Fast Screening and Primary Diagnosis of COVID-19 by ATR–FT-IR
Author(s) -
Liyang Zhang,
Meng Xiao,
Yao Wang,
Siqi Peng,
Yu Chen,
Dong Zhang,
Dongheyu Zhang,
Yuntao Guo,
Xinxin Wang,
Haiyun Luo,
Qun Zhou,
Yingchun Xu
Publication year - 2021
Publication title -
analytical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.117
H-Index - 332
eISSN - 1520-6882
pISSN - 0003-2700
DOI - 10.1021/acs.analchem.0c04049
Subject(s) - covid-19 , chemistry , linear discriminant analysis , attenuated total reflection , receiver operating characteristic , outbreak , multivariate analysis , partial least squares regression , chromatography , infrared spectroscopy , analytical chemistry (journal) , medicine , virology , disease , statistics , infectious disease (medical specialty) , mathematics , organic chemistry
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.
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