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多变量方法在感官分析橄榄油参比物质稳定性控制中的应用 - 第 I 部分:框架和基础。

Multivariate approaches for stability control of the olive oil reference materials for sensory analysis - part I: framework and fundamentals.

机构信息

Department of Analytical Chemistry, Faculty of Science, University of Granada, Granada, Spain.

Agricultural and Fishery Research Institute (IFAPA) Consejería de Agricultura, Pesca y Desarrollo Rural, Junta de Andalucía, Sevilla, Spain.

出版信息

J Sci Food Agric. 2018 Aug;98(11):4237-4244. doi: 10.1002/jsfa.8948. Epub 2018 Mar 25.

Abstract

BACKGROUND

Virgin olive oil is the only food product for which sensory analysis is regulated to classify it in different quality categories. To harmonize the results of the sensorial method, the use of standards or reference materials is crucial. The stability of sensory reference materials is required to enable their suitable control, aiming to confirm that their specific target values are maintained on an ongoing basis. Currently, such stability is monitored by means of sensory analysis and the sensory panels are in the paradoxical situation of controlling the standards that are devoted to controlling the panels.

RESULTS

In the present study, several approaches based on similarity analysis are exploited. For each approach, the specific methodology to build a proper multivariate control chart to monitor the stability of the sensory properties is explained and discussed.

CONCLUSION

The normalized Euclidean and Mahalanobis distances, the so-called nearness and hardiness indices respectively, have been defined as new similarity indices to range the values from 0 to 1. Also, the squared mean from Hotelling's T -statistic and Q -statistic has been proposed as another similarity index. © 2018 Society of Chemical Industry.

摘要

背景

橄榄油是唯一一种其感官分析受到监管以将其分类到不同质量类别的食品产品。为了协调感官方法的结果,使用标准或参考物质至关重要。感官参考物质的稳定性是必需的,以使其能够得到适当的控制,目的是确认其特定的目标值在持续的基础上得以维持。目前,这种稳定性是通过感官分析来监测的,感官小组处于控制专门用于控制小组的标准的矛盾情况中。

结果

在本研究中,利用了几种基于相似性分析的方法。对于每种方法,都解释和讨论了建立适当的多元控制图来监测感官特性稳定性的具体方法。

结论

归一化欧几里得和马氏距离,分别称为接近度和坚固度指数,已被定义为新的相似性指数,范围从 0 到 1。此外,还提出了 Hotelling 的 T -统计量和 Q -统计量的平方均值作为另一个相似性指数。© 2018 化学工业协会。

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