Author Identifier

Armaghan Shafaei

ORCID : 0000-0002-5763-531X

David Broadhurst

ORCID : 0000-0003-0775-9581

Mary Boyce

ORCID : 0000-0002-4908-8061

Document Type

Journal Article

Publication Title

Analytical and Bioanalytical Chemistry

Publisher

Springer

School

School of Science / Centre for Integrative Metabolomics and Computational Biology

RAS ID

39645

Funders

Edith Cowan University - Open Access Support Scheme 2021

Comments

Shafaei, A., Vamathevan, V., Pandohee, J., Lawler, N. G., Broadhurst, D., & Boyce, M. C. (2021). Sensitive and quantitative determination of short-chain fatty acids in human serum using liquid chromatography mass spectrometry. Analytical and Bioanalytical Chemistry, 413(25), 6333-6342. https://link.springer.com/article/10.1007/s00216-021-03589-w

Abstract

Short-chain fatty acids (SCFAs) are increasingly being monitored to elucidate the link between gut health and disease. These metabolites are routinely measured in faeces, but their determination in serum is more challenging due to their low concentrations. A method for the determination of eight SCFAs in serum is described here. High-resolution mass spectrometry and gas chromatography were used to identify the presence of isomeric interferences, which were then overcome through a combination of chromatographic separation and judicious choice of MS fragment ion. The SCFAs were derivatised to form 3-nitrophenylhydrazones before being separated on a reversed-phase column and then detected using liquid chromatography tandem mass spectrometry (LC-QQQ-MS). The LODs and LOQs of SCFAs using this method were in the range 1 to 7 ng mL−1 and 3 to 19 ng mL−1, respectively. The recovery of the SCFAs in serum ranged from 94 to 114% over the three concentration ranges tested.

DOI

10.1007/s00216-021-03589-w

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Research Themes

Health

Priority Areas

Multidisciplinary biological approaches to personalised disease diagnosis, prognosis and management

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