Polyvinyl alcohol/chitosan based nanocomposite organohydrogel flexible wearable strain sensors for sports monitoring and underwater communication rescue

International Journal of Biological Macromolecules, Journal Year: 2023, Volume and Issue: 258, P. 129054 - 129054

Published: Dec. 28, 2023

Language: Английский

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Development of Silicone Rubber-Multiwalled Carbon Nanotube Composites for Strain-Sensing Applications: Morphological, Mechanical, Electrical, and Sensing Properties

ACS Applied Electronic Materials, Journal Year: 2024, Volume and Issue: 6(6), P. 4406 - 4417

Published: May 21, 2024

This study presents a comprehensive investigation on the fabrication and characterization of piezoresistive elastomeric strain sensors using multiwalled carbon nanotubes (MWCNTs) incorporated into silicone rubber matrix. Through meticulous experimentation theoretical modeling, elucidates intricate relationship between MWCNT concentration, mechanical properties, electrical conductivity within composite materials. The research reveals that formulations with concentrations slightly above percolation threshold exhibit superior strain-sensing properties. Specifically, composites containing 2 phr MWCNTs demonstrate remarkable gauge factor 225, indicating enhanced sensitivity compared higher loadings. Mechanical testing tensile machine complex interplay loading However, subsequent enhancements in properties increasing content suggest improved dispersion reinforcing effects, highlighting potential for tailored performance. DC demonstrates significant increase rising concentrations, indicative formation conductive networks as reach threshold. Enhanced charge transport constructive interface interactions facilitate efficient electron flow through composite, which is crucial applications requiring conductivity. Moreover, analysis dielectric permittivity its concentration-dependent increase, attributed to large surface area promoting stronger matrix polarization under electric fields. Drastic changes AC at lower frequency levels region influences relaxation, paths. underscores MWCNTs-silicone versatile materials advanced applications, offering tunable specific requirements.

Language: Английский

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Highly Tough, Freeze-Resistant, Sensitive, and Recyclable Starch-based Multifunctional Hydrogel Flexible Wearable Sensor for Human Motion Monitoring

Journal of Polymers and the Environment, Journal Year: 2024, Volume and Issue: 32(10), P. 5344 - 5359

Published: May 28, 2024

Language: Английский

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Air-Writing Recognition Enabled by a Flexible Dual-Network Hydrogel-Based Sensor and Machine Learning

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 25, 2024

Accurate air-writing recognition is pivotal for advancing state-of-the-art text recognizers, encryption tools, and biometric technologies. However, most existing systems rely on image-based sensors to track hand finger motion trajectories. Additionally, users' writing often guided by delimiters imaginary axes which restrict natural movements. Consequently, accuracy falls short of optimal levels, hindering performance usability practical applications. Herein, we have developed an approach utilizing a one-dimensional convolutional neural network (1D-CNN) algorithm coupled with ionic conductive flexible strain sensor based sodium chloride/sodium alginate/polyacrylamide (NaCl/SA/PAM) dual-network hydrogel intelligent accurate recognition. Taking advantage the excellent characteristics sensor, such as high stretchability, good tensile strength, conductivity, strong adhesion, sensitivity, alongside enhanced analytical ability 1D-CNN machine learning (ML) algorithm, achieved ∼96.3% in-air handwritten characters English alphabets. Furthermore, comparative analysis against methods, widely used residual (ResNet) demonstrates competitive our integrated system. The system shows significant potential in innovative paving way exciting developments human-machine interface (HMI)

Language: Английский

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Incorporation of cupric sulfate and vanillin empowered poly (vinyl alcohol) hydrogel as flexible sensing device

Polymer, Journal Year: 2025, Volume and Issue: unknown, P. 128384 - 128384

Published: April 1, 2025

Language: Английский

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CuTCNQ for Enzyme-Free Glucose Oxidation Modeled with Deep Learning LSTM Networks

Journal of The Electrochemical Society, Journal Year: 2024, Volume and Issue: 171(12), P. 127506 - 127506

Published: Nov. 27, 2024

Conductive, metal-organic complex, specifically a copper 7,7,8,8-tetracyanoquinodimethane (CuTCNQ) structure, have emerged as suitable catalyst for electrochemical oxidation reactions. Herein, CuTCNQ is explored an electrocatalyst directly oxidizing glucose molecules in alkaline media. The copper-centered organic complex offers synergy of redox-chemistry (Cu (II/I)) and conductivity (TCNQ-), enabling amperometric non-enzymatic electroanalysis from 3.0 to 39.0 mM with LOD 0.15 μM(S/N = 3). interaction evaluated via DFT where calculated binding energy −0.21 Ha, alongside reduced HOMO-LUMO gap 0.873 eV confirms favorability Cu-TCNQ-glucose enhanced electron transfer potential. Differential pulse voltammetry (DPV) based assessment suitability higher concentration range adaptation machine learning (ML) algorithm Long short-term memory (LSTM) network superiority modeling dependencies sequential patterns. LSTM’s relatively lower MSE (0.1430), MAE (0.0207), RMSE (0.1439) compared traditional ML models (Linear Regression, Random Forest, LightGBM) confirm their effectiveness validating performance.

Language: Английский

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Biomaterial-based Flexible Stretchable Sensor Devices: Classification, Composition and Their Multifunctional Integrated Applications

Journal of Bionic Engineering, Journal Year: 2024, Volume and Issue: 22(1), P. 12 - 46

Published: Nov. 21, 2024

Language: Английский

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