Multifunctional hydrophobic fabric-based strain sensor for human motion detection and personal thermal management. (1st March 2023)

• Record Type: Journal Article
• Authors: Zhu, Tianxue; Liu, Lexin; Huang, Jianying; Li, Shuhui; Lei, Yonggang; Cai, Weilong; Lai, Yuekun; Li, Huaqiong
• Is Part Of: Journal of materials science & technology. Volume 138(2023)
• Page Start: 108
• Page End: 116
• Publication Date: 2023-03-01
• Subjects: Strain sensor -- Superhydrophobic -- Thermal management -- Photo-thermal device; Metals -- Periodicals; Materials science -- Periodicals; Materials science; Metals; Periodicals; 620.1105
• DOI: 10.1016/j.jmst.2022.08.010
• Languages: English
• ISSNs: 1005-0302

Abstract

Graphical abstract: Image, graphical abstract Highlights: Sensors with multifunctional biomedical applications are rational designed and fabricated. The developed PDMS treatment enhances sensor's durability and stability. The smart fabric has excellent photothermal and Joule-thermal performance as thermal management device. Benefit from good anti-wetting and photothermal property, smart fabric exhibits superior de-icing ability. Abstract: Multifunctional flexible devices for human motion detection and thermal management raised great attention as the problem of the aging population is becoming more and more serious. However, it is still a challenge to endow the devices with excellent stability and wide application scope. Here we prepared a hydrophobic and conductive fabric-based strain sensor for smart fabric via successively coating with polydopamine (PDA), polyaniline (PANI), polypyrrole (PPy), and polydimethylsiloxane (PDMS) through in-situ polymerization and dip-coating, which could be used for strain sensor and wearable heater both in air and underwater. The obtained sample exhibited a fast electrical response in 500 ms and could withstand 10, 000 times stretching-releasing cycles, additionally, the sample exhibited satisfactory electro-thermal and photo-thermal performances. As a whole, the multifunctional fabric-based devices with excellent performances show great potential to be applied in medical monitoring and personal care, especially for aged and disabled persons.