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dc.contributor.authorHong, Joo Yeon-
dc.contributor.authorPark, Na Hyun-
dc.contributor.authorOh, Myung Sook-
dc.contributor.authorLee, Hye-Sook-
dc.contributor.authorPyo, Heesoo-
dc.contributor.authorHong, Jongki-
dc.date.accessioned2024-01-20T11:01:25Z-
dc.date.available2024-01-20T11:01:25Z-
dc.date.created2021-09-05-
dc.date.issued2013-12-01-
dc.identifier.issn1570-0232-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/127349-
dc.description.abstractThe profiling analysis of biogenic amines, including catecholamines and serotonin, and their metabolites in mouse brain tissue provides an important key to understanding their roles in the body and the possibility of simple and accurate diagnosis of neural diseases. A novel approach in the analysis of biogenic amines and their acidic metabolites in brain tissue using gas chromatography-tandem mass spectrometry (GC-MS/MS) is presented. Biogenic amines and their acidic metabolites in brain tissue were effectively separated using a mixed-cation-exchange solid-phase extraction (MCX-SPE) cartridge with a variation in the composition of the SPE elution solvents. A selective derivatization with hexamethyldisilazane (HMDS) and N-methyl-bis-heptafluorobutyramide (MBHFBA) was used to increase the detection sensitivity and to prevent the formation of any side-products. The identification and quantification of the target analytes were performed by gas chromatography triple quadrupole mass spectrometry (GC-MS/MS) using multiple ion reaction monitoring (MRM) mode. The overall recovery yields of the biogenic amines and their metabolites were above 87.5% at 10 ng/g and 92.4% at 100 ng/g of spiking concentration range. The isotopic-labeled internal standards were used for the precise quantification of bioamines and their metabolites. The calibration curves for the biogenic amines and their metabolites obtained through GC-MS/MS were linear (r(2) > 0.995) over the concentration range of 1 (2 or 3)-200 ng/mL. The present method was reproducible (relative standard deviation range 0.6-9.3%) and accurate (range 85.4-107.9%), with LLOQs of 0.71.-3.69 ng/mL. The developed method was successfully applied to the determination and quantification of bioamines and their metabolites in rat brain tissue samples. (C) 2013 Elsevier B.V. All rights reserved.-
dc.languageEnglish-
dc.publisherELSEVIER-
dc.subjectPERFORMANCE LIQUID-CHROMATOGRAPHY-
dc.subjectRAT-BRAIN-
dc.subjectHUMAN URINE-
dc.subjectSENSITIVE METHOD-
dc.subjectNEUROTRANSMITTERS-
dc.subjectQUANTIFICATION-
dc.subjectCATECHOLAMINES-
dc.subjectDOPAMINE-
dc.subjectDERIVATIZATION-
dc.subjectPLASMA-
dc.titleProfiling analysis of biogenic amines and their acidic metabolites in mouse brain tissue using gas chromatography-tandem mass spectrometry-
dc.typeArticle-
dc.identifier.doi10.1016/j.jchromb.2013.09.026-
dc.description.journalClass1-
dc.identifier.bibliographicCitationJOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, v.940, pp.94 - 103-
dc.citation.titleJOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES-
dc.citation.volume940-
dc.citation.startPage94-
dc.citation.endPage103-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000326614400013-
dc.identifier.scopusid2-s2.0-84886043205-
dc.relation.journalWebOfScienceCategoryBiochemical Research Methods-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaChemistry-
dc.type.docTypeArticle-
dc.subject.keywordPlusPERFORMANCE LIQUID-CHROMATOGRAPHY-
dc.subject.keywordPlusRAT-BRAIN-
dc.subject.keywordPlusHUMAN URINE-
dc.subject.keywordPlusSENSITIVE METHOD-
dc.subject.keywordPlusNEUROTRANSMITTERS-
dc.subject.keywordPlusQUANTIFICATION-
dc.subject.keywordPlusCATECHOLAMINES-
dc.subject.keywordPlusDOPAMINE-
dc.subject.keywordPlusDERIVATIZATION-
dc.subject.keywordPlusPLASMA-
dc.subject.keywordAuthorBiogenic amines-
dc.subject.keywordAuthorAcidic metabolites-
dc.subject.keywordAuthorMouse brain tissues-
dc.subject.keywordAuthorSelective derivatization-
dc.subject.keywordAuthorGC-MS/MS-
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