ORIGINAL RESEARCH article
Front. Plant Sci.
Sec. Plant Metabolism and Chemodiversity
Volume 16 - 2025 | doi: 10.3389/fpls.2025.1657415
Untargeted metabolomics based on HS-SPME-GC-MS revealing the dynamic evolution of aroma components during cigar aging
Provisionally accepted- 1Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China
- 2China Tobacco Sichuan Industrial Co Ltd, Chengdu, China
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Cigar aging plays a critical role in enhancing flavor complexity and overall quality of cigar. In this study, an untargeted metabolomics method based on headspace solid-phase microextraction coupled with gas chromatography–mass spectrometry (HS-SPME-GC-MS) was used to comprehensively profile volatile compounds and track their dynamic changes during aging. A total of 1,836 volatile compounds were identified, primarily comprising heterocyclics, terpenoids, ketones, and esters. Multivariate analyses, including principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA), segmented the aging process into four distinct stages, with most differential metabolites showing upregulated trends. Notably, terpenoids exhibited substantial increases in both diversity and abundance. KEGG pathway enrichment analysis highlighted significant involvement of sesquiterpenoid and triterpenoid biosynthesis pathways in cigar aging process. Analysis based on relative odor activity values (rOAV) indicated a progressive enhancement of fruity, floral, honey, woody, and sweet notes, while coffee, roasted, hay, burnt, and spicy aromas declined over time. By integrating rOAV data with K-means clustering analysis, 21 key aroma-active compounds were identified to be closely associated with the aroma changes during aging, including 14 consistently upregulated compounds (e.g., (E)-β-damascone, δ-cadinene) and 7 downregulated ones (e.g., 2-ethyl-3,5-dimethylpyrazine, 3-octen-2-one). These findings provide new insights into the metabolic basis of cigar aging and offer a scientific foundation for optimizing industrial aging processes.
Keywords: cigar volatilomics1, rOAV2, K-means clustering3, KEGG pathway4, aroma dynamic changes5
Received: 01 Jul 2025; Accepted: 27 Aug 2025.
Copyright: © 2025 Yang, Zhou, Hu, Liu, Lei, Ye, Zhou, Hu and He. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Jun Hu, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China
Baojiang He, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China
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