Analytical chemistry · 2022
Integrated System for On-Site Rapid and Safe Screening of COVID-19.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Zhang Dongheyu, Guo Yuntao, Zhang Liyang, Wang Yao, Peng Siqi, Duan Simeng, Geng Lin, Zhang Xiao, Wang Wei, Yang Mengjie, Wu Guizhen, Chen Jiayi, Feng Zihao, Wang Xinyuan, Wu Yue, Jiang Haotian, Zhang Qikang, Sun Jingjun, Li Shenwei, He Yuping, Xiao Meng, Xu Yingchun, Wang Hongqiu, Liu Peipei, Zhou Qun, Luo Haiyun
Аннотация
Since the outbreak of coronavirus disease 2019 (COVID-19), the epidemic has been spreading around the world for more than 2 years. Rapid, safe, and on-site detection methods of COVID-19 are in urgent demand for the control of the epidemic. Here, we established an integrated system, which incorporates a machine-learning-based Fourier transform infrared spectroscopy technique for rapid COVID-19 screening and air-plasma-based disinfection modules to prevent potential secondary infections. A partial least-squares discrimination analysis and a convolutional neural network model were built using the collected infrared spectral dataset containing 857 training serum samples. Furthermore, the sensitivity, specificity, and prediction accuracy could all reach over 94% from the results of the field test regarding 968 blind testing samples. Additionally, the disinfection modules achieved an inactivation efficiency of 99.9% for surface and airborne tested bacteria. The proposed system is conducive and promising for point-of-care and on-site COVID-19 screening in the mass population.