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中国精品科技期刊2020
雷亚兰,周志梅,李瑾,等. 基于主成分分析和聚类分析方法评价宝庆桂丁绿茶品质特性[J]. 食品工业科技,2022,43(6):269−277. doi: 10.13386/j.issn1002-0306.2021060075.
引用本文: 雷亚兰,周志梅,李瑾,等. 基于主成分分析和聚类分析方法评价宝庆桂丁绿茶品质特性[J]. 食品工业科技,2022,43(6):269−277. doi: 10.13386/j.issn1002-0306.2021060075.
LEI Yalan, ZHOU Zhimei, LI Jin, et al. Quality Analysis of Baoqing Guiding Green Tea Based on Principal Component and Cluster Analysis[J]. Science and Technology of Food Industry, 2022, 43(6): 269−277. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021060075.
Citation: LEI Yalan, ZHOU Zhimei, LI Jin, et al. Quality Analysis of Baoqing Guiding Green Tea Based on Principal Component and Cluster Analysis[J]. Science and Technology of Food Industry, 2022, 43(6): 269−277. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021060075.

基于主成分分析和聚类分析方法评价宝庆桂丁绿茶品质特性

Quality Analysis of Baoqing Guiding Green Tea Based on Principal Component and Cluster Analysis

  • 摘要: 为探讨宝庆桂丁绿茶的品质并建立其评价体系,本研究选取30份宝庆桂丁绿茶样品,对感官品质进行评定,并测定水浸出物、茶多酚、咖啡碱、氨基酸、可溶性糖等生化成分的含量和儿茶素组成。同时,采用主成分分析(principal component analysis,PCA)和聚类分析(cluster analysis,CA)对宝庆桂丁绿茶品质进行综合评价,并建立宝庆桂丁绿茶品质评价模型。结果表明:宝庆桂丁绿茶感官综合评价,春茶最佳,夏茶次之,秋茶最差;宝庆桂丁绿茶的水浸出物含量为44.77%~49.17%,茶多酚含量为22.49%~26.84%,咖啡碱含量为4.89%~5.93%,氨基酸含量为2.88%~5.84%,可溶性糖含量为4.16%至7.02%,呈现高氨基酸、高咖啡碱和高EGCG的特征,符合名优绿茶的生化特征;不同采摘时期宝庆桂丁绿茶生化成分含量之间呈现极显著相关性,其中水浸出物、茶多酚、咖啡碱、D-LC、EC、GCG极显著相关(P<0.01),茶多酚、咖啡碱、可溶性糖显著相关(P<0.05);主成分分析法提取出3个主成分因子累积方差贡献率达到89.869%,并建立宝庆桂丁绿茶综合品质评价模型为F=0.543F1+0.310F2+0.046F3;根据聚类分析结果可知,氨基酸、可溶性糖、EGCG和ECG等4个生化成分含量指标可以用来综合评价宝庆桂丁绿茶品质的优劣,同时可以将宝庆桂丁绿茶依据采制时间划分为2个类群,4个亚类群,其综合品质依采制时间逐渐降低。本研究揭示了宝庆桂丁茶生化特征,建立了可行的品质评价模型,并确定了关键品质指标,为宝庆桂丁绿茶的品种选育和资源开发利用奠定理论依据。

     

    Abstract: In order to explore the quality of Baoqing guiding green tea and establish its evaluation system, 30 samples of Baoqing guiding green tea were selected to evaluate the sensory quality, and the contents of biochemical components such as water extract, tea polyphenols, caffeine, amino acids and soluble sugar and catechin composition were determined. At the same time, the quality of Baoqing guiding green tea was comprehensively evaluated by principal component analysis (PCA) and cluster analysis (CA), and the quality evaluation model of Baoqing guiding green tea was established. The results showed that the sensory of spring tea was the best, summer tea was the second, and autumn tea was the worst. The water extract content of Baoqing guiding green tea was 44.77%~49.17%, the content of tea polyphenols was 22.49%~26.84%, the content of caffeine was 4.89%~5.93%, the content of amino acids was 2.88%~5.84%, and the content of soluble sugar was 4.16%~7.02%, which showed the characteristics of high amino acid, high caffeine and high EGCG, and accorded with the biochemical characteristics of famous green tea. There was a very significant correlation between the contents of biochemical components of Baoqing guiding green tea at different picking stages, of which water extract, tea polyphenol, caffeine, D-LC, EC and GCG were significantly correlated (P<0.01), while tea polyphenol, caffeine and soluble sugar were significantly correlated (P<0.05). Three principal components were extracted by PCA and the cumulative variance contribution rate was 89.869%, and the comprehensive quality evaluation model of Baoqing guiding green tea was established as F=0.543F1+0.310F2+0.046F3. According to result of CA, amino acids, soluble sugar, EGCG and ECG should be taken and the main basis for classification of Baoqing guiding green tea. Baoqing green tea could be divided into 2 groups and 4 subgroups and its comprehensive quality decreased gradually according to the collecting time. This study could provide a reasonable and quantifiable evaluation method for tea quality. The biochemical characteristics of Baoqing guiding tea were revealed, a feasible quality evaluation model was established, and the key quality indexes were determined in this study, which would provide theoretical basis for the variety breeding, development and utilization of Baoqing guiding tea resources.

     

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