Diagnosing COVID-19 in human serum using Raman spectroscopy

This study proposed the diagnosis of COVID-19 by means of Raman spectroscopy. Samples of blood serum from 10 patients positive and 10 patients negative for COVID-19 by RT-PCR RNA and ELISA tests were analyzed. Raman spectra were obtained with a dispersive Raman spectrometer (830 nm, 350 mW) in tripl...

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Published in:Lasers in medical science Vol. 37; no. 4; pp. 2217 - 2226
Main Authors: Goulart, Ana Cristina Castro, Silveira, Landulfo, Carvalho, Henrique Cunha, Dorta, Cristiane Bissoli, Pacheco, Marcos Tadeu T., Zângaro, Renato Amaro
Format: Journal Article
Language:English
Published: London Springer London 01-06-2022
Springer Nature B.V
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Abstract This study proposed the diagnosis of COVID-19 by means of Raman spectroscopy. Samples of blood serum from 10 patients positive and 10 patients negative for COVID-19 by RT-PCR RNA and ELISA tests were analyzed. Raman spectra were obtained with a dispersive Raman spectrometer (830 nm, 350 mW) in triplicate, being submitted to exploratory analysis with principal component analysis (PCA) to identify the spectral differences and discriminant analysis with PCA (PCA-DA) and partial least squares (PLS-DA) for classification of the blood serum spectra into Control and COVID-19. The spectra of both groups positive and negative for COVID-19 showed peaks referred to the basal constitution of the serum (mainly albumin). The difference spectra showed decrease in the peaks referred to proteins and amino acids for the group positive. PCA variables showed more detailed spectral differences related to the biochemical alterations due to the COVID-19 such as increase in lipids, nitrogen compounds (urea and amines/amides) and nucleic acids, and decrease of proteins and amino acids (tryptophan) in the COVID-19 group. The discriminant analysis applied to the principal component loadings (PC2, PC4, PC5, and PC6) could classify spectra with 87% sensitivity and 100% specificity compared to 95% sensitivity and 100% specificity indicated in the RT-PCR kit leaflet, demonstrating the possibilities of a rapid, label-free, and costless technique for diagnosing COVID-19 infection.
AbstractList This study proposed the diagnosis of COVID-19 by means of Raman spectroscopy. Samples of blood serum from 10 patients positive and 10 patients negative for COVID-19 by RT-PCR RNA and ELISA tests were analyzed. Raman spectra were obtained with a dispersive Raman spectrometer (830 nm, 350 mW) in triplicate, being submitted to exploratory analysis with principal component analysis (PCA) to identify the spectral differences and discriminant analysis with PCA (PCA-DA) and partial least squares (PLS-DA) for classification of the blood serum spectra into Control and COVID-19. The spectra of both groups positive and negative for COVID-19 showed peaks referred to the basal constitution of the serum (mainly albumin). The difference spectra showed decrease in the peaks referred to proteins and amino acids for the group positive. PCA variables showed more detailed spectral differences related to the biochemical alterations due to the COVID-19 such as increase in lipids, nitrogen compounds (urea and amines/amides) and nucleic acids, and decrease of proteins and amino acids (tryptophan) in the COVID-19 group. The discriminant analysis applied to the principal component loadings (PC2, PC4, PC5, and PC6) could classify spectra with 87% sensitivity and 100% specificity compared to 95% sensitivity and 100% specificity indicated in the RT-PCR kit leaflet, demonstrating the possibilities of a rapid, label-free, and costless technique for diagnosing COVID-19 infection.
This study proposed the diagnosis of COVID-19 by means of Raman spectroscopy. Samples of blood serum from 10 patients positive and 10 patients negative for COVID-19 by RT-PCR RNA and ELISA tests were analyzed. Raman spectra were obtained with a dispersive Raman spectrometer (830 nm, 350 mW) in triplicate, being submitted to exploratory analysis with principal component analysis (PCA) to identify the spectral differences and discriminant analysis with PCA (PCA-DA) and partial least squares (PLS-DA) for classification of the blood serum spectra into Control and COVID-19. The spectra of both groups positive and negative for COVID-19 showed peaks referred to the basal constitution of the serum (mainly albumin). The difference spectra showed decrease in the peaks referred to proteins and amino acids for the group positive. PCA variables showed more detailed spectral differences related to the biochemical alterations due to the COVID-19 such as increase in lipids, nitrogen compounds (urea and amines/amides) and nucleic acids, and decrease of proteins and amino acids (tryptophan) in the COVID-19 group. The discriminant analysis applied to the principal component loadings (PC2, PC4, PC5, and PC6) could classify spectra with 87% sensitivity and 100% specificity compared to 95% sensitivity and 100% specificity indicated in the RT-PCR kit leaflet, demonstrating the possibilities of a rapid, label-free, and costless technique for diagnosing COVID-19 infection.
Author Goulart, Ana Cristina Castro
Carvalho, Henrique Cunha
Pacheco, Marcos Tadeu T.
Zângaro, Renato Amaro
Silveira, Landulfo
Dorta, Cristiane Bissoli
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  fullname: Goulart, Ana Cristina Castro
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  givenname: Landulfo
  surname: Silveira
  fullname: Silveira, Landulfo
  email: landulfo.silveira@gmail.com, lsjunior@anhembi.br
  organization: Universidade Anhembi Morumbi – UAM, Rua Casa Do Ator, Center for Innovation, Technology and Education – CITÉ, Parque Tecnológico de São José Dos Campos
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  givenname: Henrique Cunha
  surname: Carvalho
  fullname: Carvalho, Henrique Cunha
  organization: Center for Innovation, Technology and Education – CITÉ, Parque Tecnológico de São José Dos Campos
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  givenname: Cristiane Bissoli
  surname: Dorta
  fullname: Dorta, Cristiane Bissoli
  organization: Laboratório CIPAX, Avenida Nove de Julho
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  givenname: Marcos Tadeu T.
  surname: Pacheco
  fullname: Pacheco, Marcos Tadeu T.
  organization: Universidade Anhembi Morumbi – UAM, Rua Casa Do Ator
– sequence: 6
  givenname: Renato Amaro
  surname: Zângaro
  fullname: Zângaro, Renato Amaro
  organization: Universidade Anhembi Morumbi – UAM, Rua Casa Do Ator, Center for Innovation, Technology and Education – CITÉ, Parque Tecnológico de São José Dos Campos
BackLink https://www.ncbi.nlm.nih.gov/pubmed/35028768$$D View this record in MEDLINE/PubMed
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Issue 4
Keywords COVID-19
Serum
SARS-CoV-2
Diagnosis
Raman spectroscopy
Principal component analysis
Language English
License 2021. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
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  doi: 10.34119/bjhrv3n2-185
– ident: 3488_CR1
– volume: 144
  start-page: 4295
  issue: 14
  year: 2019
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  publication-title: Analyst
  doi: 10.1039/c9an00599d
  contributor:
    fullname: DR Parachalil
– volume: 144
  start-page: 1457
  issue: 12
  year: 2020
  ident: 3488_CR47
  publication-title: Arch Pathol Lab Med
  doi: 10.5858/arpa.2020-0389-SA
  contributor:
    fullname: E Aloisio
– volume: 46
  start-page: 4
  issue: 1
  year: 2015
  ident: 3488_CR53
  publication-title: J Raman Spectrosc
  doi: 10.1002/jrs.4607
  contributor:
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Snippet This study proposed the diagnosis of COVID-19 by means of Raman spectroscopy. Samples of blood serum from 10 patients positive and 10 patients negative for...
This study proposed the diagnosis of COVID-19 by means of Raman spectroscopy. Samples of blood serum from 10 patients positive and 10 patients negative for...
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StartPage 2217
SubjectTerms Albumins
Amides
Amines
Amino acids
Blood
Coronaviruses
COVID-19
Dentistry
Discriminant analysis
Lasers
Lipids
Medical diagnosis
Medicine
Medicine & Public Health
Nitrogen compounds
Nucleic acids
Optical Devices
Optics
Original
Original Article
Photonics
Polymerase chain reaction
Principal components analysis
Proteins
Quantum Optics
Raman spectra
Raman spectroscopy
Spectral sensitivity
Spectroscopy
Spectrum analysis
Tryptophan
Urea
Title Diagnosing COVID-19 in human serum using Raman spectroscopy
URI https://link.springer.com/article/10.1007/s10103-021-03488-7
https://www.ncbi.nlm.nih.gov/pubmed/35028768
https://www.proquest.com/docview/2670734406
https://search.proquest.com/docview/2620079866
https://pubmed.ncbi.nlm.nih.gov/PMC8758209
Volume 37
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