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April 22, 2026Biosensors1 citationsOpen Access

Highly Robust and Multimodal PVA/Aramid Nanofiber/MXene Organogel Sensors for Advanced Human–Machine Interfaces

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GZGuofan ZengLLLeiting LiaoZWZehong Wu

Key Points

  • This research aims to develop a flexible and durable sensor platform for advanced human-machine interfaces using a new composite material.
  • Developed a poly(vinyl alcohol)/aramid nanofiber/MXene organogel composite material.
  • Characterized mechanical and electrical properties of the PAM composite and its sensing modalities.
  • Tested multiple sensing functions including strain, pressure, and electrical output responses.
  • Achieved a fracture stress of 2931 kPa and gauge factor of 3.1 for the strain sensor.
  • Capacitive pressure sensor showed a sensitivity of 0.298 kPa−1 with quick response times.
  • The triboelectric nanogenerator produced outputs sufficient for functions like a handwriting pad, achieving 97.6% recognition accuracy.

Abstract

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−3. 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−1, 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 (Voc = 123 V, Isc = 0.52 μA, Qsc = 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.

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Cite This Study

Zeng et al. (2026) studied this question.

synapsesocial.com/papers/69e866616e0dea528ddeac8chttps://doi.org/10.3390/bios16040229
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