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Metabolic profiling of yeast culture using gas chromatography coupled with orthogonal acceleration accurate mass time-of-flight mass spectrometry: Application to biomarker discovery

journal contribution
posted on 2024-11-02, 05:52 authored by Elsuida Kondo, Philip Marriott, Rhiannon Parker, Konstantinos Kouremenos, Paul Morrison, Michael Adams
Yeast and yeast cultures are frequently used as additives in diets of dairy cows. Beneficial effects from the inclusion of yeast culture in diets for dairy mammals have been reported, and the aim of this study was to develop a comprehensive analytical method for the accurate mass identification of the 'global' metabolites in order to differentiate a variety of yeasts at varying growth stages (Diamond V XP, Yea-Sacc and Levucell). Microwave-assisted derivatization for metabolic profiling is demonstrated through the analysis of differing yeast samples developed for cattle feed, which include a wide range of metabolites of interest covering a large range of compound classes. Accurate identification of the components was undertaken using GC-oa-ToFMS (gas chromatography-orthogonal acceleration-time-of-flight mass spectrometry), followed by principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) for data reduction and biomarker discovery. Semi-quantification (fold changes in relative peak areas) was reported for metabolites identified as possible discriminative biomarkers (p-value < 0.05, fold change > 2), including d-ribose (four fold decrease), myo-inositol (five fold increase), l-phenylalanine (three fold increase), glucopyranoside (two fold increase), fructose (three fold increase) and threitol (three fold increase) respectively.

History

Journal

Analytica Chimica Acta

Volume

807

Start page

135

End page

142

Total pages

8

Publisher

Elsevier BV

Place published

Netherlands

Language

English

Copyright

© 2013 Elsevier B.V. All rights reserved.

Former Identifier

2006078969

Esploro creation date

2020-06-22

Fedora creation date

2017-10-20

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