Dr Xinyuan Zhou，Associate Researcher
Post Address: Life and Health Intelligent Research Institute, Tianjin University of Technology
Phone：022-60216079
E-mail：zxy13051583903@163.com
Education and Employment：
2010.09-2014.07, Taiyuan University of Technology, Bachelor
2014.09-2019.07, University of Chinese Academy of Sciences/Institute of Process Engineering Chinese Academy of Sciences, Doctor
2019.08-2022.07, Institute of Chemistry Chinese Academy of Sciences, Postdoctoral research fellow
Research Interests：
To address scientific problems and testing difficulties in the field of breath analysis for disease diagnoses, our research (1) introduces natural three-dimensional micro/nanostructure into the traditional gas-sensing materials, (2) focuses on the effect on gaseous fluid flow and mass transfer of biomimetic structures, (3) develops miniaturized gas sensors for the detection of actual exhaled breath samples.
Representative Works:
1. Xinyuan Zhou, Xiangyu Chen, Zhenjie Xue, and Tie Wang*. Nanoparticle Assembled Structures for Matter Assays in Human Flowing Systems. Matter 2022, Accepted.
2. Xinyuan Zhou, Zhenjie Xue, and Tie Wang*. A point-of-care biosensor for rapid and ultrasensitive detection of SARS-CoV-2. Matter 2022, 5(8): 2402-2404.
3. Xinyuan Zhou, Anqi Wang, Ying Wang, Luozhen Bian, Zaixing Yang*, Yuzhi Bian, Yan Gong, Xiaofeng Wu, Ning Han*, and Yunfa Chen*. Crystal defect dependent gas sensing mechanism of the single ZnO nanowire sensors. ACS Sensors 2018, 3(11), 2385-2393.
4. Xinyuan Zhou,Zhenjie Xue, Xiangyu Chen, Chuanhui Huang, Wanqiao Bai, Zhili Lu, and Tie Wang*. Nanomaterial-based gas sensors used for breath diagnosis. Journal of Materials Chemistry B 2020, 8(16), 3231-3248.
5. Xinyuan Zhou, Ying Wang, Jinxiao Wang, Zheng Xie, Xiaofeng Wu, Ning Han*, and Yunfa Chen*. Amplifying the signal of metal oxide gas sensors for low concentration gas detection. IEEE Sensors Journal 2017, 17(9), 2841-2847.
6. Xinyuan Zhou, Liping Yang, Yuzhi Bian, Xiang Ma, Ning Han*, and Yunfa Chen*. Coupling p+n field-effect transistor circuits for low concentration methane gas detection. Sensors 2018, 18(3), 787
