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
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
Citations
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Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques
TL;DR: A brief review on the recent developments in the surface-enhanced Raman spectroscopy/scattering (SERS) technique for biosensing applications, with a particular focus on machine learning techniques used for the same can be found in this paper .
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Current state-of-art nanotechnology applications for developing SARS-CoV-2-detecting biosensors: A review
TL;DR: This critical review offers insight into the biosensor community in furthering the present research, which may streamline attrition problems for rapid and large-scale SARS-CoV-2 screening.
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State-of-the-art nanotechnologies used in the development of SARS-CoV-2 biosensors: a review
TL;DR: This critical review offers the biosensor community insight into how to progress the present research, which may streamline the removal of the problems facing rapid and large-scale SARS-CoV-2 screening.
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Methods of optical spectroscopy in detection of virus in infected samples: A review
Muhammad Izzuddin Rumaling,Fuei Pien Chee,Abdullah Bade,Nurdiyana Hasbi,Sylvia Daim,Floressy Juhim,Mivolil Duinong,Rosfayanti Rasmidi +7 more
TL;DR: In this article , four optical spectroscopy methods are discussed: ultraviolet (UV), infrared (IR), Raman, and fluorescence spectroglobalization (FLG) for detecting SARS-CoV-2.
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Raman spectroscopy for viral diagnostics
TL;DR: In this paper , a review of various Raman techniques employed for the investigation of viruses is presented, including conventional Raman spectroscopy, surface-enhanced Raman scattering, Raman tweezer, tip enhanced Raman Spectroscopy and coherent anti-Stokes scattering.
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