Use of Multivariate Analysis Methods in the Sensory Evaluation of Sweet Potato Chips

L. F. C. Júnior, Thaynara Cristine Moraes Coelho
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Abstract

Aims: To determine the acceptance of sweet potato chips through the application of multivariate analysis methods. Study Design: Sweet potato chips were subjected to sensory analysis. Place and Duration of Study: Study was carried out at Laboratory of Agriculture of the State Technical School Arlindo Ferreira dos Santos, Sertânia-PE, Brazil, During the pedagogic show held on November 23rd and 24th, 2017. Methodology: The sweet potato was minimally processed with the aid of a multiprocessor of food (Metvisa) to obtain the chips. Sensory analysis was performed according to the hedonic scale of nine points: 9 = as extremely and 1 = not extremely like. The tasters attributed notes to the appearance of the attributes, aroma, flavor and color. Results: Factorial analysis made it possible to reduce the variables for two common factors, being factor 1, the factor containing the highest original information (88.05% of the original variation was explained by this factor). Subsequently, the cluster analysis allowed the formation of three groups of tasters presenting different characteristics. Conclusion: These results demonstrate that the use of multivariate analysis methods becomes important in the verification of the acceptance of new products to be submitted to the evaluation by the consumer, taking into account the differences presented in this evaluation, aiming at the commercialization of these products.
多变量分析方法在甘薯片感官评价中的应用
目的:应用多变量分析方法确定红薯片的接受度。研究设计:对甘薯片进行感官分析。研究地点和时间:在2017年11月23日和24日举行的教学展期间,研究在巴西sertnia - pe国家技术学校Arlindo Ferreira dos Santos农业实验室进行。方法:在食品多处理机(Metvisa)的帮助下,对甘薯进行最低限度的加工以获得薯片。感官分析是根据9分的快乐量表进行的:9 =非常喜欢,1 =不非常喜欢。品酒师将味道归因于酒的外观、香气、味道和颜色。结果:因子分析可以减少两个常见因子的变量,因子1是原始信息含量最高的因子(88.05%的原始变异被该因子解释)。随后,聚类分析允许形成三组具有不同特征的品尝者。结论:这些结果表明,在验证消费者对提交评估的新产品的接受程度时,考虑到评估中呈现的差异,以这些产品的商业化为目标,使用多变量分析方法变得重要。
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