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Electronic Tongue and Sensory Evaluation for Sensing Apple Juice Taste Attributes

机译:电子舌和感官评估,用于感知苹果汁的口味属性

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The objective of the work reported here was to determine perceived intensity of the taste attributes of commercial apple juice samples and modified juices by the application of the electronic tongue, with special respect to sweetness and sourness. Furthermore, the task was to determine the relationship between the results of sensory evaluation and electronic tongue measurement for apple juices and to predict definite taste attributes. In the sensory evaluation apple juice, apple taste is the most important attribute followed by sweet taste and sour taste. These sensory attributes have the highest discrimination power at a 5% significance level for distinguishing the samples. Principle component analysis and linear discriminant analysis were used to evaluate the results of electronic tongue measurement. Based on the first and third principle components (PC) the groups of the tested samples show a good separation. The position of the sample groups on these plots follow the tendency obtained by the sensory evaluation. PC1 follows the tendency of "apple taste" and PC3 follows the tendencies of "sweet taste" and "sour taste" evaluated by the sensory panel. The latter statement was confirmed by the modified apple juice test results. The potential of the electronic tongue to predict the sensory attributes of the apple juice samples was evaluated by partial least square models. The best and worst prediction capabilities were found for "apple taste" (r = 0.94, RMSEP = 6.65) and for "off taste" (r = 0.73, RMSEP = 9.64), respectively. Consequently, the application of modified apple juice samples mean considerable perspective for describing the perceived intensity of definite taste attributes.
机译:此处报道的工作目的是通过应用电子舌来确定商业苹果汁样品和改性汁的味道属性的感知强度,尤其要注意甜味和酸味。此外,任务是确定苹果汁的感官评估结果与电子舌头测量结果之间的关系,并预测明确的口味属性。在感官评估苹果汁中,苹果的味道是最重要的属性,其次是甜味和酸味。这些感官属性在5%的显着性水平下具有最高的辨别力,可用于区分样本。主成分分析和线性判别分析用于评估电子舌测量的结果。基于第一和第三主要成分(PC),测试样品组显示出良好的分离效果。这些图上样品组的位置遵循通过感官评估获得的趋势。 PC1遵循“苹果味”的趋势,PC3遵循由感官小组评估的“甜味”和“酸味”的趋势。修改后的苹果汁测试结果证实了后者的说法。通过局部最小二乘模型评估了电子舌预测苹果汁样品的感官属性的潜力。分别对“苹果味”(r = 0.94,RMSEP = 6.65)和“异味”(r = 0.73,RMSEP = 9.64)找到了最佳和最差的预测能力。因此,改性苹果汁样品的应用意味着可观的视角来描述特定口味属性的感知强度。

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