天然产物研究与开发 ›› 2024, Vol. 36 ›› Issue (4): 622-631.doi: 10.16333/j.1001-6880.2024.4.009

• 研究简报 • 上一篇    下一篇

茯砖茶感官特征分析及其产地判别模型构建研究

邓岳朝1,2,邹卓扬1,2,李   月3,陈益能2,周跃斌3,沈程文3,陈历清4,方   逵1,2*   

  1. 1湖南农业大学机电工程学院;2湖南农业大学信息与智能科学技术学院;3湖南农业大学茶学教育部重点实验室,长沙 410128;4安化县茶旅产业发展服务中心,安化 413500
  • 出版日期:2024-04-28 发布日期:2024-04-28
  • 基金资助:
    国家自然科学基金面上项目(31271789);湖南省重点研发计划(2017NK2381)

Sensory characterisation of Fu brick tea and the construction of its origin discrimination model

DENG Yue-zhao1,2,ZOU Zhuo-yang1,2,LI Yue3,CHEN Yi-neng2,ZHOU Yue-bing3,SHEN Cheng-wen3,CHENG Li-qing4,FANG Kui1,2*#br#   

  1. 1College of Mechanical and Electrical Engineering,Hunan Agricultural University;2School of Information and Intelligent Science and Technology,Hunan Agricultural University;3Key Laboratory of Ministry of Tea Science,Hunan Agricultural University,Changsha 410128,China;4Anhua County Tea Tourism Industry Development Service Center,Anhua 413500,China
  • Online:2024-04-28 Published:2024-04-28

摘要:

为客观准确地评价不同产地茯砖茶感官特征品质,结合感官审评、化学组分检测、化学计量学等研究茯砖茶感官品质特征及不同产地茯砖茶判别模型构建。结果表明:湖南、浙江、陕西等19个茯砖茶因原料物质基础的不同其感官品质有非常明显的差异。其中,茯砖茶滋味得分(taste score,TS)与咖啡碱(caffeine,CAF)、水浸出物(water leachate,WL)、儿茶素(catechin,CAT)和表儿茶素(epicatechin, EC)呈现出显著相关性,其相关系数(P<0.05)分别为0.81、0.62、0.55、0.50。同时,基于化学组分的主成分(PCA)表明,前4个主成分的累计方差贡献率为79.48%,并以前4个主成分的线性回归方程和贡献率构建了茯砖茶感官品质综合评价模型与产地判别模型。正交偏最小二乘法判别分析(OPLA-DA)显示,19个不同产地的茯砖茶样品被明显地划分为3组,评价模型对不同产地茯砖茶识别度较高。采用交叉验证法对模型进行验证,模型对自变量的拟合指数(R2X)为0.879,对因变量的拟合指数(R2Y)为0.992,预测指数(Q2)为0.53。经OPLS-DA共识别出6种预测变量重要性投影(VIP)值大于1的差异指标,其中茶多酚(tea polyphenols,TPP)、可溶性糖(soluble sugar,SS)、CAF、WL为茯砖茶感官特征标志性差异品质成分。结果表明,应用感官审评、化学组分检测、化学计量学等方法可以实现茯砖茶感官特征及其不同产地茯砖茶的快速、准确判别,同时也为茯砖茶感官特征及其不同产地判别提供一种新的参考方法。

关键词: 茯砖茶, 感官特征, 正交偏最小二乘法判别分析, 模型构建

Abstract:

In order to objectively and accurately evaluate the quality of sensory characteristics of Fu brick tea from different origins,combining sensory review,chemical component detection,chemometrics and other research on the sensory quality characteristics of the Fu brick tea from different origins and its discernment model construction.The results show that the sensory quality of 19 Fu brick tea from Hunan,Zhejiang and Shanxi has very obvious differences due to the different material bases of the raw materials.Among them,the taste score (TS) of Fu brick tea showed significant correlation with caffeine (CAF),water leachate (WL),catechin (CAT) and epicatechin (EC),with the correlation coefficients (P<0.05) of 0.81,0.62,0.55,and 0.50,respectively.Meanwhile,the principal component (PCA) based on chemical components showed that the cumulative variance contribution of the first four principal components was 79.48%,and the linear regression equations and contribution of the first four principal components were used to construct the sensory quality evaluation model and the origin discrimination model of Fu brick tea.Oethogonal projections to latent structures discriminant analysis (OPLA-DA) showed that the 19 Fu brick tea samples from different origins were clearly divided into three groups,and the evaluation model had a high recognition degree for Fu brick tea from different origins.The model was validated using the cross-validation method and the model had a fit index (R2X) of 0.879 for the independent variable,(R2Y) of 0.992 for the dependent variable,and a predictive index (Q2) of 0.53.A total of six variance indicators with variable importance in projection (VIP) values greater than one were identified by OPLS-DA,among which caffeine,water leachate,tea polyphenols,and soluble sugars were the signature variance quality components of sensory characteristics of Fu birck tea.The results show that the application of sensory review,chemical component detection,chemometrics and other methods can achieve the rapid and accurate discrimination of the sensory characteristics of Fu brick tea from different origins,and at the same time,it also provides a new reference method for the discrimination sensory characteristics of Fu brick tea from different origins.

Key words: Fu brick tea, sensory characteristics, oethogonal projections to latent structures discriminant

中图分类号:  TS272