Multifunctional polyaniline@Cu0.95V2O5@carbon cloth composite for zinc ion battery-powered wearable sensing system toward Parkinson's auxiliary diagnosis.

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@Cu0.95V2O5@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.