On-Site Detection of SARS-CoV-2 Antigen by Deep Learning-Based Surface-Enhanced Raman Spectroscopy and Its Biochemical Foundations

被引：75

作者：

Huang, Jinglin ^{[1
]}

Wen, Jiaxing ^{[1
,2
]}

Zhou, Minjie ^{[1
]}

Ni, Shuang ^{[1
]}

Le, Wei ^{[1
]}

Chen, Guo ^{[1
]}

Wei, Lai ^{[1
]}

Zeng, Yong ^{[1
]}

Qi, Daojian ^{[1
]}

Pan, Ming ^{[3
]}

Xu, Jianan ^{[3
]}

Wu, Yan ^{[4
]}

Li, Zeyu ^{[1
]}

Feng, Yuliang ^{[3
]}

Zhao, Zongqing ^{[1
]}

He, Zhibing ^{[1
]}

Li, Bo ^{[1
]}

Zhao, Songnan ^{[1
]}

Zhang, Baohan ^{[1
]}

Xue, Peili ^{[4
]}

He, Shusen ^{[3
]}

Fang, Kun ^{[4
]}

Zhao, Yuanyu ^{[4
]}

Du, Kai ^{[1
]}

机构：

[1] China Acad Engn Phys, Laser Fus Res Ctr, Mianyang 621900, Sichuan, Peoples R China

[2] Tsinghua Univ, Dept Engn Phys, Beijing 100084, Peoples R China

[3] Sichuan Prov Ctr Dis Control & Prevent, Chengdu 610041, Peoples R China

[4] Sichuan Sci City Hosp, Mianyang 621000, Sichuan, Peoples R China

来源：

ANALYTICAL CHEMISTRY | 2021年 / 93卷 / 26期

基金：

中国国家自然科学基金;

关键词：

NANOPARTICLES; SPECTRA; PCR;

D O I：

10.1021/acs.analchem.1c01061

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

A rapid, on-site, and accurate SARS-CoV-2 detection method is crucial for the prevention and control of the COVID-19 epidemic. However, such an ideal screening technology has not yet been developed for the diagnosis of SARS-CoV-2. Her; we have developed a deep learning-based surface-enhanced Raman spectroscopy technique for the sensitive, rapid, and on-site detection of the SARS-CoV-2 antigen in the throat swabs or sputum from 30 confirmed COVID-19 patients. A Raman database based on the spike protein of SARS-CoV-2 was established from experiments and theoretical calculations. The corresponding biochemical foundation for this method is also discussed. The deep learning model could predict the SARS-CoV-2 antigen with an identification accuracy of 87.7%. These results suggested that this method has great potential for the diagnosis, monitoring, and control of SARS-CoV-2 worldwide.

引用

页码：9174 / 9182

页数：9

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