A wireless energy transmission enabled wearable active acetone biosensor for non-invasive prediabetes diagnosis

Yuanjie Su, Tiannan Yang, Xun Zhao, Zhixiang Cai, Guorui Chen, Mingliang Yao, Kyle Chen, Michael Bick, Jianjun Wang, Shuangding Li, Guangzhong Xie, Huiling Tai, Xiaosong Du, Yadong Jiang, Jun Chen

Research output: Contribution to journalArticlepeer-review

80 Scopus citations

Abstract

Approximately 22% of the 86 million people in the United States living with prediabetes are unaware of their condition. Detection of acetone in human respiration offers an effective and painless approach for the diagnosis of prediabetes. In this work, a wearable active acetone biosensor employing chitosan and reduced graphene oxide (RGO) as sensitive materials was developed to non-invasively diagnose prediabetes. When operated under 97.3% relative humidity at room temperature, the prepared chitosan and RGO composite film-based sensor exhibited a good sensing response of 27.89% under 10 ppm acetone in respiratory gases, which is about 5 times higher than the sensing response of pure chitosan film-based devices. In addition, finite element analysis and phase-field simulation were conducted to provide theoretical support for the active sensing mechanism. This work not only presents a wirelessly powered wearable active acetone biosensor, but also paves the way for a new method of non-invasive prediabetes diagnosis.

Original languageEnglish (US)
Article number104941
JournalNano Energy
Volume74
DOIs
StatePublished - Aug 2020

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Materials Science(all)
  • Electrical and Electronic Engineering

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