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中国精品科技期刊2020
徐小博,徐萍,司志敏,等. 基于酚酸类成分评价不同品种金银花枝和叶的利用价值[J]. 食品工业科技,2024,45(19):247−255. doi: 10.13386/j.issn1002-0306.2023100033.
引用本文: 徐小博,徐萍,司志敏,等. 基于酚酸类成分评价不同品种金银花枝和叶的利用价值[J]. 食品工业科技,2024,45(19):247−255. doi: 10.13386/j.issn1002-0306.2023100033.
XU Xiaobo, XU Ping, SI Zhimin, et al. Evaluation of the Utilization Value of Different Germplasm of Lonicera japonica Thunb Branches and Leaves Based on Phenolic Acid Components[J]. Science and Technology of Food Industry, 2024, 45(19): 247−255. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023100033.
Citation: XU Xiaobo, XU Ping, SI Zhimin, et al. Evaluation of the Utilization Value of Different Germplasm of Lonicera japonica Thunb Branches and Leaves Based on Phenolic Acid Components[J]. Science and Technology of Food Industry, 2024, 45(19): 247−255. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023100033.

基于酚酸类成分评价不同品种金银花枝和叶的利用价值

Evaluation of the Utilization Value of Different Germplasm of Lonicera japonica Thunb Branches and Leaves Based on Phenolic Acid Components

  • 摘要: 以8个品种金银花的枝和叶为研究对象,建立8种酚酸类成分的高效液相色谱检测方法,测定样品中酚酸类成分的含量特征,将含量测定结果经聚类分析、因子综合分析及偏最小二乘判别分析(PLS-DA)等多元统计学方法评价。结果表明,建立的金银花枝和叶中8种酚酸类成分的含量测定方法稳定、可靠、简便。8个品种金银花枝和叶中的酚酸类成分总含量变化范围分别为19.4162~33.6684、40.9900~80.3068 mg·g−1。不同品种间酚酸类成分总含量差异较大,枝和叶中均为‘北花一号’的总含量最高,‘巨花一号’的总含量最低。聚类分析发现,金银花枝中,‘北花一号’单独聚为一类,其各组分含量高于其他品种;因子综合分析表明,‘北花一号’综合得分>1;PLS-DA分析筛选出异绿原酸A、异绿原酸C、阿魏酸和绿原酸可能是引起枝的酚酸含量差异的主要成分。金银花叶中,‘北花一号’和‘九丰一号’聚为一类,且这两个品种因子综合分析得分>1;PLS-DA分析筛选出绿原酸、咖啡酸和阿魏酸可能是引起叶的酚酸含量差异的主要成分。总之,不同品种金银花枝和叶的主要酚酸类成分特征存在差异,就酚酸类成分而言,‘北花一号’和‘九丰一号’的枝和叶更有优势。本研究为金银花枝和叶的利用提供了科学依据。

     

    Abstract: The branches and leaves of 8 varieties of Lonicera japonica as materials, a high-performance liquid chromatography detection method for 8 phenolic acid components was established to determine the content characteristics of phenolic acids in the samples. The content determination results were evaluated by multivariate statistical methods such as cluster analysis, factor comprehensive analysis, and partial least squares discriminant analysis (PLS-DA). The results indicated that the established method for determining the content of 8 phenolic acids in the branches and leaves of L. japonica was stable, reliable and simple. The variation range of phenolic acids total content in the branches and leaves of 8 varieties of L. japonica was 19.4162~33.6684 mg·g−1, and 40.9900~80.3068 mg·g−1, respectively. The total content of phenolic acids varied greatly among different varieties, with 'Beihua No.1' had the highest total content in both branches and leaves, and 'Juhua No.1' had the lowest total content. Cluster analysis found that among the branches of 'Beihua No.1' was clustered separately into one group, with higher content of each component than other varieties. Factor comprehensive analysis showed that the comprehensive score of 'Beihua No.1' was >1. PLS-DA analysis identified isochlorogenic acid A, isochlorogenic acid C, ferulic acid and chlorogenic acid as the main components that might cause differences in phenolic acid content in branches. Among leaves, 'Beihua No.1' and 'Jiufeng No.1' were clustered into one category, and their comprehensive factor analysis scores were both greater than 1. PLS-DA analysis identified chlorogenic acid, caffeic acid and ferulic acid as the main components that might cause differences in phenolic acid content in leaves. In summary, there were differences in the main phenolic acid composition characteristics of different varieties. In terms of phenolic acid content, the branches and leaves of 'Beihua No.1' and 'Jiufeng No.1' have more advantages. This study provides a scientific basis for the utilization of L. japonica branches and leaves.

     

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