journal article·2024-11-26

Tailoring Strain Sensor Performance by Biwetting–Dewetting Assembly

Li Wang, Haichuan Li, Peijin Li, Huangyu Zhou, Fanghao Ning, Tao Qin, Gui-Shi Liu

ACS Applied Electronic Materials· Volume 6· Issue 11
Publisher page

Abstract

The performance indices of nanomaterial-based strain sensors are typically mutually constrained; however, diverse applications necessitate customizable sensing performance for reliable detection. Programming the performance of strain sensors using simple methods and materials remains a significant challenge. Here, we report a biwetting–dewetting (BWD) assembly method for fabricating programmable strain sensors utilizing silver nanowire (AgNW)-based composites on polydimethylsiloxane (PDMS). The BWD assembly was conducted on a highly heterogeneous PDMS surface achieved by oxidation treatment. Patterned AgNWs can self-assemble on the PDMS via a wetting–dewetting process during spin coating. By leveraging the permeability of the AgNW network, a second ink of adhesive molecules, brittle polymers, MXene, or liquid metal particles can be selectively deposited on the AgNW patterns through the same wetting–dewetting process. The straightforward BWD method provides unparalleled tunability of sensitivity and stretchability, allowing for modulation of sensitivity (gauge factor: 2.3 to 3.1 × 10 6 ) by 2 to 6 orders of magnitude within 100% strain. With this customized performance, the AgNW-based sensors demonstrate reliable detection capabilities for sound vibration and various physiological motions. The BWD method introduces an innovative approach to tailoring strain sensor performance and holds potential applicability in assembling other nanomaterials for stretchable electronics.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions · Adhesion, Friction, and Surface Interactions

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

Affiliations

School of Big Data and Internet of Things, Chongqing Vocational Institute of Engineering, Chongqing 402260, P. R. China

Department of Optoelectronic Engineering, College of Physics and Optoelectronic Engineering, Jinan University, Guangzhou 510632, P. R. China

Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Jinan University, Guangzhou 510632, P. R. China

Funding

Chongqing Municipal Education Commission Foundation · Basic and Applied Basic Research Foundation of Guangdong Province · National Natural Science Foundation of China

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