Zhang, D., Guo, Y., Zhang, L., Wang, Y., Peng, S., Duan, S., Geng, L., Zhang, X., Wang, W., Yang, M., Wu, G., Chen, J., Feng, Z., Wang, X., Wu, Y., Jiang, H., Zhang, Q., Sun, J., Li, S., ... Luo, H. (2022). Integrated System for On-Site Rapid and Safe Screening of COVID-19. Analytical Chemistry, 94(40), 13810-13819. https://doi.org/10.1021/acs.analchem.2c02337
Zhang, Dongheyu ; Guo, Yuntao ; Zhang, Liyang et al. / Integrated System for On-Site Rapid and Safe Screening of COVID-19. In: Analytical Chemistry. 2022 ; Vol. 94, No. 40. pp. 13810-13819.
@article{4e511788b995486084052ceca313eaba,
title = "Integrated System for On-Site Rapid and Safe Screening of COVID-19",
abstract = "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.",
author = "Dongheyu Zhang and Yuntao Guo and Liyang Zhang and Yao Wang and Siqi Peng and Simeng Duan and Lin Geng and Xiao Zhang and Wei Wang and Mengjie Yang and Guizhen Wu and Jiayi Chen and Zihao Feng and Xinyuan Wang and Yue Wu and Haotian Jiang and Qikang Zhang and Jingjun Sun and Shenwei Li and Yuping He and Meng Xiao and Yingchun Xu and Hongqiu Wang and Peipei Liu and Qun Zhou and Haiyun Luo",
note = "Publisher Copyright: {\textcopyright} 2022 American Chemical Society.",
year = "2022",
month = oct,
day = "11",
doi = "10.1021/acs.analchem.2c02337",
language = "English",
volume = "94",
pages = "13810--13819",
journal = "Analytical Chemistry",
issn = "0003-2700",
publisher = "American Chemical Society",
number = "40",
}
Zhang, D, Guo, Y, Zhang, L, Wang, Y, Peng, S, Duan, S, Geng, L, Zhang, X, Wang, W, Yang, M, Wu, G, Chen, J, Feng, Z, Wang, X, Wu, Y, Jiang, H, Zhang, Q, Sun, J, Li, S, He, Y, Xiao, M, Xu, Y, Wang, H, Liu, P, Zhou, Q & Luo, H 2022, 'Integrated System for On-Site Rapid and Safe Screening of COVID-19', Analytical Chemistry, vol. 94, no. 40, pp. 13810-13819. https://doi.org/10.1021/acs.analchem.2c02337
Integrated System for On-Site Rapid and Safe Screening of COVID-19. / Zhang, Dongheyu
; Guo, Yuntao; Zhang, Liyang et al.
In:
Analytical Chemistry, Vol. 94, No. 40, 11.10.2022, p. 13810-13819.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Integrated System for On-Site Rapid and Safe Screening of COVID-19
AU - Zhang, Dongheyu
AU - Guo, Yuntao
AU - Zhang, Liyang
AU - Wang, Yao
AU - Peng, Siqi
AU - Duan, Simeng
AU - Geng, Lin
AU - Zhang, Xiao
AU - Wang, Wei
AU - Yang, Mengjie
AU - Wu, Guizhen
AU - Chen, Jiayi
AU - Feng, Zihao
AU - Wang, Xinyuan
AU - Wu, Yue
AU - Jiang, Haotian
AU - Zhang, Qikang
AU - Sun, Jingjun
AU - Li, Shenwei
AU - He, Yuping
AU - Xiao, Meng
AU - Xu, Yingchun
AU - Wang, Hongqiu
AU - Liu, Peipei
AU - Zhou, Qun
AU - Luo, Haiyun
N1 - Publisher Copyright:
© 2022 American Chemical Society.
PY - 2022/10/11
Y1 - 2022/10/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85139425291&partnerID=8YFLogxK
U2 - 10.1021/acs.analchem.2c02337
DO - 10.1021/acs.analchem.2c02337
M3 - Article
AN - SCOPUS:85139425291
SN - 0003-2700
VL - 94
SP - 13810
EP - 13819
JO - Analytical Chemistry
JF - Analytical Chemistry
IS - 40
ER -
Zhang D, Guo Y, Zhang L, Wang Y, Peng S, Duan S et al. Integrated System for On-Site Rapid and Safe Screening of COVID-19. Analytical Chemistry. 2022 Oct 11;94(40):13810-13819. doi: 10.1021/acs.analchem.2c02337
