WEI Min, GAO Yunyi, DONG Ping, XIANG Chenqiong, LI Ran, YANG Yuejiao, HUANG Xuhui, ZHANG Shenghua, YU Qiongwei. Chemometric analysis on volatile components and their differences between moldy and non-moldy cigar tobacco leaves using HS-SPME-GC-MSJ. Tobacco Science & Technology, 2024, 57(12): 1-14. DOI: 10.16135/j.issn1002-0861.2024.0421
Citation: WEI Min, GAO Yunyi, DONG Ping, XIANG Chenqiong, LI Ran, YANG Yuejiao, HUANG Xuhui, ZHANG Shenghua, YU Qiongwei. Chemometric analysis on volatile components and their differences between moldy and non-moldy cigar tobacco leaves using HS-SPME-GC-MSJ. Tobacco Science & Technology, 2024, 57(12): 1-14. DOI: 10.16135/j.issn1002-0861.2024.0421

Chemometric analysis on volatile components and their differences between moldy and non-moldy cigar tobacco leaves using HS-SPME-GC-MS

  • To investigate the composition, relative contents, and their differences on volatile chemical components between moldy and non-moldy cigar tobacco leaves, a headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) method was established to analyze the volatile components in 18 samples of moldy and non-moldy cigar tobacco leaves. Chemometric methods including principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and variable importance in projection were used to identify the main differences in the volatile components in these samples. The results showed that: 1) Ninety-five volatile components in the moldy and non-moldy samples were identified and semi-quantified by the established method. 2) The volatile components in the moldy and non-moldy samples showed a certain degree of discrimination by PCA. 3) The results of identification and analysis using an OPLS-DA model (R2X=0.74, R2Y=0.90, Q2=0.60) showed that the moldy and non-moldy cigar leaves were more clustered in their categories, and there was a good degree of separation between the categories, which effectively distinguished the two types of samples. 4) There were 22 differential volatile components, such as nicotyrine and β-damascone, with larger contributions (VIP > 1)to the model classification in the moldy and non-moldy samples.
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