Affiliations 

  • 1 College of Chemistry and Chemical Engineering, Chongqing University, Chongqing, China
  • 2 College of Chemistry and Chemical Engineering, Chongqing University, Chongqing, China. zhangnn@cqu.edu.cn
  • 3 John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
  • 4 Industrial Technology Research Institute of Chongqing University, Chongqing, China
  • 5 School of Pharmaceutical Sciences, University Sains Malaysia, Penang, Malaysia
  • 6 Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China
  • 7 John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA. xingcai@mit.edu
  • 8 Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
  • 9 Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China. zhangwei@cigit.ac.cn
  • 10 College of Chemistry and Chemical Engineering, Chongqing University, Chongqing, China. foxcqdx@cqu.edu.cn
Nat Commun, 2021 08 12;12(1):4876.
PMID: 34385436 DOI: 10.1038/s41467-021-25075-8

Abstract

While the printed circuit board (PCB) has been widely considered as the building block of integrated electronics, the world is switching to pursue new ways of merging integrated electronic circuits with textiles to create flexible and wearable devices. Herein, as an alternative for PCB, we described a non-printed integrated-circuit textile (NIT) for biomedical and theranostic application via a weaving method. All the devices are built as fibers or interlaced nodes and woven into a deformable textile integrated circuit. Built on an electrochemical gating principle, the fiber-woven-type transistors exhibit superior bending or stretching robustness, and were woven as a textile logical computing module to distinguish different emergencies. A fiber-type sweat sensor was woven with strain and light sensors fibers for simultaneously monitoring body health and the environment. With a photo-rechargeable energy textile based on a detailed power consumption analysis, the woven circuit textile is completely self-powered and capable of both wireless biomedical monitoring and early warning. The NIT could be used as a 24/7 private AI "nurse" for routine healthcare, diabetes monitoring, or emergencies such as hypoglycemia, metabolic alkalosis, and even COVID-19 patient care, a potential future on-body AI hardware and possibly a forerunner to fabric-like computers.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.