Literature DB >> 33022603

Sustainable manufacturing of sensors onto soft systems using self-coagulating conductive Pickering emulsions.

Sang Yup Kim1, Youngwoo Choo2, R Adam Bilodeau1,3, Michelle C Yuen1, Gilad Kaufman2, Dylan S Shah1, Chinedum O Osuji2, Rebecca Kramer-Bottiglio4.   

Abstract

Compliant sensors based on composite materials are necessary components for geometrically complex systems such as wearable devices or soft robots. Composite materials consisting of polymer matrices and conductive fillers have facilitated the manufacture of compliant sensors due to their potential to be scaled in printing processes. Printing composite materials generally entails the use of solvents, such as toluene or cyclohexane, to dissolve the polymer resin and thin down the material to a printable viscosity. However, such solvents cause swelling and decomposition of most polymer substrates, limiting the utility of the composite materials. Moreover, many such conventional solvents are toxic or otherwise present health hazards. Here, sustainable manufacturing of sensors is reported, which uses an ethanol-based Pickering emulsion that spontaneously coagulates and forms a conductive composite. The Pickering emulsion consists of emulsified polymer precursors stabilized by conductive nanoparticles in an ethanol carrier. Upon evaporation of the ethanol, the precursors are released, which then coalesce amid nanoparticle networks and spontaneously polymerize in contact with the atmospheric moisture. We printed the self-coagulating conductive Pickering emulsion onto a variety of soft polymeric systems, including all-soft actuators and conventional textiles, to sensitize these systems. The resulting compliant sensors exhibit high strain sensitivity with negligible hysteresis, making them suitable for wearable and robotic applications.
Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Entities:  

Year:  2020        PMID: 33022603     DOI: 10.1126/scirobotics.aay3604

Source DB:  PubMed          Journal:  Sci Robot        ISSN: 2470-9476


  1 in total

1.  A paradigm shift fully self-powered long-distance wireless sensing solution enabled by discharge-induced displacement current.

Authors:  Haoyu Wang; Jiaqi Wang; Kuanming Yao; Jingjing Fu; Xin Xia; Ruirui Zhang; Jiyu Li; Guoqiang Xu; Lingyun Wang; Jingchao Yang; Jie Lai; Yuan Dai; Zhengyou Zhang; Anyin Li; Yuyan Zhu; Xinge Yu; Zhong Lin Wang; Yunlong Zi
Journal:  Sci Adv       Date:  2021-09-22       Impact factor: 14.136

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.