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Advanced Taste Sensors Based on Artificial Lipids with Global Selectivity to Basic Taste Qualities and High Correlation to Sensory Scores

机译:基于人工脂类的高级味觉传感器对基本味觉质量具有全局选择性并且与感官评分高度相关

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摘要

Effective R&D and strict quality control of a broad range of foods, beverages, and pharmaceutical products require objective taste evaluation. Advanced taste sensors using artificial-lipid membranes have been developed based on concepts of global selectivity and high correlation with human sensory score. These sensors respond similarly to similar basic tastes, which they quantify with high correlations to sensory score. Using these unique properties, these sensors can quantify the basic tastes of saltiness, sourness, bitterness, umami, astringency and richness without multivariate analysis or artificial neural networks. This review describes all aspects of these taste sensors based on artificial lipid, ranging from the response principle and optimal design methods to applications in the food, beverage, and pharmaceutical markets.
机译:要对各种食品,饮料和药品进行有效的研发和严格的质量控制,就需要进行客观的口味评估。基于整体选择性和与人类感官评分高度相关的概念,已开发出使用人工脂质膜的高级味觉传感器。这些传感器对相似的基本口味的反应相似,它们与感觉得分的相关性很高。利用这些独特的特性,这些传感器无需进行多变量分析或人工神经网络即可量化咸味,酸味,苦味,鲜味,涩味和丰富度的基本口味。这篇综述描述了基于人工脂质的这些味觉传感器的各个方面,从响应原理和最佳设计方法到在食品,饮料和制药市场中的应用。

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