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Conference Paper: An ultrasonication-assisted extraction and derivatization protocol for GC/TOFMS-based metabolite profiling

TitleAn ultrasonication-assisted extraction and derivatization protocol for GC/TOFMS-based metabolite profiling
Authors
KeywordsDerivatization
Hypertension
Metabolites
Metabolomics
Ultrasonication
Issue Date2011
Citation
Analytical and Bioanalytical Chemistry, 2011, v. 400, n. 5, p. 1405-1417 How to Cite?
AbstractConventional chemical derivatization of metabolites in biological specimens is time-consuming, which limits the throughput and efficiency of metabolite profiling using a gas chromatography/time-of-flight mass spectrometry (GC/TOFMS) platform. We report an ultrasonication-assisted protocol which reduces the derivatization time from hours to about 30 min and significantly enhances the derivatization efficiency prior to a GC/TOFMS analysis. The protocol was evaluated using 40 compounds representing different classes of human metabolites, and demonstrated good analytical precision and accuracy. In comparison with the conventional method, the new protocol was able to increase the intensity of most of the identified peaks (71.0%) in the GC/TOFMS chromatograms of human serum samples. The detected compounds with increased intensity include most amino acids, keto-containing organic acids, carbonyl-containing carbohydrates, and unsaturated fatty acids. We applied this protocol in a metabolomic study of human serum samples obtained from 34 patients diagnosed with hypertension and 29 age- and gender-matched healthy subjects. Metabolite markers associated with hypertension, including glucosamine, d-sorbitol, 1-stearoylglycerol, and homocysteine, were identified and validated by statistical methods and use of reference standards. Our work highlights the potential of this novel approach for the large-scale metabolite profiling of samples generated from plant, animal, and clinical and epidemiological studies. © 2011 Springer-Verlag.
Persistent Identifierhttp://hdl.handle.net/10722/342388
ISSN
2021 Impact Factor: 4.478
2020 SCImago Journal Rankings: 0.860

 

DC FieldValueLanguage
dc.contributor.authorLiu, Yumin-
dc.contributor.authorChen, Tianlu-
dc.contributor.authorQiu, Yunpin-
dc.contributor.authorCheng, Yu-
dc.contributor.authorCao, Yu-
dc.contributor.authorZhao, Aihua-
dc.contributor.authorJia, Wei-
dc.date.accessioned2024-04-17T07:03:28Z-
dc.date.available2024-04-17T07:03:28Z-
dc.date.issued2011-
dc.identifier.citationAnalytical and Bioanalytical Chemistry, 2011, v. 400, n. 5, p. 1405-1417-
dc.identifier.issn1618-2642-
dc.identifier.urihttp://hdl.handle.net/10722/342388-
dc.description.abstractConventional chemical derivatization of metabolites in biological specimens is time-consuming, which limits the throughput and efficiency of metabolite profiling using a gas chromatography/time-of-flight mass spectrometry (GC/TOFMS) platform. We report an ultrasonication-assisted protocol which reduces the derivatization time from hours to about 30 min and significantly enhances the derivatization efficiency prior to a GC/TOFMS analysis. The protocol was evaluated using 40 compounds representing different classes of human metabolites, and demonstrated good analytical precision and accuracy. In comparison with the conventional method, the new protocol was able to increase the intensity of most of the identified peaks (71.0%) in the GC/TOFMS chromatograms of human serum samples. The detected compounds with increased intensity include most amino acids, keto-containing organic acids, carbonyl-containing carbohydrates, and unsaturated fatty acids. We applied this protocol in a metabolomic study of human serum samples obtained from 34 patients diagnosed with hypertension and 29 age- and gender-matched healthy subjects. Metabolite markers associated with hypertension, including glucosamine, d-sorbitol, 1-stearoylglycerol, and homocysteine, were identified and validated by statistical methods and use of reference standards. Our work highlights the potential of this novel approach for the large-scale metabolite profiling of samples generated from plant, animal, and clinical and epidemiological studies. © 2011 Springer-Verlag.-
dc.languageeng-
dc.relation.ispartofAnalytical and Bioanalytical Chemistry-
dc.subjectDerivatization-
dc.subjectHypertension-
dc.subjectMetabolites-
dc.subjectMetabolomics-
dc.subjectUltrasonication-
dc.titleAn ultrasonication-assisted extraction and derivatization protocol for GC/TOFMS-based metabolite profiling-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s00216-011-4880-z-
dc.identifier.pmid21448603-
dc.identifier.scopuseid_2-s2.0-79955564618-
dc.identifier.volume400-
dc.identifier.issue5-
dc.identifier.spage1405-
dc.identifier.epage1417-
dc.identifier.eissn1618-2650-

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