Literature DB >> 21388201

Highly sensitive GC/MS/MS method for quantitation of amino and nonamino organic acids.

Hans F N Kvitvang1, Trygve Andreassen, Tomas Adam, Silas G Villas-Bôas, Per Bruheim.   

Abstract

Metabolite profiling methods are important tools for measurement of metabolite pools in biological systems. While most metabolite profiling methods report relative intensities or depend on a few internal standards representing all metabolites, the ultimate requirement for a quantitative description of the metabolite pool in biological cells and fluids is absolute concentration determination. We report here a high-throughput and sensitive gas chromatography/tandem mass spectrometry (GC/MS/MS) targeted metabolite profiling method enabling absolute quantification of all detected metabolites. The method is based on methyl chloroformate derivatization and quantification by spiking samples with metabolite standards separately derivatized with deuterated derivatization reagents. The traditional electron impact ionization is replaced with positive chemical ionization since the latter to a much larger extent preserve the molecular ion and other high molecular weight fragments. This made it easier to select unique MS/MS transitions among the many coeluting metabolites. Currently, the novel GC/MS/MS method comprises 67 common primary metabolites of which most belong to the groups of amino and nonamino organic acids. We show the applicability of the method on urine and serum samples. The method is a significant improvement of present methodology for quantitative GC/MS metabolite profiling of amino acids and nonamino organic acids.

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Year:  2011        PMID: 21388201     DOI: 10.1021/ac103245b

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  21 in total

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2.  Direct Derivatization vs Aqueous Extraction Methods of Fecal Free Fatty Acids for GC-MS Analysis.

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Journal:  Lipids       Date:  2015-05-26       Impact factor: 1.880

Review 3.  Mass Spectrometry-based Metabolomics in Translational Research.

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Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 4.  Towards quantitative mass spectrometry-based metabolomics in microbial and mammalian systems.

Authors:  Rahul Vijay Kapoore; Seetharaman Vaidyanathan
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-10-28       Impact factor: 4.226

Review 5.  Review of recent developments in GC-MS approaches to metabolomics-based research.

Authors:  David J Beale; Farhana R Pinu; Konstantinos A Kouremenos; Mahesha M Poojary; Vinod K Narayana; Berin A Boughton; Komal Kanojia; Saravanan Dayalan; Oliver A H Jones; Daniel A Dias
Journal:  Metabolomics       Date:  2018-11-17       Impact factor: 4.290

6.  Itaconic acid is a mammalian metabolite induced during macrophage activation.

Authors:  Cheryl L Strelko; Wenyun Lu; Fay J Dufort; Thomas N Seyfried; Thomas C Chiles; Joshua D Rabinowitz; Mary F Roberts
Journal:  J Am Chem Soc       Date:  2011-09-27       Impact factor: 15.419

7.  High Throughput and Quantitative Measurement of Microbial Metabolome by Gas Chromatography/Mass Spectrometry Using Automated Alkyl Chloroformate Derivatization.

Authors:  Linjing Zhao; Yan Ni; Mingming Su; Hongsen Li; Fangcong Dong; Wenlian Chen; Runmin Wei; Lulu Zhang; Seu Ping Guiraud; Francois-Pierre Martin; Cynthia Rajani; Guoxiang Xie; Wei Jia
Journal:  Anal Chem       Date:  2017-05-02       Impact factor: 6.986

8.  Electron Ionization-Induced Release of Coded Isotopic Reporter Ions in an m/z Zone of Minimal Interference for Quantifiable, Multiplexed GC-MS Analyses.

Authors:  Sébastien Laulhé; Tyler E Geers; Xue Shi; Xiang Zhang; Michael H Nantz
Journal:  Anal Methods       Date:  2013-09-21       Impact factor: 2.896

9.  Mass spectrometry of analytical derivatives. 1. Cyanide cations in the spectra of N- alkyl-N-perfluoroacyl- α-amino acids and their methyl esters.

Authors:  Nino G Todua; Kirill V Tretyakov; Anzor I Mikaia
Journal:  Eur J Mass Spectrom (Chichester)       Date:  2015       Impact factor: 1.067

Review 10.  Metabolomics in rheumatic diseases: desperately seeking biomarkers.

Authors:  Monica Guma; Stefano Tiziani; Gary S Firestein
Journal:  Nat Rev Rheumatol       Date:  2016-03-03       Impact factor: 20.543

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