Evidence map›Paper›PMID 41123668›Full record

ArticleAnalytical and bioanalytical chemistry2025

Optimized method for analyzing volatile compounds in edible yeast using headspace SPME-GC-MS.

Nho-Eul Song, Jeonghyun Yun, Sunhee Kang, Jang-Eun Lee

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nho-Eul SongFermentation Convergence Research Group, Food Convergence Research Division, Korea Food Research Institute, Wanju-gun, Jeonbuk-do, 55365, Republic of Korea.
Jeonghyun YunFermentation Convergence Research Group, Food Convergence Research Division, Korea Food Research Institute, Wanju-gun, Jeonbuk-do, 55365, Republic of Korea.
Sunhee KangFermentation Convergence Research Group, Food Convergence Research Division, Korea Food Research Institute, Wanju-gun, Jeonbuk-do, 55365, Republic of Korea.
Jang-Eun LeeFermentation Convergence Research Group, Food Convergence Research Division, Korea Food Research Institute, Wanju-gun, Jeonbuk-do, 55365, Republic of Korea. jelee@kfri.re.kr.

Funding

Main Research Program of the Korea Food Research Institute E0252802-01
6 · The paper itself

Abstract

Volatile compounds produced by edible yeasts play a critical role in food flavor and consumer perception. This study aimed to evaluate how different yeast preparation methods influence the detection of volatile compounds using gas chromatography-mass spectrometry (GC-MS) coupled with headspace solid-phase microextraction (HS-SPME). Saccharomyces cerevisiae was prepared using four methods-broth culture, agar culture, supernatant, and yeast cell pellet-and volatile profiles were compared with non-polar (DB-5), mid-polar (DB-17), and polar (VF-WAX) GC columns. The supernatant consistently exhibited the greatest diversity and abundant volatile compounds, whereas agar cultures and cell pellets led to fewer volatiles. Principal component analysis (PCA) demonstrated distinct clustering of volatile profiles according to the preparation method, with major compounds such as hexanoic acid ethyl ester and phenylethyl alcohol contributing to group separation. Additionally, the effect of salting-out agents (NaCl and H

Indexed as

Gas Chromatography-Mass SpectrometrySaccharomyces cerevisiaeSolid Phase MicroextractionVolatile Organic CompoundsPrincipal Component AnalysisVolatile Organic CompoundsCultureGC columnGC-MSSaccharomyces cerevisiaeVolatile compounds

Identifiers

PMID41123668
PMCPMC12641049

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.