Please use this identifier to cite or link to this item: https://doi.org/10.1002/rcm.3699
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dc.titleDevelopment and validation of a gas chromatography/mass spectrometry metabonomic platform for the global profiling of urinary metabolites
dc.contributor.authorPasikanti, K.K.
dc.contributor.authorHo, P.C.
dc.contributor.authorChan, E.C.Y.
dc.date.accessioned2014-10-29T01:51:10Z
dc.date.available2014-10-29T01:51:10Z
dc.date.issued2008-10-15
dc.identifier.citationPasikanti, K.K., Ho, P.C., Chan, E.C.Y. (2008-10-15). Development and validation of a gas chromatography/mass spectrometry metabonomic platform for the global profiling of urinary metabolites. Rapid Communications in Mass Spectrometry 22 (19) : 2984-2992. ScholarBank@NUS Repository. https://doi.org/10.1002/rcm.3699
dc.identifier.issn09514198
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105820
dc.description.abstractThis paper presents a simple and reliable gas chromatography/mass spectrometry (GC/MS) method for the metabonomic analysis of human urine samples. The sample preparation involved the depletion of excess urea via treatment with urease and subsequent protein precipitation using ice-cold ethanol. An aliquot of the mixture was separated, dried, trimethylsilyl (TMS)-derivatized and 1.0 μL of the derivatized extract was injected into the GC/MS system via split injection (1:10). Approximately 150 putative metabolites belonging to different chemical classes were identified from the pooled human urine samples. All the identified metabolites were selected to evaluate precision and stability of the GC/MS assay. More than 95% of the metabolites demonstrated good reproducibility, with intra-day and inter-day precision values below 15%. Metabolic profiling of 53 healthy male and female urine samples in combination with pattern recognition techniques was performed to further validate the GC/MS metabolite profiling assay. Principal component analysis (PCA) followed by orthogonal partial least squares analysis (OPLS) revealed differences between urinary metabolite profiles of healthy male and female subjects. This validated GC/MS metabolic profiling method may be further applied to the metabonomic screening of urinary biomarkers in clinical studies. Copyright © 2008 John Wiley & Sons, Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/rcm.3699
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentPHARMACY
dc.description.doi10.1002/rcm.3699
dc.description.sourcetitleRapid Communications in Mass Spectrometry
dc.description.volume22
dc.description.issue19
dc.description.page2984-2992
dc.description.codenRCMSE
dc.identifier.isiut000259857300004
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