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Erschienen in: Lasers in Medical Science 1/2023

01.12.2023 | Original Article

Diagnosing COVID-19 in nasopharyngeal secretion through Raman spectroscopy: a feasibility study

verfasst von: Ana Cristina Castro Goulart, Renato Amaro Zângaro, Henrique Cunha Carvalho, Igor K. Lednev, Landulfo Silveira Jr

Erschienen in: Lasers in Medical Science | Ausgabe 1/2023

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Abstract

Since the beginning of the COVID-19 pandemic, the scientific community has sought to develop fast and accurate techniques for detecting the SARS-CoV-2 virus. Raman spectroscopy is a promising technique for diagnosing COVID-19 through serum samples. In the present study, the diagnosis of COVID-19 through nasopharyngeal secretion has been proposed. Raman spectra from nasopharyngeal secretion samples (15 Control, negative and 12 COVID-19, positive, assayed by immunofluorescence antigen test) were obtained in triplicate in a dispersive Raman spectrometer (830 nm, 350 mW), accounting for a total of 80 spectra. Using principal component analysis (PCA) the main spectral differences between the Control and COVID-19 samples were attributed to N and S proteins from the virus in the COVID-19 group. Features assigned to mucin (serine, threonine and proline amino acids) were observed in the Control group. A binary model based on partial least squares discriminant analysis (PLS-DA) differentiated COVID-19 versus Control samples with accuracy of 91%, sensitivity of 80% and specificity of 100%. Raman spectroscopy has a great potential for becoming a technique of choice for rapid and label-free evaluation of nasopharyngeal secretion for COVID-19 diagnosis.
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Metadaten
Titel
Diagnosing COVID-19 in nasopharyngeal secretion through Raman spectroscopy: a feasibility study
verfasst von
Ana Cristina Castro Goulart
Renato Amaro Zângaro
Henrique Cunha Carvalho
Igor K. Lednev
Landulfo Silveira Jr
Publikationsdatum
01.12.2023
Verlag
Springer London
Erschienen in
Lasers in Medical Science / Ausgabe 1/2023
Print ISSN: 0268-8921
Elektronische ISSN: 1435-604X
DOI
https://doi.org/10.1007/s10103-023-03871-6

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