Daojian Qi, Yan Wu, Wenbo Mo, Jiaxing Wen, Shuang Ni, Jinglin Huang, Wei Le, Yudan He, Jia Li, Minjie Zhou
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引用次数: 0
Abstract
While SERS-based detection can bring some advantages, it is far away from being established as a routine method in clinical diagnostics. In this study, a SERS-labeled immunochromatographic test paper was prepared. The rapid detection of SARS-CoV-2 was realized by the machine learning algorithm of the Raman probe; the whole testing process takes less than 25 min, and the rapid detection of SARS-CoV-2 can be realized. After experimental evaluation, the sensitivity of the test strip for SARS-CoV-2 N protein detection can be 1 pg/mL, which is 3 orders of magnitude higher than that of the colloidal gold antigen detection strip on the market. In the detection of clinical samples, nucleic acid detection was used as the gold standard, and the accuracy was 84.21%.
期刊介绍：
The first international journal dedicated to publishing reviews and original articles from this exciting field, the Journal of Biophotonics covers the broad range of research on interactions between light and biological material. The journal offers a platform where the physicist communicates with the biologist and where the clinical practitioner learns about the latest tools for the diagnosis of diseases. As such, the journal is highly interdisciplinary, publishing cutting edge research in the fields of life sciences, medicine, physics, chemistry, and engineering. The coverage extends from fundamental research to specific developments, while also including the latest applications.
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