Bifunctional PVDF/MXene Membranes with High Piezoelectric Sensitivity and Near Infrared Photothermal Antibacterial Efficacy toward Wearable Human Activity Monitoring

Abstract

In the realm of wearable health monitoring, establishing a reliable interface that ensures both high-fidelity sensing and long-term biological safety remains a critical challenge, particularly due to the risk of bacterial infection caused by sweat accumulation at the device-skin contact. Herein, we address this issue by developing a scenario-driven, bifunctional PVDF/MXene nanofibrous membrane that integrates robust piezoelectric performance with on-demand photothermal antibacterial capability. In this design, MXene nanosheets function simultaneously as nucleating agents to boost the electroactive β-phase content of PVDF from 80.3% to 93.3% and as efficient near-infrared (NIR) photothermal agents. The optimized membrane exhibits a superior piezoelectric sensitivity of 0.502 V/N, enabling the precise detection of diverse human activities ranging from subtle pulse waveforms to vigorous jumping motions, and motion-triggered Morse code communication. Crucially, addressing the hygiene concerns of reusable wearables, the membrane achieves rapid, non-contact sterilization during off-wear intervals. Under safe NIR irradiation (0.3 W/cm2), the surface temperature rises to ~60 ℃ within 60 s, achieving an antibacterial efficacy of > 99% against S. aureus and E. coli. Combined with excellent in vitro cytocompatibility, this work provides a “one-stone-two-birds” solution for constructing hygienic, high-performance electronic skins.

Supplementary files

Article information

Article type
Paper
Submitted
20 Nov 2025
Accepted
24 Feb 2026
First published
25 Feb 2026

Nanoscale, 2026, Accepted Manuscript

Bifunctional PVDF/MXene Membranes with High Piezoelectric Sensitivity and Near Infrared Photothermal Antibacterial Efficacy toward Wearable Human Activity Monitoring

Z. Hu, F. Wu, H. Su, W. Wang, L. He, Y. Long, Z. Ma, M. Wu, Y. Wang, R. Xu, L. Wu, A. U. Khan, H. Liang, Y. Xiong, X. Huang, Y. Dong, H. Yin and D. Lu, Nanoscale, 2026, Accepted Manuscript , DOI: 10.1039/D5NR04913J

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