Literature DB >> 24815366

Ultra high resolution SFC-MS as a high throughput platform for metabolic phenotyping: application to metabolic profiling of rat and dog bile.

Michael D Jones1, Paul D Rainville2, Giorgis Isaac2, Ian D Wilson3, Norman W Smith4, Robert S Plumb5.   

Abstract

Ultra high resolution SFC-MS (on sub-2μm particles) coupled to mass spectrometry has been evaluated for the metabolic profiling of rat and dog bile. The selectivity of the SFC separation differed from that seen in previous reversed-phase UPLC-MS studies on bile, with the order of elution for analytes such as e.g., the bile acids showing many differences. The chromatography system showed excellent stability, reproducibility and robustness with relative standard deviation of less than 1% for retention time obtained over the course of the analysis. SFC showed excellent chromatographic performance with chromatographic peak widths in the order of 3s at the base of the peak. The use of supercritical fluid carbon dioxide as a mobile phase solvent also reduced the overall consumption of organic solvent by a factor of 3 and also reduced the overall analysis time by a factor of 30% compared to reversed-phase gradient LC. SFC-MS appear complementary to RPLC for the metabolic profiling of complex samples such as bile.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bile acids; Bile metabolites; Metabolic profiling; Metabolomics; Metabonomics; SFC

Mesh:

Substances:

Year:  2014        PMID: 24815366     DOI: 10.1016/j.jchromb.2014.04.017

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  2 in total

Review 1.  Canine metabolomics advances.

Authors:  Graciela Carlos; Francisco Paulo Dos Santos; Pedro Eduardo Fröehlich
Journal:  Metabolomics       Date:  2020-01-18       Impact factor: 4.290

Review 2.  The Role of Dafachronic Acid Signaling in Development and Longevity in Caenorhabditis elegans: Digging Deeper Using Cutting-Edge Analytical Chemistry.

Authors:  Hugo Aguilaniu; Paola Fabrizio; Michael Witting
Journal:  Front Endocrinol (Lausanne)       Date:  2016-02-11       Impact factor: 5.555

  2 in total

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