The Label-Free Detection and Identification of SARS-CoV-2 Using Surface-Enhanced Raman Spectroscopy and Principal Component Analysis

Lu Zhou, Ambra Vestri, Valentina Marchesano, Massimo Rippa, Domenico Sagnelli, Gerardo Picazio, Giovanna Fusco, Jiaguang Han, Jun Zhou, Lucia Petti · 2023

Read The Label-Free Detection and Identification of SARS-CoV-2 Using Surface-Enhanced Raman Spectroscopy and Principal Component Analysis by Lu Zhou, Ambra Vestri, Valentina Marchesano, Massimo Rippa, Domenico Sagnelli, Gerardo Picazio, Giovanna Fusco, Jiaguang Han, Jun Zhou, Lucia Petti (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10741931.txt.

Description

Lu Zhou and nine co-authors present a 2023 paper on detecting the COVID-19 virus with light scattering instead of labels or probes. Their method uses surface-enhanced Raman spectroscopy: molecules on a gold nanoparticle film scatter laser light in a fingerprint pattern, hugely amplified. Spectra were collected from four coronavirus types grown on the film. The signals were rich enough to detect the virus at very low doses.

A standard statistical method, principal component analysis, then pulled out the key bands that separate the viruses. It distinguished SARS-CoV-2 and its variant from the other coronaviruses in the set. The authors argue the pairing of the spectroscopy with the analysis could identify multiple viruses quickly, even new ones, without designing a specific probe for each. The work points toward fast, low-cost virus screening for future outbreaks.

Catalog record

CREATORLu Zhou, Ambra Vestri, Valentina Marchesano, Massimo Rippa, Domenico Sagnelli, Gerardo Picazio, Giovanna Fusco, Jiaguang Han, Jun Zhou, Lucia Petti
YEAR2023
COLLECTIONPAPERS
FORMATTXT
FILE SIZE23 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC10741931

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