Authors
Huili Sun, Weijie Liu, Haonan Xing, Xiaoqing Liu, Huatang Wang, Mengyao Gao, Kun Chen, Tianyu Xia, Yongfa Cheng, Haizhong Guo
Published in
ACS nano. Oct 27, 2025. Epub Oct 27, 2025.
Abstract
Traditional sensors often suffer from limited material properties, fixed structural configurations, and a lack of tunability and three-dimensional (3D) porous architectures necessary to meet the growing demands for multifunctionality, miniaturization, and seamless integration. Here, a flexible sensor based on a 3D MXene/silk fibroin (SF) aerogel to meet the demands for multifunctionality was prepared. Due to the high electrical conductivity and superior elasticity of the layered porous MXene/SF aerogel formed by a rapid gas foaming process, the sensor is capable of monitoring multimodal signals, including mechanical, thermal, and acoustic stimuli. The sensor achieves a high sensitivity (103.14 kPa-1), a minimum detection limit (1.96 Pa), a fast response time/recovery time (110.92 ms/77.81 ms), and good cyclic stability (>10,000 cycles). In addition, the sensor exhibits excellent repeatability and recognition capability for temperature changes. More importantly, it effectively distinguishes sound signals from different languages, achieving a language recognition accuracy of 96.58% by machine learning recognition. This work provides insights and approaches that can provide inspiration for the future development of high-performance and multifunctional integrated flexible sensors.
PMID:
41143724
Bibliographic data and abstract were imported from PubMed on 27 Oct 2025.
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