</b>) sensitivity γ (V<sup>−1</sup>); (<b>e</b>) voltage responsivity β (V/W); (<b>f</b>) noise equivalent power (pW/√Hz).</p>
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<p>Performance of diode “rectangle#2” in dark conditions: (<b>a</b>) I–V characteristic; (<b>b</b>) differential resistance R<sub>D</sub> (kΩ); (<b>c</b>) nonlinearity χ (a.u.); (<b>d</b>) sensitivity γ (V<sup>−1</sup>); (<b>e</b>) voltage responsivity β (V/W); (<b>f</b>) noise equivalent power (pW/√Hz).</p>
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<p>Performance of diode “triangle” in dark conditions: (<b>a</b>) I–V characteristic; (<b>b</b>) differential resistance R<sub>D</sub> (kΩ); (<b>c</b>) nonlinearity χ (a.u.); (<b>d</b>) sensitivity γ (V<sup>−1</sup>); (<b>e</b>) voltage responsivity β (V/W); (<b>f</b>) noise equivalent power (pW/√Hz).</p>
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<p>Optimized perforated graphene–SiO<sub>2</sub> interface: (<b>a</b>) focus on Si-C bonds and (<b>b</b>) wavy shape of interface; (<b>c</b>) top view of perforated graphene and (<b>d</b>) top view of holes. C, Si, and O atoms are highlighted in gray, light brown, and red, respectively, whereas blue and yellow represent Cr and Au atoms, respectively.</p>
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<p>Optimized perforated graphene–SiO<sub>2</sub> interface: (<b>a</b>) focus on Si-C bonds and (<b>b</b>) wavy shape of interface; (<b>c</b>) top view of perforated graphene and (<b>d</b>) top view of holes. C, Si, and O atoms are highlighted in gray, light brown, and red, respectively, whereas blue and yellow represent Cr and Au atoms, respectively.</p>
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<p>An atomistic description of the “triangle” nanomesh diode: (<b>a</b>) top, (<b>b</b>) lateral, and (<b>c</b>) front views. The C, Si, O, Cr, and Au atoms are highlighted in gray, light brown, red, blue, and yellow, respectively.</p>
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<p>A comparison between the simulated and measured I–V curve of the “triangle” nanomesh diode in the voltage range between −1 and 1 V.</p>
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13 pages, 4975 KiB  
Article
Electrical Quantum Coupling of Subsurface-Nanolayer Quasipolarons
by Yihan Zeng, Ruichen Li, Shengyu Fang, Yuting Hu, Hongxin Yang, Junhao Chen, Xin Su, Kai Chen and Laijun Liu
Nanomaterials 2024, 14(18), 1540; https://doi.org/10.3390/nano14181540 - 23 Sep 2024
Viewed by 403
Abstract
We perform dielectric and impedance spectrums on the compressively-strained ceramics of multiferroic bismuth ferrite. The subsurface-nanolayer quasipolarons manifest the step-like characteristic of pressure-dependent transient frequency and, furthermore, pressure-dependency fails in the transformation between complex permittivity and electrical impedance, which is well-known in classic [...] Read more.
We perform dielectric and impedance spectrums on the compressively-strained ceramics of multiferroic bismuth ferrite. The subsurface-nanolayer quasipolarons manifest the step-like characteristic of pressure-dependent transient frequency and, furthermore, pressure-dependency fails in the transformation between complex permittivity and electrical impedance, which is well-known in classic dielectric physics, as well as the bulk dipole chain at the end of the dissipation peak. Full article
(This article belongs to the Special Issue The Interaction of Electron Phenomena on the Mesoscopic Scale)
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<p>Electron configuration (<b>a</b>), crystal field splitting of d orbitals (<b>b</b>), spins of Fe<sup>3+</sup>−3d electrons (<b>c</b>) and the schematic illustration of the quasi-polaron in BiFeO<sub>3</sub> (<b>d</b>).</p>
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<p>The homemade pressure anvil (<b>a</b>) and the design chart (<b>b</b>). The left (large) and right (small) insets show the unbroken disk with the silver bottom electrode and top electrode, respectively, after compressive strain is applied.</p>
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<p>Frequency-dependent permittivity (<b>a</b>) and loss tangent (<b>b</b>) plots under pressure increased up to 5.56 Mpa.</p>
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<p>Complex permittivity plot under increased P (<b>a</b>) and pressure-dependent transient frequency (<b>b</b>). The dot line separates the response zone of the quasipolarons in the subsurface nanolayer and that of dipole chains in the bulk.</p>
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<p>Relative changes in resistance (<b>a</b>) and reactance (<b>b</b>) plots under increased pressure.</p>
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<p>Relative change between complex permittivity and electrical impedance of the quasipolarons in the subsurface nanolayer (<b>a</b>) and the dipole chains in the bulk (<b>b</b>–<b>d</b>).</p>
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