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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TLDR
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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Detection of live SARS-CoV-2 virus and its variants by specially designed SERS-active substrates and spectroscopic analyses
Jaya L. Sitjar,Jiunn Der Liao,Han Lee,Huey Pin Tsai,Jen Ren Wang,Hao Wang,Bernard Haochih Liu +6 more
TL;DR: In this paper , a method using label-free surface enhanced Raman spectroscopy (SERS) based on substrate design is provided for an early detection and differentiation of spike glycoprotein mutation sites in live SARS-CoV-2 variants.
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SARS‐CoV‐2 severity classification from plasma sample using confocal Raman spectroscopy
Arghya Banerjee,Ankit Halder,Priyanka A. Jadhav,Anushka Sarkar,Arti Hole,Jayanthi Shastri,Sachee Agrawal,Murali Krishna Chilakapati,Sanjeeva Srivastava +8 more
TL;DR: In this article , the potential of confocal Raman microspectroscopy as a powerful tool to generate an expeditious blood-based test for the classification of COVID•19 disease severity using 65 patients plasma samples from cohorts infected with SARS•CoV•2.
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Combined Morphological and Spectroscopic Diagnostic of HER2 Expression in Breast Cancer Tissues Based on Label-Free Surface-Enhanced Raman Scattering.
Wenbo Mo,Qi Ke,Minjie Zhou,Gangqiang Xie,Jinglin Huang,Feng Gao,Shuang Ni,Xiyue Yang,Daojian Qi,Anqun Wang,Jiaxing Wen,Yue Yang,Meng Jing,Kai Du,Xuewu Wang,Xiaobo Du,Zongqin Zhao +16 more
TL;DR: In this paper , a combined morphological and spectroscopic diagnostic method based on label-free surface-enhanced Raman scattering (SERS) for HER2 expression in breast cancer is proposed.
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