Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/60207
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dc.contributor.authorKipping, Marc-
dc.contributor.authorTänzler, Dirk-
dc.contributor.authorSinz, Andrea-
dc.date.accessioned2022-01-26T10:30:26Z-
dc.date.available2022-01-26T10:30:26Z-
dc.date.issued2021-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/62158-
dc.identifier.urihttp://dx.doi.org/10.25673/60207-
dc.description.abstractWe describe a rapid liquid chromatography/tandem mass spectrometry (LC-MS/MS) method for the direct detection and quantitation of SARS-CoV-2 nucleoprotein in gargle solutions and saliva. The method is based on a multiple-reaction monitoring (MRM) mass spectrometry approach with a total cycle time of 5 min per analysis and allows the detection and accurate quantitation of SARS-CoV-2 nucleoprotein as low as 500 amol/μL. We improved the sample preparation protocol of our recent piloting SARS-CoV-2 LC-MS study regarding sensitivity, reproducibility, and compatibility with a complementary reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) analysis of the same sample. The aim of this work is to promote diagnostic tools that allow identifying and monitoring SARS-CoV-2 infections by LC-MS/MS methods in a routine clinical environment.eng
dc.description.sponsorshipPublikationsfonds MLU-
dc.language.isoeng-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subject.ddc572-
dc.titleA rapid and reliable liquid chromatography/mass spectrometry method for SARS-CoV-2 analysis from gargle solutions and salivaeng
dc.typeArticle-
local.versionTypepublishedVersion-
local.bibliographicCitation.journaltitleAnalytical and Bioanalytical Chemistry-
local.bibliographicCitation.volume413-
local.bibliographicCitation.pagestart6503-
local.bibliographicCitation.pageend6511-
local.bibliographicCitation.publishernameSpringer-
local.bibliographicCitation.publisherplaceBerlin-
local.bibliographicCitation.doi10.1007/s00216-021-03614-y-
local.openaccesstrue-
local.accessrights.dnbfree-
Appears in Collections:Open Access Publikationen der MLU

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