A wireless energy transmission enabled wearable active acetone biosensor for non-invasive prediabetes diagnosis. (August 2020)

• Record Type: Journal Article
• Authors: Su, Yuanjie; Yang, Tiannan; Zhao, Xun; Cai, Zhixiang; Chen, Guorui; Yao, Mingliang; Chen, Kyle; Bick, Michael; Wang, Jianjun; Li, Shuangding; Xie, Guangzhong; Tai, Huiling; Du, Xiaosong; Jiang, Yadong; Chen, Jun
• Is Part Of: Nano energy. Volume 74(2020)
• Publication Date: 2020-08
• Subjects: Wearable biosensor -- Non-invasive -- Prediabetes diagnosis -- Wireless energy transmission -- Phase-field simulation; Nanoscience -- Periodicals; Nanotechnology -- Periodicals; Nanostructured materials -- Periodicals; Power resources -- Technological innovations -- Periodicals; Nanoscience; Nanostructured materials; Nanotechnology; Power resources -- Technological innovations; Periodicals; 621.042
• DOI: 10.1016/j.nanoen.2020.104941
• Languages: English
• ISSNs: 2211-2855

Abstract

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. Graphical abstract: Image 1 Highlights: A self-powered acetone sensor with wireless energy transmission was reported. The wearable sensor exhibited a good sensing response of 70.36% under 10 ppm acetone, which is about 4 times higher than that of pure chitosan film devices. Finite element analysis and phase-field simulation were performed to investigate the working principle of the active acetone detection from breathing. This work is expected to pave a cost-effective and convenient way for non-invasive prediabetes diagnosis.