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A Combined approach of MALDI-TOF Mass Spectrometry and multivariate analysis as a potential tool for the detection of SARS-CoV-2 virus in nasopharyngeal swabs
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Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
A Combined approach of MALDI-TOF Mass Spectrometry and multivariate analysis as a potential tool for the detection of SARS-CoV-2 virus in nasopharyngeal swabs
Creator
Baumeister, Elsa
María, Elena
Avaro, Martín
Benedetti, Estefanía
Dattero,
Florencia Rocca, María
Ledesma, Martín
Nachtigall, Fabiane
Prieto, Mónica
Russo, Mara
Santos, Leonardo
Vay, Carlos
Zintgraff, Jonathan
source
BioRxiv
abstract
Coronavirus disease 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The rapid, sensitive and specific diagnosis of SARS-CoV-2 by fast and unambiguous testing is widely recognized to be critical in responding to the ongoing outbreak. Since the current testing capacity of RT-PCR-based methods is being challenged due to the extraordinary demand of supplies, such as RNA extraction kits and PCR reagents worldwide, alternative and/or complementary testing assays should be developed. Here, we exploit the potential of mass spectrometry technology combined with machine learning algorithms as an alternative fast tool for SARS-CoV-2 detection from nasopharyngeal swabs samples. According to our preliminary results, mass spectrometry-based methods combined with multivariate analysis showed an interesting potential as a complementary diagnostic tool and further steps should be focused on sample preparation protocols and the improvement of the technology applied.
has issue date
2020-05-07
(
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bibo:doi
10.1101/2020.05.07.082925
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biorxiv
sha1sum (hex)
fae979a6ca888d452573a8b759d6e6cc62da808a
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https://doi.org/10.1101/2020.05.07.082925
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A Combined approach of MALDI-TOF Mass Spectrometry and multivariate analysis as a potential tool for the detection of SARS-CoV-2 virus in nasopharyngeal swabs
schema:publication
bioRxiv
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covid:fae979a6ca888d452573a8b759d6e6cc62da808a#body_text
is
schema:about
of
named entity 'RNA extraction'
named entity 'exploit'
named entity 'MALDI-TOF'
named entity 'multivariate analysis'
named entity 'BASED'
named entity 'PROTOCOLS'
named entity 'SUPPLIES'
named entity 'swabs'
named entity 'severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)'
named entity 'diagnosis'
named entity 'assays'
named entity 'recognized'
named entity 'alternative'
named entity 'focused'
named entity 'testing'
named entity 'Combined'
named entity 'tool'
named entity 'RNA extraction'
named entity 'MALDI-TOF'
named entity 'algorithms'
named entity 'clinical samples'
named entity 'COVID'
named entity 'MALDI'
named entity 'COVID'
named entity 'Ghent'
named entity 'sensitivity, specificity'
named entity 'analysis of the spectra'
named entity 'RNA extraction'
named entity 'biomarker'
named entity 'Germany'
named entity 'Bremen'
named entity 'Bruker Daltonics'
named entity 'SARS-CoV-2'
named entity 'list calculation'
named entity 'pathogenic viruses'
named entity 'Biomarker'
named entity 'lockdown measures'
named entity 'vaccine'
named entity 'SARS-CoV-2'
named entity 'database'
named entity 'database'
named entity 'World Health Organization'
named entity 'Bruker Daltonics'
named entity 'coronavirus disease 2019'
named entity 'Belgium'
named entity 'Preprint'
named entity 'assaying'
named entity 'diagnostic tool'
named entity 'MALDI-TOF MS'
named entity 'statistical analysis'
named entity 'scientific community'
named entity 'COVID'
named entity 'PCR'
named entity 'RT-PCR'
named entity 'Applied Maths'
named entity 'COVID'
named entity 'database'
named entity 'SARS-CoV-2 virus'
named entity 'Maldi'
named entity 'healthcare systems'
named entity 'SARS-CoV-2'
named entity 'mzXML'
named entity 'MALDI-TOF MS'
named entity 'Wuhan'
named entity 'MSPs'
named entity 'MALDI-TOF MS'
named entity 'Germany'
named entity 'machine learning'
named entity 'Germany'
named entity 'SARS-CoV-2'
named entity 'MSPs'
named entity 'biomarkers'
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