Fast Screening and Primary Diagnosis of COVID-19 by ATR-FT-IR

Liyang Zhang, Meng Xiao, Yao Wang, Siqi Peng, Yu Chen, Dong Zhang, Dongheyu Zhang, Yuntao Guo, Xinxin Wang, Haiyun Luo*, Qun Zhou*, Yingchun Xu*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

50 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)2191-2199
页数9
期刊Analytical Chemistry
93
4
DOI
出版状态已出版 - 2 2月 2021
已对外发布

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