TY - JOUR
T1 - Fast Screening and Primary Diagnosis of COVID-19 by ATR-FT-IR
AU - Zhang, Liyang
AU - Xiao, Meng
AU - Wang, Yao
AU - Peng, Siqi
AU - Chen, Yu
AU - Zhang, Dong
AU - Zhang, Dongheyu
AU - Guo, Yuntao
AU - Wang, Xinxin
AU - Luo, Haiyun
AU - Zhou, Qun
AU - Xu, Yingchun
N1 - Publisher Copyright:
© 2021 The Authors. Published by American Chemical Society.
PY - 2021/2/2
Y1 - 2021/2/2
N2 - The outbreak of coronavirus disease 2019 (COVID-19) has led to substantial infections and mortality around the world. Fast screening and diagnosis are thus crucial for quick isolation and clinical intervention. In this work, we showed that attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FT-IR) can be a primary diagnostic tool for COVID-19 as a supplement to in-use techniques. It requires only a small volume (∼3 μL) of the serum sample and a shorter detection time (several minutes). The distinct spectral differences and the separability between normal control and COVID-19 were investigated using multivariate and statistical analysis. Results showed that ATR-FT-IR coupled with partial least squares discriminant analysis was effective to differentiate COVID-19 from normal controls and some common respiratory viral infections or inflammation, with the area under the receiver operating characteristic curve (AUROC) of 0.9561 (95% CI: 0.9071-0.9774). Several serum constituents including, but not just, antibodies and serum phospholipids could be reflected on the infrared spectra, serving as "chemical fingerprints"and accounting for good model performances.
AB - The outbreak of coronavirus disease 2019 (COVID-19) has led to substantial infections and mortality around the world. Fast screening and diagnosis are thus crucial for quick isolation and clinical intervention. In this work, we showed that attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FT-IR) can be a primary diagnostic tool for COVID-19 as a supplement to in-use techniques. It requires only a small volume (∼3 μL) of the serum sample and a shorter detection time (several minutes). The distinct spectral differences and the separability between normal control and COVID-19 were investigated using multivariate and statistical analysis. Results showed that ATR-FT-IR coupled with partial least squares discriminant analysis was effective to differentiate COVID-19 from normal controls and some common respiratory viral infections or inflammation, with the area under the receiver operating characteristic curve (AUROC) of 0.9561 (95% CI: 0.9071-0.9774). Several serum constituents including, but not just, antibodies and serum phospholipids could be reflected on the infrared spectra, serving as "chemical fingerprints"and accounting for good model performances.
UR - http://www.scopus.com/inward/record.url?scp=85099954925&partnerID=8YFLogxK
U2 - 10.1021/acs.analchem.0c04049
DO - 10.1021/acs.analchem.0c04049
M3 - Article
AN - SCOPUS:85099954925
SN - 0003-2700
VL - 93
SP - 2191
EP - 2199
JO - Analytical Chemistry
JF - Analytical Chemistry
IS - 4
ER -