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Time‐Resolved and Self‐Adjusting Hybrid Functional Fabric Sensor for Decoupling Multiple Stimuli from Bending
Author(s) -
Sun Jiaxing Jeccy,
Zhang Min,
Khatib Muhammad,
Milyutin Yana,
Saliba Walaa,
Kloper Viki,
Garaa Alaa,
Wu Weiwei,
Jin Han,
SegevBar Meital,
Deng Yunfeng,
Horev Yehu David,
Vishinkin Rotem,
Haick Hossam
Publication year - 2019
Publication title -
advanced materials technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.184
H-Index - 42
ISSN - 2365-709X
DOI - 10.1002/admt.201900290
Subject(s) - decoupling (probability) , materials science , elastomer , parametric statistics , overpressure , computer science , styrene , nanotechnology , biological system , composite material , control engineering , engineering , polymer , copolymer , physics , mathematics , statistics , biology , thermodynamics
Abstract Multi‐parametric sensing fabrics have the potential to lead a new generation of applications in a wide variety of fields. Nevertheless, the use of these devices in complex environments depends on the ability of the sensing fabrics to decouple between various stimuli co‐existing in a complex environment. Fabric backbones with dispersed single‐wall carbon nanotubes and molecularly modified gold nanoparticles in elastomer outerwear of styrene–ethylene–butylene–styrene for multifunctional detection of complex physical and chemical stimuli are presented. This feature of the fabric–elastomer structure endows time‐resolved insensitivity to strain; furthermore, it enables decoupling pressure/relative humidity from curving surfaces. It is also shown that applying incompatible regression models to the time‐resolved output signals gives excellent discrimination between various stimuli collected from a complex environment.