Literature DB >> 25160959

Evaluation of mobile phase characteristics on three zwitterionic columns in hydrophilic interaction liquid chromatography mode for liquid chromatography-high resolution mass spectrometry based untargeted metabolite profiling of Leishmania parasites.

Rong Zhang1, David G Watson2, Lijie Wang3, Gareth D Westrop4, Graham H Coombs5, Tong Zhang6.   

Abstract

It has been reported that HILIC column chemistry has a great effect on the number of detected metabolites in LC-HRMS-based untargeted metabolite profiling studies. However, no systematic investigation has been carried out with regard to the optimisation of mobile phase characteristics. In this study using 223 metabolite standards, we explored the retention mechanisms on three zwitterionic columns with varied mobile phase composition, demonstrated the interference from poor chromatographic peak shapes on the output of data extraction, and assessed the quality of chromatographic signals and the separation of isomers under each LC condition. As expected, on the ZIC-cHILIC column the acidic metabolites showed improved chromatographic performance at low pH which can be attributed to the opposite arrangement of the permanently charged groups on this column in comparison with the ZIC-HILIC column. Using extracts from the protozoan parasite Leishmania, we compared the numbers of repeatedly detected LC-HRMS features under different LC conditions with putative identification of metabolites not amongst the standards being based on accurate mass (±3ppm). Besides column chemistry, the pH of the mobile phase plays a key role in not only determining the retention mechanisms of solutes but also the output of the LC-HRMS data processing. Fast evaporation of ammonium carbonate produced less ion suppression in ESI source and consequently improved the detectability of the metabolites in low abundance in comparison with other ammonium salts. Our results show that the combination of a ZIC-pHILIC column with an ammonium carbonate mobile phase, pH 9.2, at 20mM in the aqueous phase or 10mM in both aqueous and organic mobile phase components, provided the most suitable LC conditions for LC-HRMS-based untargeted metabolite profiling of Leishmania parasite extracts. The signal reliability of the mass spectrometer used in this study (Exactive Orbitrap) was also investigated.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  HILIC-HRMS (Hydrophilic Interaction Liquid Chromatography–High Resolution Mass Spectrometry); Leishmania; Metebolomics; Untargeted metabolite profiling; Zwitterionic stationary phase

Mesh:

Substances:

Year:  2014        PMID: 25160959     DOI: 10.1016/j.chroma.2014.08.039

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  24 in total

1.  Evaluation of coverage, retention patterns, and selectivity of seven liquid chromatographic methods for metabolomics.

Authors:  Stefanie Wernisch; Subramaniam Pennathur
Journal:  Anal Bioanal Chem       Date:  2016-07-01       Impact factor: 4.142

2.  Two complementary reversed-phase separations for comprehensive coverage of the semipolar and nonpolar metabolome.

Authors:  Fuad J Naser; Nathaniel G Mahieu; Lingjue Wang; Jonathan L Spalding; Stephen L Johnson; Gary J Patti
Journal:  Anal Bioanal Chem       Date:  2017-12-18       Impact factor: 4.142

3.  Avoiding misannotation of in-source fragmentation products as cellular metabolites in liquid chromatography-mass spectrometry-based metabolomics.

Authors:  Yi-Fan Xu; Wenyun Lu; Joshua D Rabinowitz
Journal:  Anal Chem       Date:  2015-01-27       Impact factor: 6.986

Review 4.  Metabolomics: Going Deeper, Going Broader, Going Further.

Authors:  Sofia Moco; Joerg M Buescher
Journal:  Methods Mol Biol       Date:  2023

5.  Trace Phosphate Improves ZIC-pHILIC Peak Shape, Sensitivity, and Coverage for Untargeted Metabolomics.

Authors:  Jonathan L Spalding; Fuad J Naser; Nathaniel G Mahieu; Stephen L Johnson; Gary J Patti
Journal:  J Proteome Res       Date:  2018-09-25       Impact factor: 4.466

6.  A study of the effects of exercise on the urinary metabolome using normalisation to individual metabolic output.

Authors:  Evangelia Daskalaki; Gavin Blackburn; Gabriela Kalna; Tong Zhang; Nahoum Anthony; David G Watson
Journal:  Metabolites       Date:  2015-02-27

7.  Metabolomic Profiling of Submaximal Exercise at a Standardised Relative Intensity in Healthy Adults.

Authors:  Ali Muhsen Ali; Mia Burleigh; Evangelia Daskalaki; Tong Zhang; Chris Easton; David G Watson
Journal:  Metabolites       Date:  2016-02-26

Review 8.  Applications of Fourier Transform Ion Cyclotron Resonance (FT-ICR) and Orbitrap Based High Resolution Mass Spectrometry in Metabolomics and Lipidomics.

Authors:  Manoj Ghaste; Robert Mistrik; Vladimir Shulaev
Journal:  Int J Mol Sci       Date:  2016-05-25       Impact factor: 5.923

9.  Metabolomic Analyses of Leishmania Reveal Multiple Species Differences and Large Differences in Amino Acid Metabolism.

Authors:  Gareth D Westrop; Roderick A M Williams; Lijie Wang; Tong Zhang; David G Watson; Ana Marta Silva; Graham H Coombs
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

10.  Metabolomic Profiling of Post-Mortem Brain Reveals Changes in Amino Acid and Glucose Metabolism in Mental Illness Compared with Controls.

Authors:  Rong Zhang; Tong Zhang; Ali Muhsen Ali; Mohammed Al Washih; Benjamin Pickard; David G Watson
Journal:  Comput Struct Biotechnol J       Date:  2016-02-26       Impact factor: 7.271

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