Literature DB >> 30993998

A rapid derivatization based LC-MS/MS method for quantitation of short chain fatty acids in human plasma and urine.

Allan Jaochico1, Dewakar Sangaraju1, Sheerin K Shahidi-Latham1.   

Abstract

Aim: Objective of this study is to develop a robust multi-matrix LC-MS/MS for the quantitation of endogenous short-chain fatty acids (SCFA) biomarkers in human plasma and urine.
Methods: Developed method utilizes stable isotope-labeled internal standards, high-throughput derivatization procedure for sample preparation and LC-MS/MS analysis using multiple reaction monitoring transitions in positive electrospray ionization mode.
Results: Surrogate matrix method was used for quantitation. Accuracy, precision, parallelism, curve linearity, derivatization efficiency, stability and recovery were all evaluated, and the results were well within the acceptable criteria.
Conclusion: SCFA levels in human plasma and urine of inflammatory bowel disease patients versus non-disease subjects were quantified and compared by LC-MS/MS.

Entities:  

Keywords:  2-methylbutyric acid; 3-methylvaleric acid; biomarker; butyric acid; caproic acid; derivatization; human plasma and urine; isobutyric acid; isocaproic acid; isovaleric acid; liquid–liquid extraction; propionic acid; reversed-phase LC–MS/MS; short-chain fatty acid; valeric acid

Mesh:

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Year:  2019        PMID: 30993998     DOI: 10.4155/bio-2018-0241

Source DB:  PubMed          Journal:  Bioanalysis        ISSN: 1757-6180            Impact factor:   2.681


  3 in total

1.  Development and validation of a LC-MS/MS method for quantitation of 3-hydroxypentanoic acid and 3-oxopentanoic acid in human plasma and its application to a clinical study of glucose transporter type I deficiency (G1D) syndrome.

Authors:  Raja Reddy Kallem; Sharon Primeaux; Adrian Avila; Juan M Pascual; William C Putnam
Journal:  J Pharm Biomed Anal       Date:  2021-08-27       Impact factor: 3.935

Review 2.  Liquid Chromatography-Mass Spectrometry (LC-MS) Derivatization-Based Methods for the Determination of Fatty Acids in Biological Samples.

Authors:  Christiana Mantzourani; Maroula G Kokotou
Journal:  Molecules       Date:  2022-09-05       Impact factor: 4.927

3.  An Improved Method to Quantify Short-Chain Fatty Acids in Biological Samples Using Gas Chromatography-Mass Spectrometry.

Authors:  Kyeong-Seog Kim; Yujin Lee; Woori Chae; Joo-Youn Cho
Journal:  Metabolites       Date:  2022-06-07
  3 in total

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