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Search Results (479)

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Keywords = flexible strain sensor

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14 pages, 8516 KiB  
Article
A Flexible Multifunctional Sensor Based on an AgNW@ZnONR Composite Material
by Hao Lv, Xue Qi, Yuxin Wang, Yang Ye, Peike Wang, Ao Yin, Jingjing Luo, Zhongqi Ren, Haipeng Liu, Suzhu Yu and Jun Wei
Materials 2024, 17(19), 4788; https://doi.org/10.3390/ma17194788 (registering DOI) - 29 Sep 2024
Abstract
A multifunctional sensor comprising flexible and transparent ultraviolet (UV) photodetectors (PDs) with strain gauges based on Ag nanowire (AgNW)@ZnO nanorods (ZnONRs) was fabricated using a cost-effective, simple, and efficient method. High-aspect ratio silver nanowires were synthesized using the polyol method. An AgNW@ZnONR composite [...] Read more.
A multifunctional sensor comprising flexible and transparent ultraviolet (UV) photodetectors (PDs) with strain gauges based on Ag nanowire (AgNW)@ZnO nanorods (ZnONRs) was fabricated using a cost-effective, simple, and efficient method. High-aspect ratio silver nanowires were synthesized using the polyol method. An AgNW@ZnONR composite was formed via the hydrothermal method to ensure the multifunctional capability of the flexible sensors. After refining the process parameters, the size of the ZnO nanorods was decreased to fabricate pliable multifunctional sensors using AgNW@ZnONRs. At a deposition of 0.207 g of AgNW@ZnONRs, the sensor achieves its maximum switching ratio and fastest response time under conditions of 2000 μW/cm2 UV optical power density. With a ton (rise time) of 2.7 s and a toff (fall time) of 2.3 s, the ratio of Ion to Ioff current is 1151. Additionally, the sensor’s maximum optical current value correlates linearly with UV light’s power density. The maximum response current increased from 222.5 pA to 588.1 pA, an increase of 164.3%, when the bending angle was increased from 15° to 90° for the sensor with a deposition of 0.276 g of AgNW@ZnONRs. There was no degradation in the response of the sensors after 10,000 bending cycles, as they have excellent stability and repeatability, which means they can meet the requirements of wearable sensor applications. Therefore, there is great potential for the practical application of multifunctional AgNW@ZnONRs in flexible sensors. Full article
(This article belongs to the Section Advanced Nanomaterials and Nanotechnology)
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<p>SEM micrographs of the synthesized composite materials: (<b>a</b>) AgNW@ZnONPs; (<b>b</b>) AgNW@ZnONRs.</p>
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<p>SEM plot of AgNW@ZnONRs under the initial parameters: (<b>a</b>) morphology representation of AgNW@ZnONRs; (<b>b</b>) local enlarged view of AgNW@ZnONRs.</p>
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<p>The SEM plot of AgNW@ZnONRs after optimizing the parameters: (<b>a</b>) morphology representation of AgNW@ZnONRs; (<b>b</b>) local enlarged view of AgNW@ZnONRs.</p>
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<p>Preparation flow diagram of AgNW@ZnONR-based flexible multifunctional sensor.</p>
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<p>The SEM diagram of the AgNW@ZnONR conductive layer on the film surface.</p>
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<p>AgNW and ZnONR contact energy band. (<b>a</b>) Electron flow induces charge separation. (<b>b</b>) Formation of a space charge region and band bending.</p>
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<p>SEM diagram of different deposits of PDMS surface composites: (<b>a</b>) 0.069 g; (<b>b</b>) 0.138 g; (<b>c</b>) 0.207 g; and (<b>d</b>) 0.276 g.</p>
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<p>I-t curves of different deposition amounts in UV light response test: (<b>a</b>) 0.069 g; (<b>b</b>) 0.138 g; (<b>c</b>) 0.207 g; and (<b>d</b>) 0.276 g.</p>
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<p>Linear fitting diagram of maximum photocurrent with different deposition amounts: (<b>a</b>) 0.069 g; (<b>b</b>) 0.138 g; (<b>c</b>) 0.207 g; and (<b>d</b>) 0.276 g.</p>
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<p>Bending response current of AgNW@ZnONR-based flexible sensors with different deposition amounts: (<b>a</b>) 0.069 g; (b) 0.138 g; (<b>c</b>) 0.207 g; and (<b>d</b>) 0.276 g.</p>
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<p>Relationship diagram of maximum response current–bending angle of sensors with different AgNW@ZnONR deposition amounts.</p>
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<p>Results for a sensor that was bent at 90° for 10,000 cycle tests with a 0.276 g deposition amount.</p>
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15 pages, 5338 KiB  
Article
Research on the Fabrication and Parameters of a Flexible Fiber Optic Pressure Sensor with High Sensitivity
by Huixin Zhang, Jing Wu and Chencheng Gao
Photonics 2024, 11(10), 919; https://doi.org/10.3390/photonics11100919 (registering DOI) - 28 Sep 2024
Abstract
In recent years, flexible pressure sensors have garnered significant attention. However, the development of large-area, low-cost, and easily fabricated flexible pressure sensors remains challenging. We designed a flexible fiber optic pressure sensor for contact force detection based on the principle of backward Rayleigh [...] Read more.
In recent years, flexible pressure sensors have garnered significant attention. However, the development of large-area, low-cost, and easily fabricated flexible pressure sensors remains challenging. We designed a flexible fiber optic pressure sensor for contact force detection based on the principle of backward Rayleigh scattering using a single-mode optical fiber as the sensing element and polymer PDMS as the encapsulation material. To enhance the sensor’s sensitivity and stability, we optimized its structural design, parameters, and fabrication process and measured the fiber strain using an optical frequency domain reflectometer (OFDR). The results showed that the sensor achieved a high sensitivity of 6.93247 με/kPa with a PDMS concentration ratio of 10:1, a curing time of 2 h, and a substrate thickness of 5 mm. The sensor demonstrated excellent linearity and repeatability in static performance tests and was successfully used to monitor the plantar pressure distribution in real time. This flexible fiber optic pressure sensor can be developed via a simple fabrication process, has a low cost, and has high sensitivity, highlighting its potential applications in smart wearables and medical diagnostics. Full article
(This article belongs to the Special Issue Optical Sensors and Devices)
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<p>(<b>a</b>) Three-dimensional structure of the sensor; (<b>b</b>) physical drawing of the sensor.</p>
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<p>(<b>a</b>) Schematic diagram of the fiber optic structure; (<b>b</b>) physical drawing of the G.65A72.</p>
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<p>Schematic diagram of the sensor fabrication process.</p>
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<p>Working principle of OFDR.</p>
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<p>Test system.</p>
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<p>Stress–strain diagrams for PDMS substrates of different thicknesses.</p>
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<p>Stress–strain diagrams for different PDMS ratios.</p>
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<p>Stress–strain diagrams for different curing times.</p>
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<p>Relationship between the strain and pressure response of four-cycle loading.</p>
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<p>Relationship between the strain and pressure response of four loading/unloading cycles. (<b>a</b>) First loading/unloading cycle; (<b>b</b>) second loading/unloading cycle; (<b>c</b>) third loading/unloading cycle; (<b>d</b>) fourth loading/unloading cycle.</p>
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<p>(<b>a</b>) Pressure zoning of the soles of the feet; (<b>b</b>) insole-type fiber optic sensor structure.</p>
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<p>Test process.</p>
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<p>(<b>a</b>) Strain diagram of the output at static stand; (<b>b</b>) cloud view of distribution of plantar pressure during static standing.</p>
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<p>Gait analysis during walking: (<b>a</b>) heel on the ground; (<b>b</b>) full foot on the ground; (<b>c</b>) foot planted on the ground.</p>
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<p>The distribution of plantar pressure during walking: (<b>a</b>) heel on the ground; (<b>b</b>) full foot on the ground; (<b>c</b>) foot planted on the ground.</p>
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14 pages, 2739 KiB  
Article
A Highly Sensitive, Low Creep Hydrogel Sensor for Plant Growth Monitoring
by Haoyan Xu, Guangyao Zhang, Wensheng Wang, Chenrui Sun, Hanyu Wang, Han Wu and Zhuangzhi Sun
Sensors 2024, 24(19), 6197; https://doi.org/10.3390/s24196197 - 25 Sep 2024
Abstract
Ion−conducting hydrogels show significant potential in plant growth monitoring. Nevertheless, traditional ionic hydrogel sensors experience substantial internal creep and inadequate sensitivity, hindering precise plant growth monitoring. In this study, we developed a flexible hydrogel sensor composed of polyvinyl alcohol and acrylamide. The hydrogel [...] Read more.
Ion−conducting hydrogels show significant potential in plant growth monitoring. Nevertheless, traditional ionic hydrogel sensors experience substantial internal creep and inadequate sensitivity, hindering precise plant growth monitoring. In this study, we developed a flexible hydrogel sensor composed of polyvinyl alcohol and acrylamide. The hydrogel sensor exhibits low creep and high sensitivity. Polyvinyl alcohol, acrylamide, and glycerol are crosslinked to create a robust interpenetrating double network structure. The strong interactions, such as van der Waals forces, between the networks minimize hydrogel creep under external stress, reducing the drift ratio by 50% and the drift rate by more than 60%. Additionally, sodium chloride and AgNWs enrich the hydrogel with conductive ions and pathways, enhancing the sensor’s conductivity and demonstrating excellent response time (0.4 s) and recovery time (0.3 s). When used as a sensor for plant growth monitoring, the sensor exhibits sensitivity to small strains and stability for long−term monitoring. This sensor establishes a foundation for developing plant health monitoring systems utilizing renewable biomass materials. Full article
(This article belongs to the Section Smart Agriculture)
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<p>Preparation process of SNaPVA−Sensor. (<b>a</b>) Preparation process of SNaPVA−Sensor. (<b>b</b>) Cross−linking status of SNaPVA−Sensor.</p>
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<p>Preparation and function of SNaPVA−Sensor. (<b>a</b>) Schematic diagram of the properties and functions of the SNaPVA−Sensor. (<b>b</b>) XRD spectrum of SNaPVA−Sensor. (<b>c</b>) Infrared diffraction spectrum of SNaPVA−Sensor.</p>
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<p>Electrochemical performance of the SNaPVA sensor. (<b>a</b>–<b>c</b>) CV curves of PVA−Sensor at 20 mV s<sup>−1</sup>, 50 mV s<sup>−1</sup> and 100 mV s<sup>−1</sup>; (<b>d</b>) Capacitance of the PVA—Sensor; (<b>e</b>) EIS curves of different PVA−Sensors; (<b>f</b>) Equivalent resistance of different PVA−Sensor; (<b>g</b>) Charge transfer resistance of different PVA−Sensor; (<b>h</b>) Electrical conductivity of different PVA−Sensor; (<b>i</b>) Water content of different PVA−Sensor.</p>
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<p>Sensing performance of SNaPVA−Sensor. (<b>a</b>) Definition of drift ratio and drift rate; (<b>b</b>) Drift ratio of conventional hydrogel sensor and different PVA−Sensor; (<b>c</b>) Drift ratios of conventional hydrogel sensors and SNaPVA−Sensor; (<b>d</b>) Current response versus time for SNaPVA−Sensor at different pressures; (<b>e</b>) Response and recovery time of SNaPVA−Sensor to pressure at 1 kPa. (<b>f</b>) Cyclic stability of the SNaPVA−Sensor for a long cycle loading and unloading cycle at 1.2 kPa. (<b>g</b>) Variation of ∆R/R<sub>0</sub> of SNaPVA−Sensor with pressure.</p>
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<p>Performance of SNaPVA−Sensor for monitoring plant growth. (<b>a</b>) Model of SNaPVA−Sensor applied to plant stem; (<b>b</b>) Physical drawing of SNaPVA−Sensor monitoring plant stem growth; (<b>c</b>) SNaPVA−Sensor for short time plant growth monitoring; (<b>d</b>) SNaPVA−Sensor for long time plant growth monitoring; (<b>e</b>) Differences between SNaPVA−Sensor and manual monitoring; (<b>f</b>) SNaPVA−Sensor for long period plant growth monitoring; (<b>g</b>) SNaPVA−Sensor for different stem widths of the response.</p>
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<p>Comparison of response/recovery time of SNaPVA−Sensor and other sensor.</p>
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24 pages, 13268 KiB  
Article
Comprehensive Study of Mechanical, Electrical and Biological Properties of Conductive Polymer Composites for Medical Applications through Additive Manufacturing
by Emese Paari-Molnar, Kinga Kardos, Roland Told, Imre Simon, Nitin Sahai, Peter Szabo, Judit Bovari-Biri, Alexandra Steinerbrunner-Nagy, Judit E. Pongracz, Szilard Rendeki and Peter Maroti
Polymers 2024, 16(18), 2625; https://doi.org/10.3390/polym16182625 - 17 Sep 2024
Abstract
Conductive polymer composites are commonly present in flexible electrodes for neural interfaces, implantable sensors, and aerospace applications. Fused filament fabrication (FFF) is a widely used additive manufacturing technology, where conductive filaments frequently contain carbon-based fillers. In this study, the static and dynamic mechanical [...] Read more.
Conductive polymer composites are commonly present in flexible electrodes for neural interfaces, implantable sensors, and aerospace applications. Fused filament fabrication (FFF) is a widely used additive manufacturing technology, where conductive filaments frequently contain carbon-based fillers. In this study, the static and dynamic mechanical properties and the electrical properties (resistance, signal transmission, resistance measurements during cyclic tensile, bending and temperature tests) were investigated for polylactic acid (PLA)-based, acrylonitrile butadiene styrene (ABS)-based, thermoplastic polyurethane (TPU)-based, and polyamide (PA)-based conductive filaments with carbon-based additives. Scanning electron microscopy (SEM) was implemented to evaluate the results. Cytotoxicity measurements were performed. The conductive ABS specimens have a high gauge factor between 0.2% and 1.0% strain. All tested materials, except the PA-based conductive composite, are suitable for low-voltage applications such as 3D-printed EEG and EMG sensors. ABS-based and TPU-based conductive composites are promising raw materials suitable for temperature measuring and medical applications. Full article
(This article belongs to the Special Issue 3D Printing of Polymer Composites)
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<p>Method of the study.</p>
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<p>(<b>a</b>) Photograph (ESD-ABS). (<b>b</b>) Schematic representation of the specimens for the tensile–resistance test.</p>
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<p>Measuring equipment for temperature–resistance measurements. The specimen was insulated and fixed to the printing bed with Kapton tape. On the top, between the tape and the specimen, a thermistor was inserted, and the sample was connected to the voltage divider on both sides.</p>
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<p>Schematic representation of mixed flexural specimen.</p>
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<p>Schematic representation of the signal transfer measurements.</p>
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<p>Results of the tensile tests of ESD-ABS, ESD-PLA, ESD-TPU, and ESD-Onyx.</p>
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<p>Results of three-point bending tests of all tested materials.</p>
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<p>Experimental data from the Shore D hardness and Charpy Impact tests for all tested materials.</p>
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<p>(<b>a</b>) Resistance, standard travel for an ESD-ABS specimen with 100 µm layer height, the maximums were marked with black dots. (<b>b</b>) Maximum resistance, standard travel for the same specimen. The black dots indicate the maxima per cycle and the line indicates the fitted curve.</p>
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<p>Standard force and electrical resistance in elongation curve in case of the ESD-TPU specimen with 200 µm layer height. Dashed lines indicate the boundaries of the sections for the different gauge factors, and the percentage values show these elongation limits.</p>
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<p>Tensile force and electric resistance as a function of time in the case of ESD-TPU specimen with 200 µm layer height.</p>
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<p>Temperature–electrical resistance relationship for an ESD-ABS specimen with 200 µm layer height. (<b>a</b>) First day measurement and (<b>b</b>) repeated, second day measurement.</p>
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<p>Temperature–electrical resistance relationship for an ESD-TPU specimen with 200 µm layer height. (<b>a</b>) First measurement and (<b>b</b>) repeated, second measurement.</p>
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<p>Resistance during flexural test in the case of the ABS-ESD-ABS mixed specimen.</p>
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<p>Resistance during flexural test in the case of TPU-ESD-TPU mixed specimen.</p>
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<p>Bode plots with attenuation and standard deviation. ESD-PLA (<b>a</b>), ESD-ABS (<b>b</b>), ESD-TPU (<b>c</b>), and ESD-Onyx (<b>d</b>).</p>
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<p>SEM images of the fracture surface of (<b>a</b>) ESD-PLA, (<b>b</b>) ESD-ABS at 15,000× magnification (scale bar is 1 µm). The black dashed ellipses indicate the carbon black granules and black dashed rectangles show the carbon nanotubes.</p>
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<p>SEM image of the fracture surface of ESD-TPU at 100× magnification.</p>
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<p>Fracture surface of ESD-Onyx material at 250× magnification. The black dashed ellipses indicate micro carbon fibres, and arrows show holes on the surface.</p>
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<p>Light microscopic images of A549 cell lines following a 48 h incubation in the presence of various 3D printed materials (magnification: 20×, scale bar: 50 µm).</p>
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<p>Quantification of the living cell number after 48 h incubation of A549 cells in the presence of various 3D-printed inserts (statistical analysis was performed in GraphPad 9 software, using one-way ANOVA with Kolmogorov–Smirnov normality test, n = 9, error bars represent SD, significance levels were labelled according to the following: <span class="html-italic">p</span> &lt; 0.0001 (****) "ns" indicates that the bias was not significant.</p>
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13 pages, 4242 KiB  
Article
Alkylated MXene–Carbon Nanotube/Microfiber Composite Material with Flexible, Superhydrophobic, and Sensing Properties
by Siyu Wang, Dawei Xia, Xinyu Xu, Haoyang Song and Yongquan Qing
Materials 2024, 17(18), 4499; https://doi.org/10.3390/ma17184499 - 13 Sep 2024
Abstract
Superhydrophobic strain sensors are highly promising for human motion and health monitoring in wet environments. However, the introduction of superhydrophobicity inevitably alters the mechanical and conductive properties of these sensors, affecting sensing performance and limiting behavior monitoring. Here, we developed an alkylated MXene–carbon [...] Read more.
Superhydrophobic strain sensors are highly promising for human motion and health monitoring in wet environments. However, the introduction of superhydrophobicity inevitably alters the mechanical and conductive properties of these sensors, affecting sensing performance and limiting behavior monitoring. Here, we developed an alkylated MXene–carbon nanotube/microfiber composite material (AMNCM) that is simultaneously flexible, superhydrophobic, and senses properties. Comprising a commercially available fabric substrate that is coated with a functional network of alkylated MXene/multi-walled carbon nanotubes and epoxy–silicone oligomers, the AMNCM offers high mechanical and chemical robustness, maintaining high conductivity and strain sensing properties. Furthermore, the AMNCM strain sensor achieves a gauge factor of up to 51.68 within a strain range of 80–100%, and exhibits rapid response times (125 ms) and long-term stability under cyclic stretching, while also displaying superior direct/indirect anti-fouling capabilities. These properties position the AMNCM as a promising candidate for next-generation wearable devices designed for advanced environmental interactions and human activity monitoring. Full article
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<p>(<b>a</b>) Design strategies for AMNCM. (<b>b</b>) Reaction mechanism illustration for the formation of the AMNCM.</p>
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<p>SEM images of (<b>a</b>) original fabric and (<b>b</b>–<b>d</b>) AMNCM surface at different magnifications. (<b>e</b>) Elemental mappings of main elements C, O, Si, and Cl on the AMNCM surface.</p>
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<p>LSCM topographical images of (<b>a</b>) original fabric and (<b>b</b>) AMNCM surface.</p>
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<p>(<b>a</b>) FTIR spectra of OTS–MXene and MXene. (<b>b</b>) XPS survey spectra, (<b>c</b>) C1s, (<b>d</b>) O1s, and (<b>e</b>) Si2p high-resolution XPS spectra of the AMNCM surface.</p>
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<p>(<b>a</b>) Schematic illustration of sandpaper abrasion test experimental setup. (<b>b</b>) Change in the contact angle and sliding angle with mechanical abrasion lengths for AMNCM. (<b>c</b>) Image of AMNCM wettability before and after sewage washing. (<b>d</b>) Image of the AMNCM wettability after finger wiping, tape peeling, and knife scratching. Image of wettability of the AMNCM after (<b>e</b>) water impact, (<b>f</b>) stretching, and (<b>g</b>) bending kink. (<b>h</b>) Effect of outdoor exposure time on the stability of the AMNCM. (<b>i</b>) The wetting state of water, acid, alkali, and salt on the AMNCM surface. (<b>j</b>) CA and SA of droplets with different pH values on the AMNCM surface.</p>
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<p>(<b>a</b>) Different types of liquid droplets with spherical shapes on coating surface, namely red-dyed water, Coca-Cola, orange juice, peanut dew, coffee, and mango juice. (<b>b</b>) The CAs and SAs of different droplets on the AMNCM surface. (<b>c</b>) Photo of acid, Coca-Cola, and milk being poured onto the AMNCM surface. Self-cleaning ability of the AMNCM against (<b>d</b>) soil and (<b>e</b>) white contaminants.</p>
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<p>(<b>a</b>) Resistance response of the AMNCM strain sensor at different strain regions. (<b>b</b>) Relative resistance variation of the AMNCM strain sensor under various stretching/releasing conditions. (<b>c</b>) Periodic strain sensing behavior of the AMNCM strain sensor with different frequencies. (<b>d</b>) Response time of the AMNCM strain sensor. (<b>e</b>) Long-term strain sensing performance of the AMNCM strain sensor under 3000 stretching and releasing cycles (20% strain). Human behavior monitoring map of the AMNCM strain sensor for (<b>f</b>) finger bending changes and (<b>g</b>) resistance changes at different bending angles.</p>
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14 pages, 11748 KiB  
Article
Crack-Based Composite Flexible Sensor with Superhydrophobicity to Detect Strain and Vibration
by Yazhou Zhang, Huansheng Wu, Linpeng Liu, Yang Yang, Changchao Zhang and Ji’an Duan
Polymers 2024, 16(17), 2535; https://doi.org/10.3390/polym16172535 - 7 Sep 2024
Abstract
Vibration sensors are widely applied in the detection of faults and analysis of operational states in engineering machinery and equipment. However, commercial vibration sensors with a feature of high hardness hinder their usage in some practical applications where the measured objects have irregular [...] Read more.
Vibration sensors are widely applied in the detection of faults and analysis of operational states in engineering machinery and equipment. However, commercial vibration sensors with a feature of high hardness hinder their usage in some practical applications where the measured objects have irregular surfaces that are difficult to install. Moreover, as the operating environments of machinery become increasingly complex, there is a growing demand for sensors capable of working in wet and humid conditions. Here, we present a flexible, superhydrophobic vibration sensor with parallel microcracks. The sensor is fabricated using a femtosecond laser direct writing ablation strategy to create the parallel cracks on a PDMS film, followed by spray-coating with a conductive ink composed of MWCNTs, CB, and PDMS. The results demonstrate that the developed flexible sensor exhibits a high-frequency response of up to 2000 Hz, a high acceleration response of up to 100 m/s2, a water contact angle as high as 159.61°, and a linearity of 0.9812 between the voltage signal and acceleration. The results indicate that the sensor can be employed for underwater vibration, sound recognition, and vibration monitoring in fields such as shield cutters, holding significant potential for mechanical equipment vibration monitoring and speech-based human–machine interaction. Full article
(This article belongs to the Section Polymer Composites and Nanocomposites)
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<p>Preparation of the conductive ink and flexible vibration sensor. (<b>a</b>) Fabrication process of the conductive ink composed of PDMS, CNTs, CBs, and ethyl acetate. (<b>b</b>) Structural and conductive layer fabrication of the vibration sensor. (<b>c</b>) Schematic diagram showing the architecture of the vibration sensor. (<b>d</b>) Optical images of the vibration sensor under different mechanical loads, showing the flexibility of the sensor.</p>
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<p>The sensing mechanism and optical surface images of the sensor, as well as the hydrophobic performance. (<b>a</b>) Sensing mechanism of the sensor under vibrations. (<b>b</b>) Optical images of the sensor’s surface obtained from an ultra-depth three-dimensional microscope. (<b>c</b>) Contact angles of the sensor when different liquids (water, tea, milk, and cola) drop on the sensor’s surface. (<b>d</b>) Water contact angles of the sensor after being subjected to different vibration cycles.</p>
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<p>The response of the flexible sensor to vibrations. (<b>a</b>) Original signals from the sensor under an applied periodic vibration with a frequency of 2000 Hz. Inset: FFT analysis of the original signals, showing a dominant frequency of 2000 Hz. (<b>b</b>) Amplified view of the signal from 0.1 s to 0.105 s in (<b>a</b>). (<b>c</b>) Voltage change of the sensor over time after filtering noise from the original signal in (<b>a</b>). (<b>d</b>) Original signals from the sensor under an applied periodic vibration with a frequency of 100 Hz. Inset: FFT analysis of the original signals, showing a dominant frequency of 100 Hz. (<b>e</b>) Amplified view of the signal from 0.40 s to 0.50 s in (<b>d</b>). (<b>f</b>) Voltage change of the sensor over time after smoothing from the original signal in (<b>d</b>). (<b>g</b>) Real-time response of the sensor to vibrations with different waveforms at a frequency of 100 Hz. (<b>h</b>) Signal output of the sensor under an applied periodic vibration with a frequency of 500 Hz, recording the sensor’s responses of 15,000 cycles within a duration of 30 s. Insets: partially magnified curves for different time stages.</p>
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<p>The response of the vibration sensor to tensile strain and underwater vibration. (<b>a</b>) Sensitivity and linearity of the sensor to tensile strain. (<b>b</b>) Response/recover time of the sensor at 10% strain. (<b>c</b>) Signal output of the sensor for 1000 cycles to the tensile strain of 10%. (<b>d</b>) Electrical response of the three sensors to vibration with a frequency of 100 Hz and an acceleration of 5 m/s<sup>2</sup> in air and underwater, respectively. (<b>e</b>) Electrical response of the three sensors to vibration with a frequency of 300 Hz and an acceleration of 20 m/s<sup>2</sup> in air and underwater, respectively. (<b>f</b>) Electrical response of the three sensors to vibration with a frequency of 900 Hz and an acceleration of 100 m/s<sup>2</sup> in air and underwater, respectively. (<b>g</b>) Relative voltage changes of the sensor under vibrations at a fixed frequency of 100 Hz but different accelerations at 5, 10, 15, 20, 25, 30, 35, and 40 m/s<sup>2</sup>, respectively. (<b>h</b>) Relationship between the sensor’s voltage response and acceleration under vibrations at a fixed frequency of 100 Hz.</p>
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<p>Vibration monitoring and speech recognition performance of the developed sensor. (<b>a</b>) Optical image of the flexible sensor installed on the surface of a speaker. (<b>b</b>) Output response signals of the sensor when the speaker played a sentence twice and the spectrogram analysis for the recorded electric signals. (<b>c</b>) Voltage responses of the sensor to vibrations generated from the speaker which played four letters in turn. (<b>d</b>) Voltage responses of the vibration sensor to three utterances, including the monosyllabic word “one”, the disyllabic word “sensor”, and the polysyllabic word “sensitivity”. (<b>e</b>) Voltage responses of the commercial accelerometers to three utterances, including the monosyllabic word “one”, the disyllabic word “sensor”, and the polysyllabic word “sensitivity”.</p>
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<p>Vibration monitoring and analysis for the shield machine cutter head when fracturing a rock. (<b>a</b>) Optical image of the shield machine cutter head’s testing platform and the installation of the vibration monitoring system. (<b>b</b>) Real-time voltage signals output from the flexible vibration sensor during the rock fracturing process. (<b>c</b>) An enlarged view from (<b>b</b>) at the stage when the disc cutter contacts with the rock. (<b>d</b>) An enlarged view from (<b>b</b>) at the stage when the disc cutter begins to fracture the rock. Each peak shows the positions where the rock is cracked thoroughly. (<b>e</b>) An enlarged view from (<b>b</b>) at the stage when the disc cutter is retracted.</p>
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13 pages, 6005 KiB  
Article
Facile One-Pot Preparation of Polypyrrole-Incorporated Conductive Hydrogels for Human Motion Sensing
by Zunhui Zhao, Jiahao Liu, Jun Lv, Bo Liu, Na Li and Hangyu Zhang
Sensors 2024, 24(17), 5814; https://doi.org/10.3390/s24175814 - 7 Sep 2024
Abstract
Conductive hydrogels have been widely used in soft robotics, as well as skin-attached and implantable bioelectronic devices. Among the candidates of conductive fillers, conductive polymers have become popular due to their intrinsic conductivity, high biocompatibility, and mechanical flexibility. However, it is still a [...] Read more.
Conductive hydrogels have been widely used in soft robotics, as well as skin-attached and implantable bioelectronic devices. Among the candidates of conductive fillers, conductive polymers have become popular due to their intrinsic conductivity, high biocompatibility, and mechanical flexibility. However, it is still a challenge to construct conductive polymer-incorporated hydrogels with a good performance using a facile method. Herein, we present a simple method for the one-pot preparation of conductive polymer-incorporated hydrogels involving rapid photocuring of the hydrogel template followed by slow in situ polymerization of pyrrole. Due to the use of a milder oxidant, hydrogen peroxide, for polypyrrole synthesis, the photocuring of the hydrogel template and the growing of polypyrrole proceeded in an orderly manner, making it possible to prepare conductive polymer-incorporated hydrogels in one pot. The preparation process is facile and extensible. Moreover, the obtained hydrogels exhibit a series of properties suitable for biomedical strain sensors, including good conductivity (2.49 mS/cm), high stretchability (>200%), and a low Young’s modulus (~30 kPa) that is compatible with human skin. Full article
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<p>Schematic diagram for the preparation process of the CPHs through the one-pot method.</p>
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<p>Various interactions among components of the PPy/PA/PSBMA hydrogel.</p>
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<p>UV–Vis spectra of PPy/PA/PSBMA hydrogel during PPy polymerization.</p>
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<p>FT-IR and XPS spectra of the hydrogels. (<b>a</b>) FT-IR spectra of the PSBMA hydrogel, PA/PSBMA hydrogel, and PPy/PA/PSBMA hydrogel. (<b>b</b>) XPS spectra of the PPy/PA/PSBMA hydrogel. (<b>c</b>) Magnified spectra of the N1s area.</p>
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<p>The tensile stress and strain curves of the PPy/PA/PSBMA hydrogels with different cross-linking degrees.</p>
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<p>Sensing performance of the PPy/PA/PSBMA hydrogel as a strain sensor. (<b>a</b>) Electrical resistance and strain curves. The original data is represented by a blue line and the linear-fitted curve is represented by a red dashed line. (<b>b</b>) The response and recovery times of the hydrogel. (<b>c</b>) Real-time response curve measured at variable strains. (<b>d</b>) Real-time response curve measured at changeable frequencies. (<b>e</b>) Cycling durability of the hydrogel strain sensor.</p>
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<p>Application of the PPy/PA/PSBMA hydrogel for motion detection. The hydrogel could be used to monitor the movements of the (<b>a</b>) neck, (<b>b</b>) knees, (<b>c</b>) ankles, (<b>d</b>) wrists, and (<b>e</b>) the variations in gesture.</p>
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<p>Trials of the hydrogel fabrication using different materials through the one-pot preparation method. (<b>a</b>) PPy/PA/PAAm. (<b>b</b>) PPy/PA/PAA. (<b>c</b>) PPy/PA/P (AAm-co-AA). (<b>d</b>) PPy/PA/PHEMA. (<b>e</b>) PPy/PA/PSBMA-APS. (<b>f</b>) PANI/PA/PSBMA.</p>
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18 pages, 27165 KiB  
Article
High-Performance Flexible Sensor with Sensitive Strain/Magnetic Dual-Mode Sensing Characteristics Based on Sodium Alginate and Carboxymethyl Cellulose
by Chong Liu, Longwang Yue, Yu Fu, Zhenshuai Wan, Li Wang, Yangke Wei and Sha Li
Gels 2024, 10(9), 555; https://doi.org/10.3390/gels10090555 - 27 Aug 2024
Viewed by 311
Abstract
Flexible sensors can measure various stimuli owing to their exceptional flexibility, stretchability, and electrical properties. However, the integration of multiple stimuli into a single sensor for measurement is challenging. To address this issue, the sensor developed in this study utilizes the natural biopolymers [...] Read more.
Flexible sensors can measure various stimuli owing to their exceptional flexibility, stretchability, and electrical properties. However, the integration of multiple stimuli into a single sensor for measurement is challenging. To address this issue, the sensor developed in this study utilizes the natural biopolymers sodium alginate and carboxymethyl cellulose to construct a dual interpenetrating network, This results in a flexible porous sponge that exhibits a dual-modal response to strain and magnetic stimulation. The dual-mode flexible sensor achieved a maximum tensile strength of 429 kPa and elongation at break of 24.7%. It also exhibited rapid response times and reliable stability under both strain and magnetic stimuli. The porous foam sensor is intended for use as a wearable electronic device for monitoring joint movements of the body. It provides a swift and stable sensing response to mechanical stimuli arising from joint activities, such as stretching, compression, and bending. Furthermore, the sensor generates opposing response signals to strain and magnetic stimulation, enabling real-time decoupling of different stimuli. This study employed a simple and environmentally friendly manufacturing method for the dual-modal flexible sensor. Because of its remarkable performance, it has significant potential for application in smart wearable electronics and artificial electroskins. Full article
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<p>(<b>a</b>) Schematic of the fabrication process for SA/CMC porous sponges. Principles of (<b>b</b>) biological crosslinking reaction and (<b>c</b>) chelation reaction.</p>
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<p>(<b>a</b>) S4 sponge placed on plush. (<b>b</b>) Deformation test on S4 sponge. (<b>c</b>–<b>e</b>) SEM images of S4 sponge at different magnifications.</p>
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<p>Microstructure images of SA/CMC samples at different magnifications of (<b>a</b>,<b>b</b>) S1, (<b>c</b>,<b>d</b>) S2, (<b>e</b>,<b>f</b>) S3, (<b>g</b>,<b>h</b>) S4, (<b>i</b>,<b>j</b>) S5, (<b>k</b>) pore diameters of S4, (<b>l</b>) pore diameters of S3.</p>
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<p>(<b>a</b>) SEM image of the sponge sample. (<b>b</b>–<b>d</b>) Elemental mapping images of sponge samples.</p>
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<p>(<b>a</b>) FTIR spectra of various SA/CMC porous sponges. (<b>b</b>) XRD pattern of various SA/CMC porous sponges.</p>
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<p>(<b>a</b>) XPS survey spectra of S4 and S9. (<b>b</b>) Fe 2p, (<b>c</b>) C 1s, (<b>d</b>) Ca 2p, and (<b>e</b>) Na 1s spectra.</p>
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<p>Microstructure images of different SA/CMC samples. (<b>a</b>) S6. (<b>b</b>) S4. (<b>c</b>) S7. (<b>d</b>) S8.</p>
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<p>(<b>a</b>,<b>b</b>) TG and DTG curves of SA/CMC samples with different glycerol content.</p>
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<p>(<b>a</b>) Tensile stress–strain curves for different SA/CMC samples. (<b>b</b>) Modulus of elasticity and elongation at break of different SA/CMC samples.</p>
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<p>(<b>a</b>) Photographs of various SA/CMC samples before and after water absorption. (<b>b</b>,<b>c</b>) Weight and water absorption ratio <span class="html-italic">Rw</span> for various samples, respectively.</p>
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<p>Response of flexible sensor S4 to strain stimuli. (<b>a</b>) Relative resistance variation as a function of tensile strain for different SA/CMC sponges. Photographs and relative resistance variation, along with the time of the S4 sponge sensor excited by (<b>b</b>) finger bending, (<b>c</b>) finger compression, and (<b>d</b>) vamp bending. (<b>e</b>) Long-term durability evaluation of the SA/CMC sensor under 1000 loading–unloading cycles at 20° bending strain.</p>
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<p>Response of the flexible sensor S4 to a magnetic field. (<b>a</b>) Bending angle of the S4 sensor under different magnetic fields. (<b>b</b>) Bending angle–magnetic field curves of the S4 sensor. (<b>c</b>) Relative resistance–magnetic field curves of three different S4 sensors. (<b>d</b>) <math display="inline"><semantics> <mrow> <mo>|</mo> <mo>∆</mo> <mi>R</mi> <mo>/</mo> <msub> <mrow> <mi>R</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> <mo>|</mo> <mo> </mo> </mrow> </semantics></math> of S4 sensors under different magnetic fields for 10 cycles, and (<b>e</b>) long-term durability evaluation of the SA/CMC sensor during 500 cycles under 100 mT.</p>
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<p>Sensing mechanisms of SA/CMC porous sponge sensors under external magnetic field, tension, bending, and compression stimuli.</p>
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29 pages, 8659 KiB  
Review
Cutting-Edge Perovskite-Based Flexible Pressure Sensors Made Possible by Piezoelectric Innovation
by Adeela Naz, Yuan Meng, Jingjing Luo, Imtiaz Ahmad Khan, Rimsha Abbas, Suzhu Yu and Jun Wei
Materials 2024, 17(17), 4196; https://doi.org/10.3390/ma17174196 - 24 Aug 2024
Viewed by 1184
Abstract
In the area of flexible electronics, pressure sensors are a widely utilized variety of flexible electronics that are both indispensable and prevalent. The importance of pressure sensors in various fields is currently increasing, leading to the exploration of materials with unique structural and [...] Read more.
In the area of flexible electronics, pressure sensors are a widely utilized variety of flexible electronics that are both indispensable and prevalent. The importance of pressure sensors in various fields is currently increasing, leading to the exploration of materials with unique structural and piezoelectric properties. Perovskite-based materials are ideal for use as flexible pressure sensors (FPSs) due to their flexibility, chemical composition, strain tolerance, high piezoelectric and piezoresistive properties, and potential integration with other technologies. This article presents a comprehensive study of perovskite-based materials used in FPSs and discusses their components, performance, and applications in detecting human movement, electronic skin, and wireless monitoring. This work also discusses challenges like material instability, durability, and toxicity, the limited widespread application due to environmental factors and toxicity concerns, and complex fabrication and future directions for perovskite-based FPSs, providing valuable insights for researchers in structural health monitoring, physical health monitoring, and industrial applications. Full article
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<p>A comprehensive view of the current research on flexible pressure sensors.</p>
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<p>Schematic illustration of four common transduction mechanisms: (<b>a</b>) piezoresistive, (<b>b</b>) capacitive, (<b>c</b>) piezoelectric and (<b>d</b>) triboelectric.</p>
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<p>Presentation of the (<b>a</b>) d<sub>33</sub> and Curie temperature of PZT-based, (<b>b</b>) lead-based, (<b>c</b>) and lead-free ceramics, sourced from several publications. (Reprinted with the permission from [<a href="#B127-materials-17-04196" class="html-bibr">127</a>]. copyright 2015, American Chemical Society.) (<b>d</b>) Graph showing the d<sub>33</sub>* for BFO—xBTO (x = 0.30 and 0.33), analysis of temperature stability, and the d<sub>33</sub>* of lead-free BFBT ceramics. (Reprinted with permission from [<a href="#B111-materials-17-04196" class="html-bibr">111</a>]. copyright 2023, Materials Science &amp; Technology).</p>
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<p>(<b>a</b>) Diagram showing the steps involved in creating PVDF-BTO electrospun fibers using electrospinning. (<b>b</b>) Diagrammatic representation of the flexible pressure sensor assembly with single- and double-sided microstructures. (<b>c</b>) Comparing the sensitivity of sensors using fibers with varying BTO ratios and double-layer microcylinders (DLC) as a dielectric layer and (<b>d</b>) with DLC-BTO fibers at different pressures of 0–5, 5–7.5, and 7.5–40 kPa. (Reprinted with permission from [<a href="#B128-materials-17-04196" class="html-bibr">128</a>]. copyright 2022, Measurement). Fully integrating nanometer-thick perovskite with a mechanoluminescence (ML) device results in a robust, flexible, and self-powered mechanoluminescent perovskite pressure sensor. (<b>e</b>) Current reaction to pressures applied to the sensor. (<b>f</b>) Time-varying sensor response. (<b>g</b>) The bending for ten cycles. (<b>h</b>) Sensor response as a result of cyclic bending tests; an enhancement of the sensor signal at a 200–250 s range is displayed in the inset. (Reprinted with the permission from [<a href="#B129-materials-17-04196" class="html-bibr">129</a>]. copyright 2020, ACS Applied Nano Materials).</p>
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<p>(<b>a</b>) Illustration device structure of FPPSs; (<b>b</b>,<b>c</b>) SbNSs/BTO/PVDF-TrFE (SBP) composite-fiber short-circuit currents, voltages, and dynamic force compressive pressures at 2 Hz; (<b>d</b>) Output currents vs. voltages according to the applied pressure; (<b>e</b>) Output stability of FPPS-SbNSs doped in 2Hz and BTO doped in 128 kPa. (Reprinted with permission from [<a href="#B130-materials-17-04196" class="html-bibr">130</a>]. copyright 2023, Advanced Electronic Materials.) (<b>f</b>) Sensor view with PET film by using screen-printed technquie. (<b>g</b>,<b>h</b>) Current reactions to piezoelectric and pyroelectric stimulation following AC poling with a field amplitude that compensates for the pyroelectric or piezoelectric responses. (Reprinted with permission from [<a href="#B131-materials-17-04196" class="html-bibr">131</a>]. copyright 2020, ACS Applied Materials and Interfaces).</p>
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<p>(<b>a</b>) CsPbI<sub>3</sub>/rGO/P(VDF-TrFE) film precursor solution preparation. (<b>b</b>) Fabrication of a flexible sensor. (<b>c</b>) CsPbI<sub>3</sub>/rGO/P(VDF-TrFE) flexible pressure sensor output currents at varying impact forces. (<b>d</b>) Pressure sensor stability at different temperatures after 1 h. (<b>e</b>) Pressure sensor stability in water, sodium hydroxide, and sulfuric acid after 48 h. (Reprinted with the permission from [<a href="#B132-materials-17-04196" class="html-bibr">132</a>] copyright 2022. Physica B: Condensed Matter). (<b>f</b>) Diagram of a PVDF/rGO/BTO-based pressure sensor for flexible electronic skin (FES), displaying its multi-layered structure and characteristics. (<b>g</b>) The FES under curling conditions. (<b>h</b>) The sensitivity of the FES. (<b>i</b>) The response time. (Reprinted with permission from [<a href="#B133-materials-17-04196" class="html-bibr">133</a>]. copyright 2021, Organic Electronics).</p>
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<p>(<b>a</b>) Poly(vinylidene-hexafluoropropylene) P(VDF-HFP) composite-fiber preparation technology. (<b>b</b>) Sensitivity of multilayered composite fibers. (<b>c</b>) Three-layer gradient composite film output voltage under different forces. (<b>d</b>) Different angles of bending. (<b>e</b>,<b>f</b>) Three-layer gradient composite film output voltage recovery time and response time. (<b>g</b>) Examination the response time of different materials from other studies. (Reprinted with permission from [<a href="#B134-materials-17-04196" class="html-bibr">134</a>]. copyright 2023, Diamond and Related Materials).</p>
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<p>Schematic presentation of printing techniques. (<b>a</b>) Direct ink writing. (<b>b</b>) Ink jet printing. (<b>c</b>) Screen printing. (<b>d</b>) Aerosol jet printing. (<b>e</b>) Spray coating process. (<b>f</b>) Spin coating process. (<b>g</b>) Working principle of the magnetron-sputtering deposition process. (<b>h</b>) Process of photolithography. (<b>i</b>) Laser beam machining setup.</p>
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<p>Assessment of techniques to fabricate FPSs [<a href="#B147-materials-17-04196" class="html-bibr">147</a>,<a href="#B148-materials-17-04196" class="html-bibr">148</a>].</p>
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<p>Flexible SSTO-nanofiber-based sensors are used to measure the following: (<b>a</b>) notebook bending; (<b>b</b>) finger bending, (<b>c</b>) wrist bending, (<b>d</b>) the radial pulse, (<b>e</b>) throat swallowing, (<b>f</b>) nose breathing. (Reprinted with permission from [<a href="#B151-materials-17-04196" class="html-bibr">151</a>]. copyright 2021, ACS Applied Materials &amp; Interfaces). (<b>g</b>) The PDA@BTO/PVDF piezoelectric flexible pressure sensor integrated into shoes, and the output voltages produced by (<b>h</b>) jumping, (<b>i</b>) walking, and (<b>j</b>) running. (Reprinted with permission from [<a href="#B152-materials-17-04196" class="html-bibr">152</a>]. copyright 2020, Sensors and Actuators A: Physical). The application of a PU-BTO-rGO flexible pressure sensor for calculating motion by (<b>k</b>) touching with a finger, (<b>l</b>) wrist bending, and (<b>m</b>) elbow bending. (Reprinted with permission from [<a href="#B153-materials-17-04196" class="html-bibr">153</a>]. copyright 2023, Diamond and Related Materials).</p>
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<p>The use of the BTO/MXene/PVDF-TrFE flexible pressure sensor to detect human motion monitoring of the (<b>a</b>–<b>f</b>) index-finger release voltage, finger flex–release, elbow flex–release, walking, running, and jumping, respectively. (Reprinted with permission from [<a href="#B135-materials-17-04196" class="html-bibr">135</a>] Copyright 2023, Materials Chemistry C).</p>
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<p>Applications of intelligent sensing: (<b>a</b>) System flow recognition. (<b>b</b>) Homemade circuit-system operating schematic. (<b>c</b>,<b>d</b>) Software interface, the wireless transmitted module, and circuit module. (<b>e</b>) Collection of the signal in the software interface. (<b>f</b>) Assessment of storage reliability. (Reprinted with from permission [<a href="#B155-materials-17-04196" class="html-bibr">155</a>]. copyright 2023, Nano Research).</p>
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<p>(<b>a</b>) The experimental configuration for the EC10S + PNy 11 TES human activity measurement. (<b>b</b>) The sensor sensitivity. (<b>c</b>) Sensing performance such as twisting, tapping, bending, and folding, and (<b>d</b>,<b>e</b>) When the sensor serves as a wrist band or finger ring. (<b>f</b>) The intensity of sound when the sensor is attached to the neckband. (<b>g</b>,<b>h</b>) Detecting and distinguishing between motions such as kicking, walking, and jumping. (<b>i</b>) Identifying the sleeping posture when the sensor is fixed to the edge of bed. (<b>j</b>) Applications for smart chairs in healthcare. (Reprinted with permission from [<a href="#B157-materials-17-04196" class="html-bibr">157</a>]. copyright 2023, Nano Energy).</p>
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16 pages, 4528 KiB  
Article
Data-Driven Strain Sensor Design Based on a Knowledge Graph Framework
by Junmin Ke, Furong Liu, Guofeng Xu and Ming Liu
Sensors 2024, 24(17), 5484; https://doi.org/10.3390/s24175484 - 24 Aug 2024
Viewed by 305
Abstract
Wearable flexible strain sensors require different performance depending on the application scenario. However, developing strain sensors based solely on experiments is time-consuming and often produces suboptimal results. This study utilized sensor knowledge to reduce knowledge redundancy and explore designs. A framework combining knowledge [...] Read more.
Wearable flexible strain sensors require different performance depending on the application scenario. However, developing strain sensors based solely on experiments is time-consuming and often produces suboptimal results. This study utilized sensor knowledge to reduce knowledge redundancy and explore designs. A framework combining knowledge graphs and graph representational learning methods was proposed to identify targeted performance, decipher hidden information, and discover new designs. Unlike process-parameter-based machine learning methods, it used the relationship as semantic features to improve prediction precision (up to 0.81). Based on the proposed framework, a strain sensor was designed and tested, demonstrating a wide strain range (300%) and closely matching predicted performance. This predicted sensor performance outperforms similar materials. Overall, the present work is favorable to design constraints and paves the way for the long-awaited implementation of text-mining-based knowledge management for sensor systems, which will facilitate the intelligent sensor design process. Full article
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<p>Illustration of a KGAI architecture developed with three procedures for (<b>a</b>) knowledge graph building of strain sensors, (<b>b</b>) representation learning of the knowledge graph (feature engineering), (<b>c</b>) knowledge reasoning of sensor design (performance prediction, sensor design query, and exploration).</p>
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<p>The evaluation of the KGAI method. (<b>a</b>,<b>b</b>) Values of MRR and Hit@n metrics of knowledge graph construction. (<b>c</b>,<b>d</b>) Cluster atlas of different combinations of representation methods (improved method with considering the correlation between functional materials and hole method without considering the correlation between functional materials) via unsupervised learning after dimensionality reduction. (<b>e</b>) The heat map of functional materials and flexible matrix. The colors scale with the values of the cosine similarity between embeddings. The dark color of the squares means a strong correlation. (<b>f</b>) The value of false positive (value = 1, wrong prediction in database) and true negative of designs (value = 3, undetected designs in database).</p>
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<p>(<b>a</b>) The design process of the whole method. (<b>b</b>) The indicators (Precision, Accuracy, and Recall) of three methods for classification tasks by 10-fold cross-validation. (<b>c</b>) The indicators of the MLP method in ten different test datasets. (<b>d</b>,<b>e</b>) The predicted labels and true labels of train and test samples (one and four misclassified samples, respectively).</p>
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<p>(<b>a</b>) The indicators of the XGB and MLP method for performance prediction. (<b>b</b>) The mean absolute error of 10-fold cross-validation of the test dataset. (<b>c</b>) The model prediction value and the true value for train samples. The line represents a prediction formula for the strain range. (<b>d</b>) The model prediction and the true value of test samples for strain range. (<b>e</b>,<b>f</b>) Evaluations of the design prediction. (<b>e</b>) The error prediction performance of the traditional method (only using the text feature without the correlation) and our KGAI method (using the graph feature containing the text feature and relationship feature) in the training process. (<b>f</b>) The error prediction performance of the traditional method and our KGAI method on the test dataset.</p>
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<p>The trend of flexible substrate (PDMS) in the knowledge graph. (<b>a</b>) The sensor performance of strain range and gauge factor. (<b>b</b>) The trend of gauge factor under different structures of PDMS.</p>
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<p>Photographs of the film showing excellent flexibility when (<b>a</b>) twisted, (<b>b</b>) bent, and (<b>c</b>,<b>d</b>) stretched. (<b>e</b>,<b>f</b>) Top views of the composite film under the SEM observation with different scales (5 μm and 1 μm).</p>
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<p>Main metrics of the strain sensor. (<b>a</b>) The stress under different strain ranges. (<b>b</b>) The relative resistance–strain variation curves and stress–strain curves of strain sensors. (<b>c</b>) The durability of the sensor. The insert pictures are the subgraph of the cycle (800–806) and response/recovery times of the sensor. (<b>d</b>,<b>e</b>) The three cycles of the stretching process with a tensile rate of 40 mm/min and 20 mm/min, respectively. (<b>f</b>) The cycle stability of relative resistances under different strains (35%, 45%, and 80%).</p>
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<p>Applications of the strain sensor to detect human motions. (<b>a</b>,<b>b</b>) Motions of swallowing and speaking. (<b>c</b>) The resistance changes with the bending of the hand. (<b>d</b>) The resistance changes of knee motions (standing and sitting state).</p>
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14 pages, 4480 KiB  
Article
Nacre-like Anisotropic Multifunctional Aramid Nanofiber Composites for Electromagnetic Interference Shielding, Thermal Management, and Strain Sensing
by Jin Dong, Jing Lin, Hebai Zhang, Jun Wang, Ye Li, Kelin Pan, Haichen Zhang and Dechao Hu
Molecules 2024, 29(17), 4000; https://doi.org/10.3390/molecules29174000 - 23 Aug 2024
Viewed by 410
Abstract
Developing multifunctional flexible composites with high-performance electromagnetic interference (EMI) shielding, thermal management, and sensing capacity is urgently required but challenging for next-generation smart electronic devices. Herein, novel nacre-like aramid nanofibers (ANFs)-based composite films with an anisotropic layered microstructure were prepared via vacuum-assisted filtration [...] Read more.
Developing multifunctional flexible composites with high-performance electromagnetic interference (EMI) shielding, thermal management, and sensing capacity is urgently required but challenging for next-generation smart electronic devices. Herein, novel nacre-like aramid nanofibers (ANFs)-based composite films with an anisotropic layered microstructure were prepared via vacuum-assisted filtration and hot-pressing. The formed 3D conductive skeleton enabled fast electron and phonon transport pathways in the composite films. As a result, the composite films showed a high electrical conductivity of 71.53 S/cm and an outstanding thermal conductivity of 6.4 W/m·K when the mass ratio of ANFs to MXene/AgNWs was 10:8. The excellent electrical properties and multi-layered structure endowed the composite films with superior EMI shielding performance and remarkable Joule heating performance, with a surface temperature of 78.3 °C at a voltage of 2.5 V. Additionally, it was found that the composite films also exhibited excellent mechanical properties and outstanding flame resistance. Moreover, the composite films could be further designed as strain sensors, which show great promise in monitoring real-time signals for human motion. These satisfactory results may open up a new opportunity for EMI shielding, thermal management, and sensing applications in wearable electronic devices. Full article
(This article belongs to the Special Issue Recent Advances in Functional Composite Materials)
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<p>(<b>a</b>) The fabrication process of ANFs/MXene/AgNWs composite films. (<b>b</b>) A schematic diagram of the application of ANFs/MXene/AgNWs composite films in a wearable electronic device with excellent EMI shielding, thermal management, human motion monitoring, flame retardancy, and Joule heating abilities.</p>
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<p>(<b>a</b>) Surface and (<b>b</b>,<b>c</b>) cross-section SEM images of ANFs-4 films; insert corresponds to optical photograph of ANFs-4 films with bending. (<b>d</b>–<b>g</b>) EDS mapping images of fractured surfaces of ANFs-4 films. (<b>h</b>) XRD patterns of pure ANFs and ANFs/MXene/AgNWs films.</p>
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<p>(<b>a</b>) Tensile stress–strain curves and (<b>b</b>) electrical conductivity of ANFs/MXene/AgNWs films. (<b>c</b>) Total EMI SE and (<b>d</b>) SE<sub>R</sub>, SE<sub>T</sub>, and SE<sub>A</sub> of ANFs/MXene/AgNWs films.</p>
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<p>(<b>a</b>) Thermal conductivity and (<b>b</b>) schematic diagram of heat transfer model for ANFs/MXene/AgNWs composite films. (<b>c</b>,<b>d</b>) Surface temperature response of ANFs-8 films with different supplied voltages. (<b>e</b>) Surface temperature response of ANFs-8 films during five cycles at 2 V. (<b>f</b>) Long-term durability test of ANFs-8 films at 2 V.</p>
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<p>(<b>a</b>) TGA and (<b>b</b>) DTG curves of pure ANFs and ANFs/MXene/AgNWs composite films. (<b>c</b>) Digital images of burning behaviors of ANFs/MXene/AgNWs composite films.</p>
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<p>(<b>a</b>) A diagram of the sensor attached to the finger and wrist. (<b>b</b>,<b>c</b>) The resistance response of the sensor while monitoring the bending of the finger and wrist. (<b>d</b>–<b>f</b>) The resistance response of the sensor when monitoring the pronunciation of the words can, nature, and believe. (<b>g</b>) The resistance response of the sensor over 1000 s cyclic tests under 10° bending.</p>
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19 pages, 4449 KiB  
Article
Development of an Adaptive Force Control Strategy for Soft Robotic Gripping
by Ian MacDonald and Rickey Dubay
Appl. Sci. 2024, 14(16), 7354; https://doi.org/10.3390/app14167354 - 20 Aug 2024
Viewed by 391
Abstract
Using soft materials in robotic mechanisms has become a common solution to overcome many challenges associated with the rigid bodies frequently used in robotics. Compliant mechanisms allow the robot to adapt to objects and perform a broader range of tasks, unlike rigid bodies [...] Read more.
Using soft materials in robotic mechanisms has become a common solution to overcome many challenges associated with the rigid bodies frequently used in robotics. Compliant mechanisms allow the robot to adapt to objects and perform a broader range of tasks, unlike rigid bodies that are generally designed for specific applications. However, soft robotics presents its own set of challenges in both design and implementation, particularly in sensing and control. These challenges are abundant when dealing with the force control problem of a compliant gripping mechanism. The ability to effectively regulate the applied force of a gripper is a critical task in many control operations, as it allows the precise manipulation of objects, which drives the need for enhanced force control strategies for soft or flexible grippers. Standard sensing techniques, such as motor current monitoring and strain-based sensors, add complexities and uncertainties when establishing mathematical models of soft grippers to the required gripping forces. In addition, the soft gripper creates a complex non-linear system, compounded by adding an adhesive-type sensor. This work develops a unique visual force sensor trained on synthetic data generated using finite element analysis (FEA) and implemented by integrating a non-linear model reference adaptive controller (MRAC) to control gripping force on a fixed 6-DOF robot. The robot can be placed on a mobile platform to perform various tasks. The virtual FEA sensor and controller, combined, are termed virtual reference adaptive control (VRAC). The VRAC was compared to other methods and achieved comparable control sensing and control performance while reducing the complexity of the sensor requirements and its integration. The VRAC strategy effectively controlled the gripping force by driving the dynamics to match the desired performance after a limited amount of training cycles. The controller proposed in this work was designed to be generally applicable to most objects that the gripper will interact with and easily adaptable to a wide variety of soft grippers. Full article
(This article belongs to the Special Issue Advanced Technologies in AI Mobile Robots)
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<p>Festo fin ray gripper [<a href="#B1-applsci-14-07354" class="html-bibr">1</a>].</p>
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<p>Computer vision force-sensing workflow.</p>
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<p>Gripper–camera assembly.</p>
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<p>Ansys deformation simulation using fin ray finger and 50 mm round object.</p>
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<p>Ansys deformation simulation using fin ray finger and 10 mm round object.</p>
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<p>Autoencoder structure.</p>
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<p>High-level cascaded control scheme.</p>
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<p>Model reference adaptive control for gripper force control.</p>
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<p>Binary cross-entropy loss of autoencoder training process.</p>
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<p>Fin ray with occlusions reconstructed using fin ray.</p>
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<p>Force profile for 50 mm object. (<b>a</b>) Training data capture setup with 50 mm round object; (<b>b</b>) force comparison between load cell sensor and visual sensor for 50 mm round training object.</p>
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<p>Force profile for 10 mm object. (<b>a</b>) Training data capture setup with 10 mm round object; (<b>b</b>) force comparison between load cell sensor and visual sensor for 10 mm round training object.</p>
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<p>Force profile for novel 25 mm object. (<b>a</b>) Novel 25 mm object data capture setup; (<b>b</b>) force comparison between load cell sensor and visual sensor for a novel 25 mm object.</p>
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<p>Closed-loop force control performance of MRAC controller on fin ray fingers.</p>
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<p>Evolution of controller gains.</p>
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<p>Gripping test using learned parameters found in <a href="#applsci-14-07354-f014" class="html-fig">Figure 14</a>.</p>
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10 pages, 2471 KiB  
Article
Flexible Transparent Films of Oriented Silver Nanowires for a Stretchable Strain Sensor
by Xiaoguang Wang, Chengjun Song, Yangyang Wang, Shaoxuan Feng, Dong Xu, Tingting Hao and Hongbo Xu
Materials 2024, 17(16), 4059; https://doi.org/10.3390/ma17164059 - 15 Aug 2024
Viewed by 379
Abstract
The potential applications of stretchable strain sensors in wearable electronics have garnered significant attention. However, developing susceptible stretchable strain sensors for practical applications still poses a considerable challenge. The present study introduces a stretchable strain sensor that utilizes silver nanowires (AgNWs) embedded into [...] Read more.
The potential applications of stretchable strain sensors in wearable electronics have garnered significant attention. However, developing susceptible stretchable strain sensors for practical applications still poses a considerable challenge. The present study introduces a stretchable strain sensor that utilizes silver nanowires (AgNWs) embedded into a polydimethylsiloxane (PDMS) substrate. The AgNWs have high flexibility and electrical conductivity. A stretchable AgNW/Pat-PDMS conductive film was prepared by arranging nanowires on the surface of PDMS using a simple rod coating method. Depending on the orientation angle, the overlap area between nanowires varies, resulting in different levels of separation under a given strain. Due to the separation of the nanowire and the change in current path geometry, the variation in strain resistance of the sensor can be primarily attributed to these factors. Therefore, precision in strain regulation can be adjusted by altering the angle θ (0°, 60°, or 90°) of the nanowire. At the same time, the stability of the AgNW/Pattern-PDMS (AgNW/Pat-PDMS) conductive film application was verified by preparing a sandwich structure PDMS/AgNW/Pat-PDMS stretchable strain sensor. The sensor exhibited high sensitivity within the operating sensing range (gauge factor (GF) of 15 within ~120% strain), superior durability (20,000 bending cycles and 5000 stretching cycles), and excellent response toward bending. Full article
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<p>SEM images and XRD: AgNWs (<b>a</b>,<b>b</b>); SEM images: Pat-PDMS (<b>c</b>); AgNW/Pat-PDMS ((<b>d</b>) 0°; (<b>e</b>) 60°; (<b>f</b>) 90°); yellow frames: Silver nanowires distributed at different angles.</p>
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<p>Transmittance spectra (<b>a</b>); transmittance and sheet resistance (<b>b</b>) of AgNW/PDMS, 0-AgNW/Pat-PDMS, 60-AgNW/Pat-PDMS, and 90-AgNW/Pat-PDMS films.</p>
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<p>Relative resistance changes under bending tests with 20,000 bending cycles (<b>a</b>); stretching tests with 500 cycles (<b>b</b>); different tensile strains from 20% to 100% (<b>c</b>) of AgNW/PDMS, 0-AgNW/Pat-PDMS, 60-AgNW/Pat-PDMS, and 90-AgNW/Pat-PDMS films.</p>
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<p>Sensor structure diagram (<b>a</b>); relative resistance changes under stretching tests with 100 cycles (<b>b</b>); different tensile strains from 20% to 100% (<b>c</b>); GF under different tensile strains from 40% to 120% (<b>d</b>) of 0-AgNW/Pat-PDMS, 60-AgNW/Pat-PDMS, and 90-AgNW/Pat-PDMS films; GF with tensile strains 40% of 60-AgNW/Pat-PDMS (<b>e</b>).</p>
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<p>Schematic illustration for the flexible AgNW/Pat-PDMS film fabrication process.</p>
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15 pages, 5331 KiB  
Article
Experimental Proof of Concept for Using Hybrid Paper Based on Silver Nanowires, Cellulose and Poly(dimethylsiloxane) in Systems Dynamic Analysis and Healthcare Applications
by Grzegorz Dzido, Krzysztof Piotrowski, Piotr Sakiewicz, Klaudiusz Gołombek, Sonia Bańbuła, Natalia Domagała, Martyna Ratajczak, Mateusz Kunert and Agnieszka Ignaszewska
Appl. Sci. 2024, 14(15), 6783; https://doi.org/10.3390/app14156783 - 3 Aug 2024
Viewed by 503
Abstract
The research results and evaluation of the applicability of the original composition of hybrid paper based on silver nanowires (AgNWs), cellulose pulp (CP), and carbon nanotubes (CNTs) are presented and discussed. The material tested was used to manufacture sensors for mechanical deformation resulting [...] Read more.
The research results and evaluation of the applicability of the original composition of hybrid paper based on silver nanowires (AgNWs), cellulose pulp (CP), and carbon nanotubes (CNTs) are presented and discussed. The material tested was used to manufacture sensors for mechanical deformation resulting from external influences or related to human activity interactions. The sensors were fabricated using an AgNWs + CP suspension and additives by the vacuum filtration method. The substrate obtained was machined and then laminated with a layer of poly(dimethylsiloxane) (PDMS). The recorded responses to selected types of imposed mechanical interactions in the form of changes in the relative resistance of the sensor throughout the tests showed a close cause-and-effect relationship. The response of the tested systems when applying an alternating magnetic field was also observed. The results indicate that the proposed solutions can find application in the monitoring of mechanical interactions resulting from the dynamic behavior of physical objects, as well as derived from selected human vital functions. Full article
(This article belongs to the Special Issue Nanomaterials in Medical Diagnosis and Therapy)
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<p>Examples of the original hybrid paper-based sensor fabrications for studies on: (<b>a</b>) mechanical interactions between sensor and strain forcing object, sample #2, (<b>b</b>) human vital reflexes, sample #1, (<b>c</b>) sensor—LED—DC power supply circuit connection.</p>
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<p>SEM images representing samples of: (<b>a</b>) cellulose pulp, (<b>b</b>) prepared silver nanowires, (<b>c</b>) hybrid paper cross-section, (<b>d</b>) hybrid paper coated on both sides with PDMS resin.</p>
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<p>SEM images showing: (<b>a</b>,<b>b</b>) opposite surfaces of a single sensor, (<b>c</b>) cross-section of a single sensor, (<b>d</b>) EDX of the sensor material cross-section surface.</p>
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<p>Schematic diagram of the electrical system for hybrid paper sensor research.</p>
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<p>Spectra of the synthesized silver nanowires: (<b>a</b>) XRD spectrum, (<b>b</b>) UV–Vis spectrum.</p>
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<p>Current–voltage characteristics of AgNWs-based sensors made on hybrid paper for different conductor materials concentrations.</p>
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<p>Effect of cyclic loading and unloading of sensor #1 using a 200 g weight.</p>
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<p>Response curve of periodical mechanical stimulation of sample #3 at a frequency of about 0.35 Hz. Signal sampling frequency 1000 Hz.</p>
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<p>Cyclic mechanical interaction with finger; sample #4: (<b>a</b>) first scenario, (<b>b</b>) second scenario. Signal sampling frequency of 1000 Hz.</p>
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<p>Effect of alternating strong magnetic field on sample #3.</p>
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<p>Effect of selected vital activities: (<b>a</b>) cyclic bending of the finger (sample #2), (<b>b</b>) blowing on the flat sensor (sample #5) surface by the test participant.</p>
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<p>Response curves of physiological reflexes recorded with hybrid paper-based sensor—sample #3: (<b>a</b>) lack of activity, (<b>b</b>) pronouncing consecutive letters, (<b>c</b>) swallowing, (<b>d</b>) alternating head turns.</p>
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23 pages, 6709 KiB  
Article
Polymer-Gel-Derived PbS/C Composite Nanosheets and Their Photoelectronic Response Properties Studies in the NIR
by Xingfa Ma, Xintao Zhang, Mingjun Gao, You Wang and Guang Li
Coatings 2024, 14(8), 981; https://doi.org/10.3390/coatings14080981 - 3 Aug 2024
Cited by 1 | Viewed by 583
Abstract
Non-conjugated polymer-derived functional nanocomposites are one of the important ways to develop multifunctional hybrids. By increasing the degree of crosslinking, their photophysical properties can be improved. PbS is a class of narrow bandgap infrared active materials. To avoid aggregation and passivation of the [...] Read more.
Non-conjugated polymer-derived functional nanocomposites are one of the important ways to develop multifunctional hybrids. By increasing the degree of crosslinking, their photophysical properties can be improved. PbS is a class of narrow bandgap infrared active materials. To avoid aggregation and passivation of the surface defects of PbS nanomaterials, a large number of organic and inorganic ligands are usually used. In this study, PbS/C composite nanosheets were synthesized with Pb2+ ion-crosslinked sodium alginate gel by one-pot carbonization. The resulting nanosheets were coated on untreated A4 printing paper, and the electrodes were the graphite electrodes with 5B pencil drawings. The photocurrent signals of the products were measured using typical 650, 808, 980, and 1064 nm light sources. The results showed that the photocurrent switching signals were effectively extracted in the visible and near-infrared regions, which was attributed to the mutual passivation of defects during the in situ preparation of PbS and carbon nanomaterials. At the same time, the resulting nanocomposite exhibited electrical switching responses to the applied strain to a certain extent. The photophysical and defect passivation mechanisms were discussed based on the aggregation state of the carbon hybrid and the interfacial electron interaction. This material would have potential applications in broadband flexible photodetectors, tentacle sensors, or light harvesting interdisciplinary areas. This study provided a facile approach to prepare a low-cost hybrid with external stimulus response and multifunctionality. These results show that the interfacial charge transfer is the direct experimental evidence of interfacial interaction, and the regulation of interfacial interaction can improve the physical and chemical properties of nanocomposites, which can meet the interdisciplinary application. The interdisciplinary and application of more non-conjugated polymer systems in some frontier areas will be expanded upon. Full article
(This article belongs to the Section Functional Polymer Coatings and Films)
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<p>The representative SEM image of PbS/C nanocomposite derived by polymer gel with different magnifications (5000×, 10,000×).</p>
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<p>The representative TEM image of PbS/C nanocomposite derived by polymer gel in different regions (<b>Left</b>: 60,000×; <b>Right</b>: 30,000×).</p>
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<p>The XRD results of the PbS/C composite nanosheets derived by polymer gel.</p>
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<p>The UV–VIS-NIR absorbance curve of the PbS/C composite nanosheets derived by polymer gel.</p>
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<p>The Raman spectra of the PbS/C composite nanosheets derived by polymer gel.</p>
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<p>The transient-state photocurrent responses of the PbS/C composite nanosheets derived by polymer gel to 100 mW 650 nm.</p>
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<p>The transient-state photocurrent responses of the PbS/C composite nanosheets derived by polymer gel to 200 mW 808 nm.</p>
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<p>The transient-state photocurrent responses of the PbS/C composite nanosheets derived by polymer gel to 100 mW 980 nm.</p>
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<p>The transient-state photocurrent responses of the PbS/C composite nanosheets derived by polymer gel to 20 mW 1064 nm.</p>
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<p>The comparative transient-state photocurrent responses of the PbS/C composite nanosheets derived by polymer gel containing graphene oxide nanoribbons to 650 and 980 nm light resources ((<b>A</b>) 100, 50, 5 mW 650 nm; (<b>B</b>) 100, 50, 5 mW 980 nm; (<b>C</b>) 5 mW 650 nm; (<b>D</b>) 5 mW 980 nm).</p>
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<p>The comparative transient-state photocurrent responses of the PbS/C composite nanosheets derived by polymer gel containing graphene oxide nanoribbons to 650, 808, 980, and 1064 nm ((<b>A</b>) 100 mW 650 nm; (<b>B</b>) 200 mW 808 mW; (<b>C</b>) 100 mW 980 nm; (<b>D</b>) 20 mW 1064 nm).</p>
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<p>The dependence of photocurrent responses of the PbS/C composite nanosheets derived by polymer gel on the power of excitation of 650 nm (100, 50, and 5 mW).</p>
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<p>The dependence of photocurrent responses of the PbS/C composite nanosheets derived by polymer gel on the power of excitation of 980 nm (100, 50, and 5 mW).</p>
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<p>The tentacle sensitivity of the PbS/C composite nanosheets to the compression force of a finger touch.</p>
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<p>The tentacle sensitivity of the PbS/C composite nanosheets to a compression force of about 100 g.</p>
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<p>The effects of different external forces applied (20, 50, 100 g, etc.) on the tentacle sensitivity of PbS/C composite nanosheets (the external forces applied are as follows: (<b>A</b>) 20 g; (<b>B</b>) 50 g; (<b>C</b>) 100 g).</p>
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<p>The tentacle sensitivity of the PbS/C composite nanosheets to compression force of about 100 g ((<b>A</b>) 100 g; (<b>B</b>) 100 g after more than 10 cycles).</p>
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<p>The structure of the electrodes in this study (the electrodes are the graphite electrodes with 5B pencil drawings).</p>
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<p>The formation process of PbS/C composite nanosheets derived by polymer gel.</p>
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<p>Three main competitive processes in photoexcitation dynamics.</p>
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<p>The aggregation state structure of polymer-derived carbon materials.</p>
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