Intelligent Surface-Enhanced Raman Scattering Sensor System for Virus Identification
Author:
Affiliation:
1. School of Electrical & Comp. Engineering, The University of Georgia,Athens,GA,USA,30602
2. The University of Georgia,Dept. of Physics and Astronomy,Athens,GA,USA,30602
3. The University of Georgia,Dept. of Infectious Diseases,Athens,GA,USA,30602
Funder
NSF
DOD
DOE
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001014.pdf?arnumber=10001014
Reference29 articles.
1. COVID-19 salivary Raman fingerprint: innovative approach for the detection of current and past SARS-CoV-2 infections
2. Early detection of virus infection in live human cells using Raman spectroscopy
3. Saliva-based detection of COVID-19 infection in a real-world setting using reagent-free Raman spectroscopy and machine learning
4. Analysis of Machine Learning Methods for COVID-19 Detection Using Serum Raman Spectroscopy
5. Raman spectroscopy: the gateway into tomorrow's virology
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