基于热裂解—气质联用判别分析烟叶烘烤阶段的挥发性成分特征

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中图分类号：S572.09 文献标志码：A 文章编号：1004-390X（2025）06-0106-09

Abstract： [Purpose] To accurately screen and identify key volatile components in cured tobacco leaves，and to provide a scientific basis for precise control of process parameters during tobacco leaf curing stages. [Methods] During the three main curing stages （yellowing， color-fixing， and stemdrying）of K326 mature middle leaves，72 tobacco leaf samples were colected from eight different temperature points， and they were detected by pyrolysis-gas chromatography-mass spectrometry （Py

GC-MS） with a pyrolysis temperature of 600‰ . The Py-GC-MS data were processed using MZmine software，obtaining characteristic peak tablescontained peak intensity information，and partial least squares discriminant analysis （PLS-DA） was applied to establish discriminant models for volatile components in tobacco leaves at different curing stages. [Results] The PLS-DA visualization results effectively distinguished samples from the three curing stages. Through ten-fold cross-validation， the optimal number of principal components was determined to be five.The training set determination coefficient （R2） was O.883 with a predictive capability parameter （Q2） of 0.877， and the test set accuracy was O.80o. [Conclusion] Based on variable importance in projection （VIP） greater than one， 10 characteristic components were screened，includingundec-10-ynoicacid，tridec-2-yn-1-ylester（ VIP= 1.588 9）， N. -vinylpyridinium bromide （ VIP=1.5497 ）， and oleic acid （ VIP=1.5022 ）. These components can serve as key volatile markers for discriminating tobacco leaves at different curing stages. This study provides a data foundation for the development of quality evaluation methods for tobacco leaf curing processes.

Keywords： tobacco leaves; pyrolysis-gas chromatography-mass spectrometry; partial least squares discriminant analysis; curing; volatile components

烟叶烘烤加工工艺的优化与精准调控，已成为提升中国烤烟质量、解决其复杂性挑战的核心环节[1-2]。（剩余10887字）