journal article·2020-05-13

Naturally Derived Wearable Strain Sensors with Enhanced Mechanical Properties and High Sensitivity

Zhen Lv, Jize Liu, Xin Yang, Dongyang Fan, Jie Cao, Yongyue Luo, Xinxing Zhang

ACS Applied Materials & Interfaces· Volume 12· Issue 19
Publisher page

Abstract

Flexible strain sensors are of great interest for future applications in the next-generation wearable electronic devices. However, most of the existing flexible sensors are based on synthetic polymer materials with limitations in biocompatibility and biodegradability, which may lead to potential environmental pollution. Here, we propose a naturally derived wearable strain sensor based on natural-sourced materials including milk protein fabric, natural rubber, tannic, and vitamin C. The obtained sensors exhibit remarkably enhanced mechanical properties and high sensitivity contrast to currently reported natural resource-based sensors, owing to the metal-ligand interface design and the construction of an organized three-dimensional conductive network, which well fit the requirements of electronic skin. This work represents an important advance toward the fabrication of naturally derived high-performance strain sensors and expanding possibilities in the design of environmental-friendly soft actuators, artificial muscle, and other wearable electronic devices.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Electrospun Nanofibers in Biomedical Applications

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

Affiliations

Agricultural Products Processing Research Institute, Chinese Academy of Tropical, Agricultural Sciences (CATAS), Zhanjiang 524001, China

State Key Laboratory of Polymer Materials Engineering, Polymer Research Institute of Sichuan University, Chengdu 610065, China

Funding

The Fundamental Scientific Research Funds for Chinese Academy of Tropical Agricultural Sciences

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