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Battery-free, wireless, and electricity-driven soft swimmer for water quality and virus monitoring

  • Dengfeng Li
  • , Jingkun Zhou
  • , Zichen Zhao
  • , Xingcan Huang
  • , Hu Li
  • , Qingao Qu
  • , Changfei Zhou
  • , Kuanming Yao
  • , Yanting Liu
  • , Mengge Wu
  • , Jingyou Su
  • , Rui Shi
  • , Ya Huang
  • , Jingjing Wang
  • , Zongwen Zhang
  • , Yiming Liu
  • , Zhan Gao
  • , Wooyoung Park
  • , Huiling Jia
  • , Xu Guo
  • Jiachen Zhang, Pakpong Chirarattananon, Lingqian Chang*, Zhaoqian Xie*, Xinge Yu*
*Corresponding author for this work
  • City University of Hong Kong
  • hong Kong centre for cerebro-cardiovascular health engineering (cOche)
  • Dalian University of Technology
  • Beihang University
  • Anhui Medical University
  • City University of Hong Kong Shenzhen Research Institute

Research output: Contribution to journalArticlepeer-review

Abstract

Miniaturized mobile electronic system is an effective candidate for in situ exploration of confined spaces. However, realizing such system still faces challenges in powering issue, untethered mobility, wireless data acquisition, sensing versatility, and integration in small scales. Here, we report a battery-free, wireless, and miniaturized soft electromagnetic swimmer (SES) electronic system that achieves multiple monitoring capability in confined water environments. Through radio frequency powering, the battery-free SES system demonstrates untethered motions in confined spaces with considerable moving speed under resonance. This system adopts soft electronic technologies to integrate thin multifunctional bio/chemical sensors and wireless data acquisition module, and performs real-time water quality and virus contamination detection with demonstrated promising limits of detection and high sensitivity. All sensing data are transmitted synchronously and displayed on a smartphone graphical user interface via near-field communication. Overall, this wireless smart system demonstrates broad potential for confined space exploration, ranging from pathogen detection to pollution investigation.

Original languageEnglish
Article numbereadk6301
JournalScience Advances
Volume10
Issue number2
DOIs
StatePublished - Jan 2024

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