Multifunctional polyaniline@Cu_0.95V₂O₅@carbon cloth composite for zinc ion battery-powered wearable sensing system toward Parkinson's auxiliary diagnosis.

Authors

Hang Li, Zelin Bai, Xue Chen, Yong Wang, Ling Li, Youwei Zhao, Haijiao Lin, Wenming Zhang

Published in

Journal of colloid and interface science. Volume 727. Pages 141578. Sep 11, 2026. Epub Sep 11, 2026.

Abstract

Flexible electronic technology is rapidly advancing toward intelligence, self-powering, and multi-scenario adaptability. However, critical bottlenecks remain unresolved: most functional materials possess a single performance and thus fail to simultaneously realize sensing and energy storage capabilities. Herein, flexible carbon cloth (CC) was employed as the substrate to successfully construct Polyaniline@Cu_0.95V₂O₅@Carbon Cloth (PCC) composite electrode materials, which feature a hierarchical polyaniline (PANI) coating architecture, via a synergistic combination of hydrothermal synthesis and electrodeposition coating techniques. Performance characterization reveals that the pressure sensor delivers an ultrahigh sensitivity of 1.23 × 10⁴ kPa^-1, a broad pressure detection range spanning 0-200 kPa, remarkable durability over 8000 cycles, and a fast, consistent response and recovery time of 83 ms. The gas sensor, in turn, enables accurate detection of ethanol at concentrations from 1 to 100 ppm. Meanwhile, the photoelectric sensor exhibits superior performance in the visible spectrum, with its photocurrent varying from 10 to 100 mW·cm^-2. Furthermore, the PCC-derived zinc-ion battery achieves a specific capacity peak of 231 mAh·g^-1, retaining 90% of its initial capacity after 2000 charge-discharge cycles. The pressure sensor was integrated with the zinc-ion battery, and a PCC-based zinc-ion battery handwriting recognition system was constructed by incorporating deep learning algorithms, which achieved accurate recognition of handwritten strokes between healthy individuals and patients with Parkinson's disease. This work provides a novel approach for the design and preparation of multifunctional composite materials, and also opens up a new technical pathway for the development of a PCC-based zinc-ion battery handwriting recognition wearable electronic devices.

PMID:
42732719
Bibliographic data and abstract were imported from PubMed on 14 Sep 2026.

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