Identification of characteristic flavor markers in breakable capsules for flavoring by GC/MS combined with multivariate statistical analysis
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(Technology Center, China Tobacco Jiangsu Industrial Co., Ltd., Nanjing, Jiangsu 210019, China)

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    Abstract:

    Objective: Identify the characteristic markers for the quality control of breakable capsule flavor. Methods: Volatile and semi-volatile compounds were detected by GC/MS, and the fingerprinting of the target samples was established. The obtained data were analyzed by multivariate statistical analysis. Results: 27 kinds of volatile and semi-volatile substances were identified, including 20 dominant aroma compounds and 7 shell materials, which were limonene, eugenol, anethole, menthol and so on, and caprylic/capric triglyceride respectively. Under the optimized conditions, the instrument precision, intra-day precision and inter-day precision were between 0.56%~9.94%, 3.07%~9.81% and 2.81%~11.95% respectively. Combined with the nearest neighbor algorithm of ChemPattern software, GC/MS fingerprinting of the sample was established. PCA showed there were no significant difference between the normal and simulated breakable capsule flavor samples. However, based on the results of OPLS-DA, four compounds were identified as characteristic markers (variable importance projection value>1, P<0.05), which were limonene, methyl octanoate, methyl decanoate and eugenol, respectively. In general, these characteristic substances can reflect the fragrant type of breakable capsule flavor. Conclusion: This study can provide a reference for the quality control of breakable capsule flavor.

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张华,刘琪,叶远青,等.基于GC/MS结合多元统计学筛选爆珠香精中香味标志物[J].食品与机械英文版,2021,(9):37-43.

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History
  • Received:April 19,2021
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  • Online: February 15,2023
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