Raman Spectroscopy Based Detection of RNA viruses in Saliva: a preliminary report.,Journal of Biophotonics

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Raman Spectroscopy Based Detection of RNA viruses in Saliva: a preliminary report.
Journal of Biophotonics ( IF 2.0 ) Pub Date : 2020-07-01 , DOI: 10.1002/jbio.202000189
Sanket Desai _{1,

2} , Saket V Mishra _{2,

3} , Asim Joshi _{1,

2} , Debashmita Sarkar _{2,

3} , Arti Hole ₄ , Rohit Mishra _{1,

2} , Shilpee Dutt _{2,

3} , Murali K Chilakapati _{2,

4} , Sudeep Gupta _{2,

5} , Amit Dutt _{1,

2,

6}

Affiliation

Several non‐invasive Raman spectroscopy‐based assays have been reported for rapid and sensitive detection of pathogens. We developed a novel statistical model for the detection of RNA viruses in saliva, based on an unbiased selection of a set of 65 Raman spectral features that mostly attribute to the RNA moieties, with a prediction accuracy of 91.6% (92.5% sensitivity and 88.8% specificity). Furthermore, to minimize variability and automate the downstream analysis of the Raman spectra, we developed a GUI‐based analytical tool “RNA Virus Detector (RVD).” This conceptual framework to detect RNA viruses in saliva could form the basis for field application of Raman Spectroscopy in managing viral outbreaks, such as the ongoing COVID‐19 pandemic. (http://www.actrec.gov.in/pi-webpages/AmitDutt/RVD/RVD.html).

中文翻译：

基于拉曼光谱的唾液中 RNA 病毒检测：初步报告。

据报道，几种基于非侵入性拉曼光谱的检测可用于快速、灵敏地检测病原体。我们开发了一种新颖的统计模型，用于检测唾液中的 RNA 病毒，该模型基于对一组 65 个拉曼光谱特征的无偏选择，这些特征主要归因于 RNA 部分，预测准确度为 91.6%（灵敏度为 92.5%，准确度为 88.8%）。特异性）。此外，为了最大限度地减少变异性并自动化拉曼光谱的下游分析，我们开发了一种基于 GUI 的分析工具“RNA 病毒检测器 (RVD)”。这种检测唾液中 RNA 病毒的概念框架可以为拉曼光谱在管理病毒爆发（例如正在进行的 COVID-19 大流行）中的现场应用奠定基础。（http://www.actrec.gov.in/pi-webpages/AmitDutt/RVD/RVD.html）。

更新日期：2020-07-01

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