Silk Fabric E-Skin with Bioinspired Fingerprint Design Enabled by a Mixed-Dimensional Assembly Strategy

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Authors: Kun Chen, Jingying Xu, Zhaohui Zhou, Jialin Li, Zhaogang Tang, Yige Liu, Chang Zhou, Rui Li, Yuxin Wei, Wei Sun, Xinghua Hong
Cited by: 7
References: 51

Abstract

Silk fabric electronic skins (E-skins) enable a more natural and delicate interactive experience for smart devices. However, achieving precise structural design, interfacial stability, and skin-like functionality often requires intricate manufacturing processes and sophisticated equipment. Herein, a mass-produced, highly flexible texture-programmed silk fabric E-skin is developed by employing an advanced jacquard process coupled with a polyphenol coordination-mediated deposition strategy. The E-skin features broad strain-sensing capabilities, enabling it to monitor both light and heavy rhythmic vibration signals, facilitate information interaction via Morse code, and exhibit a fast response time of 60 ms. In addition, this E-skin possesses multimodal information sensing capabilities and can accurately identify objects with varying surface roughness (10-90 μm) and hardness (2.0 HA-42.7 HD). Notably, by utilizing machine learning algorithms, it can specifically differentiate between four fabrics that have the same raw materials and weaving density but differ in micron-scale circular structures (accuracy > 95%). Overall, the texture-programmed silk E-skin offers advanced multimodal sensing for health monitoring, motion tracking, and tactile sensing.

Fields of Study & Subjects

Advanced Sensor and Energy Harvesting Materials Silk-based biomaterials and applications Polydiacetylene-based materials and applications

Publication details

Journal / source
ACS Sensors
Publisher
American Chemical Society (ACS)
Volume
11
Issue
2
Pages
1009–1019
Publication date
4 February 2026
Language
EN