Evidence map›Paper›PMID 35028768›Full record

ArticleLasers in medical science2022

Diagnosing COVID-19 in human serum using Raman spectroscopy.

Ana Cristina Castro Goulart, Landulfo Silveira, Henrique Cunha Carvalho, Cristiane Bissoli Dorta, Marcos Tadeu T Pacheco, Renato Amaro Zângaro

Abstract read
In one paragraph

Article in Lasers in medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Utility of Raman Spectroscopy in Pulmonary Medicine.Advances in respiratory medicine · 2024
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ana Cristina Castro GoulartUniversidade Anhembi Morumbi - UAM, Rua Casa Do Ator, 275, São Paulo, SP, 04546-001, Brazil.
Landulfo SilveiraUniversidade Anhembi Morumbi - UAM, Rua Casa Do Ator, 275, São Paulo, SP, 04546-001, Brazil. landulfo.silveira@gmail.com.
Henrique Cunha CarvalhoCenter for Innovation, Technology and Education - CITÉ, Parque Tecnológico de São José Dos Campos, Estrada Dr. Altino Bondensan, 500, São José dos Campos, SP, 12247-016, Brazil.
Cristiane Bissoli DortaLaboratório CIPAX, Avenida Nove de Julho, 507, São José dos Campos, SP, 12243-000, Brazil.
Marcos Tadeu T PachecoUniversidade Anhembi Morumbi - UAM, Rua Casa Do Ator, 275, São Paulo, SP, 04546-001, Brazil.
Renato Amaro ZângaroUniversidade Anhembi Morumbi - UAM, Rua Casa Do Ator, 275, São Paulo, SP, 04546-001, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19Spectrum Analysis, RamanAmino AcidsDiscriminant AnalysisHumansPrincipal Component AnalysisSerumAmino AcidsCOVID-19DiagnosisPrincipal component analysisRaman spectroscopySARS-CoV-2Serum

Identifiers

PMID35028768
PMCPMC8758209

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.