journal article·2026-06-12

Intelligent Triboelectric Door‐Lock Sensor Enabled by Liquid‐Metal‐Doped Nanofiber Interfaces for Dual Authentication

Zhao Guo, Yijun Hao, Keke Hong, Peinian Zhang, Xiaopeng Zhu, Xiangqian Lu, Jiayu Su, Yong Qin, Xiuhan Li

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Abstract

ABSTRACT Smart security systems play a vital role in modern home safety, yet traditional biometric locks still face risks such as forgery and security vulnerabilities. To address these challenges, we developed a high‐performance intelligent triboelectric door‐lock sensor (ITDS) based on a liquid‐metal‐doped polyacrylonitrile nanofiber membrane (LMNF), fabricated through an electrospinning‐assisted liquid‐metal incorporation strategy to improve signal reliability and enable dual‐authentication access control. The incorporation of Galinstan droplets induces the formation of gallium oxide species, which serve as effective charge‐trapping sites in the LMNF, thereby significantly enhancing charge‐trapping capability and optimizing triboelectric output performance. As a result, the ITDS exhibits excellent durability, a high signal‐to‐noise ratio of 72.25 dB, and a peak power density of 7.47 W/m 2 . Furthermore, by integrating the ITDS with an 8‐channel signal acquisition unit and a support vector machine (SVM) algorithm using an RBF kernel, we established a dual‐authentication smart door‐lock system. Owing to the sensor's high sensitivity to voltage signals, the system can classify different gestures with an accuracy of 98.7% and identify authorized users with an accuracy of 98.1%, providing a promising strategy for next‐generation personalized access control and intelligent security applications.
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Muscle activation and electromyography studies · Innovative Energy Harvesting Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electronic and Information Engineering Beijing Jiaotong University Beijing P. R. China

Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore

Center for Intelligent Sensors and MEMS (CISM) National University of Singapore Singapore Singapore

State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing P. R. China

Funding

Natural Science Foundation of Beijing Municipality · Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China

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