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中国精品科技期刊2020
郭智鑫,郝丹丹,卞建明,等. GC-MS结合化学计量学方法分析桂花净油分子蒸馏馏分的挥发性成分[J]. 食品工业科技,2024,45(7):276−285. doi: 10.13386/j.issn1002-0306.2023060055.
引用本文: 郭智鑫,郝丹丹,卞建明,等. GC-MS结合化学计量学方法分析桂花净油分子蒸馏馏分的挥发性成分[J]. 食品工业科技,2024,45(7):276−285. doi: 10.13386/j.issn1002-0306.2023060055.
GUO Zhixin, HAO Dandan, BIAN Jianming, et al. Analysis of Volatile Components in the Molecular Distillation Fractions of Osmanthus fragrans Absolute by GC-MS Combined with Chemometrics Methods[J]. Science and Technology of Food Industry, 2024, 45(7): 276−285. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023060055.
Citation: GUO Zhixin, HAO Dandan, BIAN Jianming, et al. Analysis of Volatile Components in the Molecular Distillation Fractions of Osmanthus fragrans Absolute by GC-MS Combined with Chemometrics Methods[J]. Science and Technology of Food Industry, 2024, 45(7): 276−285. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023060055.

GC-MS结合化学计量学方法分析桂花净油分子蒸馏馏分的挥发性成分

Analysis of Volatile Components in the Molecular Distillation Fractions of Osmanthus fragrans Absolute by GC-MS Combined with Chemometrics Methods

  • 摘要: 为了探究分子蒸馏技术纯化桂花净油的不同馏分挥发性成分与香气差异,采用气相色谱-质谱(Gas chromatography-mass spectrometry,GC-MS)结合化学计量学方法中的正交偏最小二乘判别分析法(Orthogonal partial least-squares discrimination analysis,OPLS-DA)、P-value与变量投影重要性(Variable important in the projection,VIP)与相对气味活度值(Relative odor activity value,ROAV)对桂花净油的轻组分、重组分和残留物组分挥发性成分进行分析。结果表明:三种馏分中共检测到8大类挥发性成分共73种,其中醇类22种、醛类5种、酸类10种、酚类3种、酮类5种、酯类17种、烷烃类5种、烯萜类6种。各馏分中醇类物质的种类与相对含量最高,是桂花净油挥发性成分的主要贡献物质,且各馏分的挥发性成分种类与相对含量具有显著性差异(P<0.05);建立的三种馏分挥发性成分判别模型,分类准确率为98.2%;并在分析确定出三种馏分27种差异性挥发物成分(VIP>1)后,对轻组分14种、重组分9种和残留物组分11种的关键香气贡献成分(ROAV>1)进行香气轮廓分析,轻组分与重组分、残留组分相比,表现出的花香味、甜味以及松木香味更为强烈。轻组分的挥发性成分种类与相对含量最多,香气特征中的桂花花香味最为浓郁强烈。本研究采用GC-MS结合化学计量学方法分析桂花净油各馏分挥发性成分差异与香气特征,为桂花净油分子蒸馏各馏分综合利用提供理论依据。

     

    Abstract: This study aimed to investigate the differences in volatile composition and aroma of different fractions of Osmanthus fragrans absolute purified by molecular distillation. Gas chromatography-mass spectrometry (GC-MS) combined with orthogonal partial least-squares discrimination analysis (OPLS-DA), P-value, variable importance in the projection (VIP), and relative odor activity value (ROAV) were used for analysis. The light, heavy, and residue fractions of Osmanthus fragrans absolute were analyzed. A total of 73 volatile components belonging to 8 major categories were detected in the three fractions, including 22 alcohols, 5 aldehydes, 10 acids, 3 phenols, 5 ketones, 17 esters, 5 alkanes, and 6 olefins. Alcohols were the main contributors to the volatile components in each fraction, and the types and relative contents of volatile components significantly differed among the fractions (P<0.05). The discrimination model achieved a classification accuracy of 98.2% for the volatile components of the three fractions. After analyzing and determining the 27 differential volatile components (VIP>1) of the three fractions, the key aroma contributing components (ROAV>1) of the 14 light fractions, 9 recombinant fractions, and 11 residue fractions were analyzed by the aroma profile analysis. Light fractions exhibited more intense floral, sweet, and pine woody aromas compared to recombinant and residue fractions. The light fractions had the highest types and relative contents of volatile components and showcased the most intense Osmanthus fragrans floral flavor. This study provided a theoretical basis for the comprehensive utilization of different fractions of Osmanthus fragrans absolute through molecular distillation using GC-MS combined with chemometrics methods.

     

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