Emerging techniques for determining the quality and safety of tea products: A review

食品安全 质量(理念) 消费者安全 工艺工程 生化工程 计算机科学 环境科学 化学 食品科学 业务 风险分析(工程) 工程类 认识论 哲学
作者
Xiao‐Lan Yu,Da‐Wen Sun,Yong He
出处
期刊:Comprehensive Reviews in Food Science and Food Safety [Wiley]
卷期号:19 (5): 2613-2638 被引量:45
标识
DOI:10.1111/1541-4337.12611
摘要

Abstract Spectroscopic techniques, electrochemical methods, nanozymes, computer vision, and modified chromatographic techniques are the emerging techniques for determining the quality and safety parameters (e.g., physical, chemical, microbiological, and classified parameters, as well as inorganic and organic contaminants) of tea products (such as fresh tea leaves, commercial tea, tea beverage, tea powder, and tea bakery products) effectively. By simplifying the sample preparation, speeding up the detection process, reducing the interference of other substances contained in the sample, and improving the sensitivity and accuracy of the current standard techniques, the abovementioned emerging techniques achieve rapid, cost‐effective, and nondestructive or slightly destructive determination of tea products, with some of them providing real‐time detection results. Applying these emerging techniques in the whole industry of tea product processing, right from the picking of fresh tea leaves, fermentation of tea leaves, to the sensory evaluation of commercial tea, as well as developing portable devices for real‐time and on‐site determination of classified and safety parameters (e.g., the geographical origin, grade, and content of contaminants) will not only eliminate the strong dependence on professionals but also help mechanize the production of tea products, which deserves further research. Conducting a review on the application of spectroscopic techniques, electrochemical methods, nanozymes, computer vision, and modifications of chromatographic techniques for quality and safety determination of tea products may serve as guide for other types of foods and beverages, offering potential techniques for their detection and evaluation, which would promote the development of the food industry.
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