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Recent developments of green analytical techniques in analysis of tea's quality and nutrition

机译:绿色分析技术在茶品质和营养分析中的最新进展

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摘要

Public attention in tea quality and nutrition has increased significantly in recent decades, due in part to changes in consumer behavior and the gradually increasing consumption of tea. Demand for high quality tea products obviously requires high standards of quality assurance and process control; satisfying this demand in turn requires appropriate analytical tools for analysis of tea quality and nutrition. Green analytical tool, as an alternative to conventional analysis methods, has the desirable features in terms of operating speed, ease-of-use, minimal or no sample preparation, and avoidance of sample destruction. This paper reviews recent developed technologies, such as near infrared (NIR) spectroscopy, electronic tongue (E-tongue), electronic nose (E-nose), computer vision, integration of multiple sensors, and latest research efforts to assess tea quality and nutrition. Particularly, we have reviewed some relevant data processing algorithms involved in each green analytical tool. Finally, we provided the technical challenges and outlook for the application of these green analytical technologies in analysis of tea quality and nutrition.
机译:近几十年来,公众对茶叶质量和营养的关注显着增加,部分原因是消费者行为的变化和茶叶消费的逐步增加。对高质量茶产品的需求显然需要高标准的质量保证和过程控制;满足这一需求又需要适当的分析工具来分析茶的质量和营养。绿色分析工具可以替代常规分析方法,在操作速度,易用性,最少或不需要样品制备以及避免样品破坏方面具有理想的功能。本文回顾了最近开发的技术,例如近红外(NIR)光谱,电子舌(E-舌头),电子鼻(E-nose),计算机视觉,集成多个传感器以及评估茶质量和营养的最新研究成果。特别是,我们已经审查了每种绿色分析工具中涉及的一些相关数据处理算法。最后,我们提供了在茶叶质量和营养分析中应用这些绿色分析技术的技术挑战和前景。

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