FOOD SCIENCE ›› 2018, Vol. 39 ›› Issue (17): 67-72.doi: 10.7506/spkx1002-6630-201817011

• Basic Research • Previous Articles     Next Articles

A Method Based on C&R Decision Tree for Primary Screening of Tea Beverage Raw Materials for Tea Beverage

YUAN Haibo, DENG Yuliang, HUA Jinjie, LI Jia, DONG Chunwang, YANG Yanqin, WANG Jinjin, YIN Junfeng, JIANG Yongwen*   

  1. Key Laboratory of Tea Processing Engineering of Zhejiang Province, National Engineering Technology Research Center of Tea Industry, Key Laboratory of Tea Biology and Resources Utilization, Ministry of Agriculture, Tea Research Institute,Chinese Academy of Agricultural Sciences, Hangzhou 310008, China
  • Online:2018-09-15 Published:2018-09-18

Abstract: In the case of tea beverage, the quality of tea raw materials is an important fundamental that determines final product quality. Currently, screening of tea raw materials for tea beverage is usually achieved by quality evaluation after processing them into beverage. The evaluation of tea raw materials is a complicated process involving tea infusion making, sterilization and sensory evaluation before and after sterilization and during storage. This process is time consuming and laborious when used for large-scale sample screening. In this study, we aimed to establish a rapid and efficient approach for screening tea raw materials for tea beverage based on C&R decision tree. We examined the dynamic changes in the sensory color score, brightness, color difference (?a, b and ?a/b) and turbidity of tea infusion at different processing stages of tea beverage. When screening was performed using this method, the range of tea raw materials was reduced by 29.0% (from 62 to 44), increasing the screening efficiency by 40.7% (from 0.226 to 0.318). Moreover, we proposed ?a/b > 0.475 as a major selection criterion for screening of tea raw materials for tea beverage. The approach presented in this study can provide a theoretical basis for establishing a rapid screening method for tea raw materials for tea beverage.

Key words: tea beverage, tea raw material, chroma, C&R decision tree, screenning

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