Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/109458
Title: Metabonomics investigation of human urine after ingestion of green tea with gas chromatography/mass spectrometry, liquid chromatography/mass spectrometry and 1H NMR spectroscopy
Authors: Law, W.S. 
Huang, P.Y.
Ong, E.S.
Ong, C.N. 
Li, S.F.Y. 
Pasikanti, K.K.
Chan, E.C.Y. 
Issue Date: Aug-2008
Citation: Law, W.S., Huang, P.Y., Ong, E.S., Ong, C.N., Li, S.F.Y., Pasikanti, K.K., Chan, E.C.Y. (2008-08). Metabonomics investigation of human urine after ingestion of green tea with gas chromatography/mass spectrometry, liquid chromatography/mass spectrometry and 1H NMR spectroscopy. Rapid Communications in Mass Spectrometry 22 (16) : 2436-2446. ScholarBank@NUS Repository.
Abstract: A method using gas chromatography/mass spectrometry (GC/MS), liquid chromatography/mass spectrometry (LC/MS) and 1H NMR with pattern recognition tools such as principle components analysis (PCA) was used to study the human urinary metabolic profiles after the intake of green tea. From the normalized peak areas obtained from GC/MS and LC/MS and peak heights from 1H NMR, statistical analyses were used in the identification of potential biomarkers. Metabolic profiling by GC/MS provided a different set of quantitative signatures of metabolites that can be used to characterize the molecular changes in human urine samples. A comparison of normalized metabonomics data for selected metabolites in human urine samples in the presence of potential overlapping peaks after tea ingestion from LC/MS and 1H NMR showed the reliability of the current approach and method of normalization. The close agreements of LC/MS with 1H NMR data showed that the effects of ion suppression in LC/MS for early eluting metabolites were not significant. Concurrently, the specificity of detecting the stated metabolites by 1H NMR and LC/MS was demonstrated. Our data showed that a number of metabolites involved in glucose metabolism, citric acid cycle and amino acid metabolism were affected immediately after the intake of green tea. The proposed approach provided a more comprehensive picture of the metabolic changes after intake of green tea in human urine. The multiple analytical approach together with pattern recognition tools is a useful platform to study metabolic profiles after ingestion of botanicals and medicinal plants. Copyright © 2008 John Wiley & Sons, Ltd.
Source Title: Rapid Communications in Mass Spectrometry
URI: http://scholarbank.nus.edu.sg/handle/10635/109458
ISSN: 09514198
Appears in Collections:Staff Publications

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