Affiliation:
1. Tea Research Institute Shandong Academy of Agricultural Sciences Jinan, Shandong China
2. Tea Research Institute Guangdong Academy of Agricultural Sciences/Guangdong Key Laboratory of Tea Plant Resources Innovation & Utilization Guangzhou Guangdong China
Abstract
AbstractWithering and spreading, though slightly differing in their parameters, share the same aim of moisture reduction in tea leaves, and they have a strong impact on the physical and chemical properties of tea. Even though researchers tend to pay close attention to the characteristic crafts of different teas, increasing investigations begin to focus on the withering process due to its profound effects on the composition and content of quality‐related compounds. This review provides an overview of tea withering process to address questions comprehensively during withering. Hence, it is expected in this review to figure out factors that affect withering results, the way withering influences the physical and chemical properties of withered leaves and tea quality, and intelligent technologies and devices targeted at withering processes to promote the modernization of the tea industry. Herein, several key withering parameters, including duration, temperature, humidity, light irradiation, airflow, and more, are tailored to different tea types, demanding further exploration of advanced withering devices and real‐time monitoring systems. The development of real‐time monitoring technology enables objective and real‐time adjustment of withering status in order to optimize withering results. Tea quality, including taste, aroma, and color quality, is first shaped during withering due to the change of composition and content of quality‐related metabolites through (non)enzymatic reactions, which are easily influenced by the factors above. A thorough understanding of withering is key to improving tea quality effectively and scientifically.
Funder
Natural Science Foundation of Shandong Province
Reference125 articles.
1. Black tea withering moisture detection method based on convolution neural network confidence
2. Robustness and accuracy evaluation of moisture prediction model for black tea withering process using hyperspectral imaging
3. Effects of solar withering on the tender degree of fresh leaves and the quality of black tea processed by tea tree varieties;Cao S.;Journal of Huazhong Agricultural University,2024
4. Chen H. Cao J. Chen W. Ma C. Miao A. Pang S. &Sun S.(2016)Intelligent withering trough(CN Patent NO. CN205321083 U). State Intellectual Property Office of the People's Republic of China.