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| Main Authors: | , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Biosensors
2026
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/42041450/ |
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Table of Contents:
- Highly Robust and Multimodal PVA/Aramid Nanofiber/MXene Organogel Sensors for Advanced Human-Machine Interfaces. Zeng, Guofan Liao, Leiting Wu, Zehong Chen, Jinye Zhou, Peidi Qiu, Yihan Weng, Mingcen Nanofibers Humans Polyvinyl Alcohol Wearable Electronic Devices Biosensing Techniques Gels Nitrites Transition Elements Flexible and wearable electronics require soft sensing materials that balance mechanical compliance, stable signal transduction, and durability for human-machine interfaces (HMIs). To address the limitations of single-filler systems, we propose a poly(vinyl alcohol) (PVA)/aramid nanofiber (ANF)/MXene organogel (PAM) as a multifunctional soft platform. This design integrates a PVA physically crosslinked network with ANF for mechanical reinforcement and MXene for electrical functionality. The optimized PAM composite exhibits outstanding mechanical properties, including a fracture stress of 2931 kPa, a fracture strain of 676%, and a fracture toughness of 9.04 MJ m. Importantly, PAM serves as a single material platform configurable into three sensing modalities. The resistive strain sensor achieves a gauge factor of 3.1 over 10-100% strain and enables the reliable recognition of human joint movements and gestures. The capacitive pressure sensor delivers a sensitivity of 0.298 kPa, rapid response/recovery times of 30/10 ms, and is integrated with a wireless module to control a smart car. Furthermore, the PAM-based triboelectric nanogenerator (TENG) delivers excellent electrical outputs ( = 123 V, = 0.52 μA, = 58 nC) and functions as a self-powered smart handwriting pad, achieving a machine-learning-based recognition accuracy of 97.6%. This work demonstrates the immense potential of the PAM organogel for advanced, self-powered HMIs.