Skin-Mimicking Soft Strain Sensor with Elastic Resilience, Crack Tolerance, and Amphibious Self-Adhesion.

ACS Sens

The State Key Laboratory of High Performance Ceramics and Superfine Microstructure, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 200050, China.

Published: April 2025


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The intrinsic elastic resilience, fatigue resistance, and self-adhesion of human skin are highly desired merits. However, they are challenging to combine into a single mechanoreceptive electronic skin for healthcare monitoring and humanoid soft robots. We introduce an elastically resilient, crack-tolerant, amphibiously adhesive, and strain-sensitive electronic skin (ERCAS-skin) featuring a hierarchical and gradient design. ERCAS-skin has a skin-like binary structure of a carbon nanotube-coated thermoplastic polyurethane nanofibrous scaffold embedded in a gradient cross-linking polydimethylsiloxane (PDMS) matrix. The binary structure endows ERCAS-skin with mechanical compliance (Young's modulus of 2.4 MPa) and crack tolerance (fatigue threshold of 1285 J m) through a matrix-to-scaffold stress transfer. The gradient cross-linking PDMS ensures not only high elastic resilience (recovery of 95%) but also strong wet adhesion (0.76 N cm) through a synergistic hydrophobic chain mobility effect. The crack generation mechanism of the embedded carbon nanotube polyurethane enables high sensitivity and a wide strain-sensing range. Owing to its excellent strain-sensing capability, ERCAS-skin was utilized as a self-adhesive strain sensor for hand gesture recognition both in the air and under water and as a fatigue-free motion sensor for robotic fish monitoring.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acssensors.5c00555DOI Listing

Publication Analysis

Top Keywords

elastic resilience
12
strain sensor
8
crack tolerance
8
electronic skin
8
binary structure
8
gradient cross-linking
8
skin-mimicking soft
4
soft strain
4
sensor elastic
4
resilience crack
4

Similar Publications

This study presents a biopreservation method using sourdough co-fermented with Fructilactobacillus sanfranciscensis and Propionibacterium freudenreichii, optimizing conditions to 220 hydration and 24 h fermentation. The composite sourdough bread quality was evaluated through physicochemical, storage, sensory, and microbial tests, with mechanisms analyzed based on microstructure, rheology, and dough structure. Results showed that: first, the composite sourdough enhanced bread physicochemical properties, increasing volume, height-to-diameter ratio, elasticity, and resilience, while reducing baking loss, hardness, chewiness, and adhesiveness.

View Article and Find Full Text PDF

Objective: To explore the relationship between physical exercise and loneliness of college students and its mechanism, and to analyze emotional self-efficacy as a mediating variable and psychological elasticity as a moderating variable.

Methods: In this study, the Physical Exercise Scale, the UCLA Loneliness Scale, the Emotion Regulation Self-Efficacy Scale (RES) and the psychological elasticity Scale were selected and used in a cross-sectional design to conduct a comprehensive survey of 850 college students from five different schools, for variables such as gender, grade, major, and place of origin. In the subsequent stage of data processing and analysis, SPSS 27.

View Article and Find Full Text PDF

The present study evaluated the potential of near-infrared (NIR) spectroscopy, conventional digital images, and images with thermal and X-ray filters, coupled with partial least squares (PLS) for the determination of texture profile analysis (TPA), mainly hardness, adhesiveness, springiness, chewiness, gumminess, cohesiveness, and resilience. Furthermore, the approach can be classified as a multivariate multiproduct calibration model since different types of flour were incorporated into each single multivariate model. The models were validated through the parameters of merit estimation, considering accuracy, adjust, linearity, inverse of analytical sensitivity, and limits of detection and quantification.

View Article and Find Full Text PDF

Olfactory impairment has been proposed as an early marker for Alzheimer's disease (AD), yet the mechanisms linking sensory decline to genetic and environmental risk factors remain unclear. We aimed to identify early biomarkers and brain network alterations associated with AD risk by multimodal analyses in humanized APOE mice. We evaluated olfactory behavior, diffusion MRI connectomics, and brain and blood transcriptomics in mice stratified by APOE2, APOE3, and APOE4 genotypes, age, sex, high-fat diet, and immune background (HN).

View Article and Find Full Text PDF

Effect of Surface-Modified Mica in Hybrid Filler Systems on the Curing and Mechanical Behavior of Ethylene-Propylene-Diene Monomer (EPDM)/Butadiene Rubber (BR) Blend.

Polymers (Basel)

August 2025

Department of Materials Science and Engineering, School of Chemical and Materials Engineering, The University of Suwon, Hwaseong 18323, Gyeonggi-do, Republic of Korea.

This study investigates the influence of hybrid filler systems comprising carbon black (CB), mica, and surface-modified mica (SM) on the properties of ethylene-propylene-diene monomer (EPDM)/butadiene rubber (PB) composites. To reduce the environmental issues associated with CB, mica was incorporated as a partial substitute, and its compatibility with the rubber matrix was enhanced through surface modification using ureidopropyltrimethoxysilane (URE). The composites with hybrid filler systems and surface modification were evaluated in terms of curing behavior, crosslink density, mechanical and elastic properties, and dynamic viscoelasticity.

View Article and Find Full Text PDF