芳香
模糊逻辑
化学
计算机科学
绿茶
食品科学
人工智能
作者
Feihu Song,Xiaohu Jia,Zhenfeng Li,Chunfang Song
出处
期刊:Food bioscience
[Elsevier BV]
日期:2023-06-01
卷期号:53: 102841-102841
被引量:3
标识
DOI:10.1016/j.fbio.2023.102841
摘要
An intelligent control system is designed in green tea fixation, which can automatically and continuously adjust the fixation parameters for quality improvement. Aroma is detected with PEN-3 electronic nose, and signals are sent to the computer. With the aroma signals, the fixation process is separated into two stages: in the first stage, the key purpose is enzymatic reaction, which can be suppressed with high temperature; it is the oxidation reaction which should be concentrated on in the second stage, and a middle temperature is a good choice. With the designed fuzzy logic algorithm, the pot temperature is kept at a high level at the beginning, and the enzymatic reaction can be successfully reduced. In the second stage, the temperature is kept at a middle value to decrease oxidation. With the designed intelligent control, the green tea product quality is improved for aroma, taste, appearance, liquor color, and residues.
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