食品科学 ›› 2012, Vol. 33 ›› Issue (22): 225-230.

• 分析检测 • 上一篇    下一篇

基于主成分分析法的安溪铁观音香气质量评价模型的构建

张雪波1,2,肖世青3,杜先锋1,*,朱文伟4   

  1. 1. 安徽农业大学 茶叶生物化学与生物技术教育部、农业部重点实验室 2.国家茶叶质量监督检验中心(福建) 3.荆州出入境检验检疫局 4. 安溪铁观音集团
  • 收稿日期:2011-08-09 修回日期:2012-10-18 出版日期:2012-11-25 发布日期:2012-11-20
  • 通讯作者: 杜先锋 E-mail:dxf@ahau.edu.cn
  • 基金资助:

    福建省质量技术监督局科技项目

Modeling for Aroma Quality Evaluation of Anxi Tieguanyin Tea Based on Principal Component Analysis

  • Received:2011-08-09 Revised:2012-10-18 Online:2012-11-25 Published:2012-11-20

摘要: 从4个季节(每个季节两个等级)共8个安溪铁观音茶样中提取并分离出74种香气组分。通过主成分分析法鉴定出安溪铁观音中的主要特征香气成分,它们分别是:橙花叔醇、法呢烯、吲哚、苯乙醇、反-2-己烯醛、壬醛、苯乙醛、亚油酸甲酯、亚麻酸甲酯、棕榈酸甲酯、顺-己酸-3-己烯酯、苯甲酸-3-己烯-1-醇酯、辛酸-2-苯乙酯、5-正丁基-δ-戊内酯、顺式茉莉酮、法尼基丙酮、棕榈酸、香叶基芳樟醇异构体。利用主成分分析法,基于综合评价函数F=β1F1+β2F2+…+βkFk构建了安溪铁观音香气质量的评价模型,以不同特征值的方差贡献率βi(i=1,2,…,k)为加权系数,利用所建立的模型计算各样本得分,然后进行排序评价各个茶样的香气质量。通过感官评价法进一步对模型评价结果进行了检验,结果显示两种方法具有很好的一致性,表明所建立的方法是可行的。

关键词: 茶, 铁观音, 香气, 气相色谱-质谱法, 主成分分析法

Abstract: A total of 74 volatile compounds were extracted and separated from 8 Anxi Tieguanyin tea samples (harvested at four different seasons; two degrees each season). The major aromatic compounds in Anxi Tieguanyin tea were nerolidol, farnesene, indole, phenylethyl alcohol, (E)-2-hexenal, nonanal, benzeneacetaldehyde, methyl linoleate, methyl linolenate, methyl palmitate, (Z)-3-hexenyl hexanoate, 3-hexen-1-ol benzoate, octanoic acid, 2-phenylethyl ester, delta- nonalactone, cis-jasmone, farnesylacetone, palmitic acid, and geranyl linalool isomer as demonstrated by principal component analysis (PCA). A PCA model for the aroma quality evaluation of Anxi Tieguanyin tea was constructed using the variance contribution rates of various eigenvalues βi (i = 1, 2, ……, k) as weight coefficients based on the comprehensive evaluation function: F = β1F1 + β2F2 +…+ βkFk and used to calculate aroma quality score for each tea sample for aroma quality evaluation. The evaluation results were in good agreement with those obtained from sensory evaluations, indicating the developed method to be feasible.

Key words: Tieguanyin tea, aroma, GC-MS, principal component analysis

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