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Journal of Pharmaceutical and Biomedical Analysis
Article . 2026 . Peer-reviewed
License: CC BY
Data sources: Crossref
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ZENODO
Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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GC-MS method development and validation for the determination of Short Chain Fatty Acids in human feces

Authors: Gkanali, Vasiliki; Farantatou, Konstantina; Begou, Olga-Angeliki; Theodoridis, Georgios; Gika, Helen; Virgiliou, Christina;

GC-MS method development and validation for the determination of Short Chain Fatty Acids in human feces

Abstract

Short Chain Fatty Acids (SCFAs), the end products of microbial fermentation of dietary fibers, appear to be key mediators of the beneficial effects elicited by the gut microbiome and have been shown to exert multiple effects on metabolism. In this study, we developed and validated a sensitive, accurate, and reproducible GC–MS method for the simultaneous quantification of SCFAs (Acetic acid (C2), propionic acid (C3), butyric acid (C4), isobutyric acid and isovaleric acid) in human feces. Sample preparation was simplified while maintaining robustness, following systematic evaluation of homogenization, extraction solvents, and acidification conditions. The optimized method demonstrated high analytical performance, with limits of detection ranging from 0.01 to 0.52 μmol/g and good precision and accuracy in accordance with FDA and EMA bioanalytical guidelines Stability studies revealed that SCFAs remain stable in acidified fecal samples for up to 10 days without cold-chain requirements, while −80 °C storage was optimal for long-term preservation and 4 °C suitable for short-term handling. The applicability of the method was confirmed through analysis of samples collected from healthy volunteers. Overall, the developed approach provides a practical, high-throughput, and scalable tool for SCFA analysis, supporting applications in clinical research, metabolomics, and large-scale microbiome studies.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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