On-Site Detection of SARS-CoV-2 Antigen by Deep Learning-Based Surface-Enhanced Raman Spectroscopy and Its Biochemical Foundations.
Jinglin Huang,Wen Jiaxing,Wen Jiaxing,Minjie Zhou,Ni Shuang,Wei Le,Chen Guo,Lai Wei,Yong Zeng,Daojian Qi,Ming Pan,Jianan Xu,Yan Wu,Li Zeyu,Yuliang Feng,Zongqing Zhao,Zhibing He,Li Bo,Zhao Songnan,Baohan Zhang,Peili Xue,Shusen He,Kun Fang,Yuanyu Zhao,Kai Du +24 more
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In this article, a deep learning-based surface-enhanced Raman spectroscopy technique was developed 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.Abstract:
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. Here, 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.read more
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Label-Free Spectroscopic SARS-CoV-2 Detection on Versatile Nanoimprinted Substrates
TL;DR: A large-area and label-free testing platform that combines surface-enhanced Raman spectroscopy and machine learning for the rapid and accurate detection of SARS-CoV-2, and envision that it will offer an important tool for virus detection and future outbreak preparedness.
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Surface-enhanced Raman scattering-based immunoassay for severe acute respiratory syndrome coronavirus 2
Hyun-Sook Cha,Hyeran Kim,Younju Joung,Jeong Moon,Hyowon Jang,So Yeon Park,Hyung-Jun Kwon,In-Chul Lee,Sunjoo Kim,Dongeun Yong,Sun-Woo Yoon,Sung-Gyu Park,Kyeonghye Guk,Eun Kyung Lim,Hyun Gyu Park,Jaebum Choo,Ju Yeon Jung,Taejoon Kang +17 more
TL;DR: A surface-enhanced Raman scattering (SERS)-based immunoassay involving an antibody pair, SERS-active hollow Au nanoparticles (NPs), and magnetic beads for the detection of SARS-CoV-2 was presented in this article .
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Performance of Antigen Detection Tests for SARS-CoV-2: A Systematic Review and Meta-Analysis
Anastasia Tapari,Georgia G. Braliou,Maria Papaefthimiou,Helen Mavriki,Panagiota I. Kontou,Georgios K. Nikolopoulos,Pantelis G. Bagos +6 more
TL;DR: LFIA tests, though with moderate sensitivity, appear as the most attractive method for use in POCs and for performing seroprevalence studies, and rapid ATs show higher sensitivity in symptomatic patients compared to asymptomatic patients.
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Probing the mutation independent interaction of DNA probes with SARS-CoV-2 variants through a combination of surface-enhanced Raman scattering and machine learning
TL;DR: In this article , a set of DNA probes targeting a specific segment of the nucleocapsid phosphoprotein (N) gene of SARS-CoV-2 with high binding efficiency was developed.
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High-sensitivity and point-of-care detection of SARS-CoV-2 from nasal and throat swabs by magnetic SERS biosensor
TL;DR: In this article , a point-of-care detection method based on magnetic SERS biosensor composed of Fe3O4-Au nanocomposite and Au nanoneedles array was developed to detect SARS-CoV-2 directly.
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