Characterization of volatile organic compounds in wild thyme (

Shasha Qi, Chengjie Hou, Honglei Tian, Ping Zhan, Bin Qiu

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Article in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Shasha QiInstitute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Jinan 250100, China.

Chengjie HouSchool of Food Science and Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China.

Honglei TianCollege of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an, Shaanxi 710119, China.

Ping ZhanCollege of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an, Shaanxi 710119, China.

Bin QiuInstitute of Food & Nutrition Science and Technology, Shandong Academy of Agricultural Sciences, Jinan 250100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To optimize the compatibility with target ingredients in food processing and ensure standardized application, it is essential to characterize thyme's volatile organic compounds (VOCs) from specific species and origins. In this study, 116 VOCs were identified in thyme samples from four main Chinese production regions by two-dimensional gas chromatography/time-of-flight mass spectrometry (GC × GC-TOFMS). Among them, eight compounds- thymol (5.27 %-13.28 %), eucalyptol (9.25-12.23 %), thymoquinone (11.16-15.98 %), etc.- were identified as the most abundant constituents. Samples NX, WQ, JB, and NM were classified into different chemotypes: thymol/eucalyptol/thymoquinone/

Indexed as

GC × GC-TOFMSMultivariate statistical analysisThyme (Thymus serpyllum L.)Volatility spectrum

Identifiers

PMID40520703

DOI10.1016/j.fochx.2025.102590

PMCPMC12167021

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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.