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Article: GC-MS with ethyl chloroformate derivatization for comprehensive analysis of metabolites in serum and its application to human uremia

TitleGC-MS with ethyl chloroformate derivatization for comprehensive analysis of metabolites in serum and its application to human uremia
Authors
KeywordsBioanalytical methods
Clinical/biomedical analysis
Ethyl chloroformate
GC
GC-MS
Metabolic profiling
Metabonomics
Multivariate statistical analysis
Serum
Issue Date2008
Citation
Analytical and Bioanalytical Chemistry, 2008, v. 391, n. 8, p. 2881-2889 How to Cite?
AbstractAn optimized method based on GC-MS with ethyl chloroformate derivatization has been developed for the comprehensive analysis of endogenous metabolites in serum. Twenty-two reference standards and serum samples were used to validate the proposed method. The correlation coefficient was higher than 0.9900 for each of the standards, and the LOD varied from 125 to 300 pg on-column. The analytical equipment exhibited good repeatability (RSD<10%) for all of the standards. Both the repeatability and the within-48-h stability of the analytical method were satisfactory (RSD<10%) for the 18 metabolites identified in the serum samples. Mean recovery was acceptable for the 18 metabolites, ranging from 70% to 120% with RSDs of less than 10%. Using the optimized protocol and a subsequent multivariate statistical technique, complete differentiation was achieved between the metabolic profile of uremic patients and that of age- and sex-matched normal subjects. Significantly decreased levels of valine, leucine, and isoleucine and increased levels of myristic acid and linoleic acid were observed in the patient group. This work demonstrated that this method is suitable for serum-based metabolic profiling studies. © 2008 Springer-Verlag.
Persistent Identifierhttp://hdl.handle.net/10722/342331
ISSN
2023 Impact Factor: 3.8
2023 SCImago Journal Rankings: 0.686
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorTao, Xiumei-
dc.contributor.authorLiu, Yumin-
dc.contributor.authorWang, Yihuang-
dc.contributor.authorQiu, Yunping-
dc.contributor.authorLin, Jingchao-
dc.contributor.authorZhao, Aihua-
dc.contributor.authorSu, Mingming-
dc.contributor.authorJia, Wei-
dc.date.accessioned2024-04-17T07:03:02Z-
dc.date.available2024-04-17T07:03:02Z-
dc.date.issued2008-
dc.identifier.citationAnalytical and Bioanalytical Chemistry, 2008, v. 391, n. 8, p. 2881-2889-
dc.identifier.issn1618-2642-
dc.identifier.urihttp://hdl.handle.net/10722/342331-
dc.description.abstractAn optimized method based on GC-MS with ethyl chloroformate derivatization has been developed for the comprehensive analysis of endogenous metabolites in serum. Twenty-two reference standards and serum samples were used to validate the proposed method. The correlation coefficient was higher than 0.9900 for each of the standards, and the LOD varied from 125 to 300 pg on-column. The analytical equipment exhibited good repeatability (RSD<10%) for all of the standards. Both the repeatability and the within-48-h stability of the analytical method were satisfactory (RSD<10%) for the 18 metabolites identified in the serum samples. Mean recovery was acceptable for the 18 metabolites, ranging from 70% to 120% with RSDs of less than 10%. Using the optimized protocol and a subsequent multivariate statistical technique, complete differentiation was achieved between the metabolic profile of uremic patients and that of age- and sex-matched normal subjects. Significantly decreased levels of valine, leucine, and isoleucine and increased levels of myristic acid and linoleic acid were observed in the patient group. This work demonstrated that this method is suitable for serum-based metabolic profiling studies. © 2008 Springer-Verlag.-
dc.languageeng-
dc.relation.ispartofAnalytical and Bioanalytical Chemistry-
dc.subjectBioanalytical methods-
dc.subjectClinical/biomedical analysis-
dc.subjectEthyl chloroformate-
dc.subjectGC-
dc.subjectGC-MS-
dc.subjectMetabolic profiling-
dc.subjectMetabonomics-
dc.subjectMultivariate statistical analysis-
dc.subjectSerum-
dc.titleGC-MS with ethyl chloroformate derivatization for comprehensive analysis of metabolites in serum and its application to human uremia-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s00216-008-2220-8-
dc.identifier.pmid18622754-
dc.identifier.scopuseid_2-s2.0-49049118828-
dc.identifier.volume391-
dc.identifier.issue8-
dc.identifier.spage2881-
dc.identifier.epage2889-
dc.identifier.eissn1618-2650-
dc.identifier.isiWOS:000258061500024-

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