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

被引:214
作者
Su, Yuanjie [1 ]
Yang, Tiannan [2 ]
Zhao, Xun [3 ]
Cai, Zhixiang [3 ]
Chen, Guorui [3 ]
Yao, Mingliang [1 ]
Chen, Kyle [3 ]
Bick, Michael [3 ]
Wang, Jianjun [2 ]
Li, Shuangding [1 ]
Xie, Guangzhong [1 ]
Tai, Huiling [1 ]
Du, Xiaosong [1 ]
Jiang, Yadong [1 ]
Chen, Jun [3 ]
机构
[1] Univ Elect Sci & Technol China, Sch Optoelect Sci & Engn, State Key Lab Elect Thin Films & Integrated Devic, Chengdu 610054, Peoples R China
[2] Penn State Univ, Sch Mat Sci & Engn, State Coll, PA 16802 USA
[3] Univ Calif Los Angeles, Dept Bioengn, Los Angeles, CA 90095 USA
基金
中国国家自然科学基金;
关键词
Wearable biosensor; Non-invasive; Prediabetes diagnosis; Wireless energy transmission; Phase-field simulation; VOLATILE ORGANIC-COMPOUNDS; SOLID-PHASE MICROEXTRACTION; CRYSTAL MICROBALANCE SENSOR; TRIBOELECTRIC NANOGENERATOR; GAS SENSOR; BREATH; BIOMARKERS; DRIVEN; NANOPARTICLES; HUMIDITY;
D O I
10.1016/j.nanoen.2020.104941
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
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.
引用
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页数:8
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