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Standard Analytical Methods Sensory Evaluation NIRS and Electronic Tongue for Sensing Taste Attributes of Different Melon Varieties

机译:不同瓜类感官特性的标准分析方法感官评估NIRS和电子舌

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摘要

Grafting by vegetables is a practice with many benefits, but also with some unknown influences on the chemical composition of the fruits. Our goal was to assess the effects of grafting and storage on the extracted juice of four orange-fleshed Cantaloupe type ( , , , ) melons and two green-fleshed Galia types ( , ), using sensory profile analysis and analytical instruments: An electronic tongue (E-tongue) and near-infrared spectroscopy (NIRS). Both instruments are known for rapid qualitative and quantitative food analysis. Linear discriminant analysis (LDA) was used to classify melons according to their varieties and storage conditions. Partial least square regression (PLSR) was used to predict sensory and standard analytical parameters. variety had the highest intensity for sensory attributes in Cantaloupe variety. Both green and orange-fleshed melons were discriminated and predicted in LDA with high accuracies (100%) using the E-tongue and NIRS. Galia and Cantaloupe inter-varietal classification with the E-tongue was 89.9% and 82.33%, respectively. NIRS inter-varietal classification was 100% with variety being the most discriminated as with the sensory results. Both instruments, classified different storage conditions of melons (grafted and self-rooted) with high accuracies. PLSR showed high accuracy for some standard analytical parameters, where significant differences were found comparing different varieties in ANOVA.
机译:蔬菜嫁接是一种有益的做法,但对水果的化学成分也有一些未知的影响。我们的目标是使用感官特征分析和分析仪器,评估嫁接和贮藏对四种橙肉哈密瓜类型(,,)瓜和两种绿肉伽利亚类型()的提取汁的影响:电子舌(电子舌)和近红外光谱(NIRS)。两种仪器都可以快速进行定性和定量食品分析。线性判别分析(LDA)用于根据瓜的品种和储存条件对瓜进行分类。偏最小二乘回归(PLSR)用于预测感官和标准分析参数。甜瓜品种的感官属性强度最高。在LDA中,使用电子舌和NIRS对绿色和橙色肉瓜进行了区分和预测,准确率高达100%。带有电子舌的Galia和哈密瓜品种分类分别为89.9%和82.33%。 NIRS的品种间分类为100%,与感官结果最能区分的是品种。两种仪器均以高准确度对甜瓜(嫁接和自生)的不同贮藏条件进行了分类。 PLSR对某些标准分析参数显示出很高的准确性,在方差分析中比较不同品种时发现了显着差异。

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