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Silk Composite Electronic Textile Sensor for High Space Precision 2D Combo Temperature–Pressure Sensing
Author(s) -
Wu Ronghui,
Ma Liyun,
Hou Chen,
Meng Zhaohui,
Guo Wenxi,
Yu Weidong,
Yu Rui,
Hu Fan,
Liu Xiang Yang
Publication year - 2019
Publication title -
small
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.785
H-Index - 236
eISSN - 1613-6829
pISSN - 1613-6810
DOI - 10.1002/smll.201901558
Subject(s) - materials science , weaving , textile , electronics , silk , pressure sensor , fabrication , composite number , carbon nanotube , nanotechnology , composite material , biocompatible material , wearable technology , electrical conductor , wearable computer , mechanical engineering , computer science , electrical engineering , biomedical engineering , embedded system , medicine , alternative medicine , pathology , engineering
Wearable electronic textiles based on natural biocompatible/biodegradable materials have attracted great attention due to applications in health care and smart clothes. Silkworm fibers are durable, good heat conductors, insulating, and biocompatible, and are therefore regarded as excellent mediating materials for flexible electronics. In this paper, a strategy on the design and fabrication of highly flexible multimode electronic textiles (E‐textile) based on functionalized silkworm fiber coiled yarns and weaving technology is presented. To achieve enhanced temperature sensing performance, a mixture of carbon nanotubes and an ionic liquid ([EMIM]Tf 2 N) is embedded, which displays top sensitivity of 1.23% °C −1 and stability compared with others. Furthermore, fibrous pressure sensing based on the capacitance change of each cross‐point of two yarns gives rise to highly position dependent and sensitivity sensing of 0.136 kPa −1 . Based on weaving technologies, a unique combo textile sensor, which can sense temperature and pressure independently with a position precision of 1 mm 2 , is obtained. The application to intelligent gloves endows the position dependent sensing of the weight, and temperature distribution sensing of the temperature.