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

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.

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Publication Details

Journal
ACS Sensors
Published
2026-02-04
DOI
https://doi.org/10.1021/acssensors.5c02661
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
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article

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

Xinghua Hong, Wei Sun, Jingying Xu, Yige Liu et al.
ACS Sensors
Advanced Sensor and Energy Harvesting Materials
article

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

Xinghua Hong, Wei Sun, Jingying Xu, Yige Liu, Chang Zhou, Rui Li, Zhaohui Zhou, Kun Chen, Zhaogang Tang, Yuxin Wei, Jialin Li
article en

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.

ACS SensorsVol. 11(2)
Zhejiang Sci-Tech University (CN), Jangan University (KR), Textile Research Institute (US), Zhejiang Fashion Institute of Technology (CN), Department for Environment and Water (AU)
Openalex Percentile: Top 67%
Advanced Sensor and Energy Harvesting Materials
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Silk Fabric E-Skin with Bioinspired Fingerprint Design Enabled by a Mixed-Dimensional Assembly Strategy — Xinghua Hong, Wei Sun, et al. · ACS Sensors (2026) | TGRS Research Map | TGRS