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通过多元数据分析将乳清蛋白强化酸奶系统的奶油口感与仪器数据相关联。

Relating creamy perception of whey protein enriched yogurt systems to instrumental data by means of multivariate data analysis.

机构信息

Dept. of Dairy Science and Technology, Inst. of Food Science and Biotechnology, Univ. of Hohenheim, Garbenstraße 21, 70599, Stuttgart, Germany.

出版信息

J Food Sci. 2013 Feb;78(2):S314-9. doi: 10.1111/1750-3841.12013. Epub 2013 Jan 11.

Abstract

UNLABELLED

Yogurts differing in fat content, protein content, and casein to whey protein ratio were produced, and structurally as well as sensorially examined. The objective of the current research was to evaluate the predictive value of rheological and particle size measurements concerning sensory appearance and texture attributes in 13 differently composed stirred yogurt systems, with a focus on graininess, viscosity, and creaminess. Structural and sensory analyses showed large differences in texture properties between the tested yogurt systems. Both data sets were correlated by means of multivariate statistical methods. Sensory graininess was highly correlated with particle size-related parameters, sensory viscosity was highly correlated with destructive rheological parameters, and creamy perception was highly correlated with particle size-related parameters and destructive rheological parameters but was not as well described by any oscillatory parameter. Best predictive ability (r(2) > 0.89) was found for creaminess combining particle size related- and destructive rheological parameters tested within this study.

PRACTICAL APPLICATION

Knowing the instrumental parameters describing sensory textural attributes provides important information for having a better understanding of the underlying processes during consumer's perception. Knowledge about the sensory behavior of a product and its oral processing imparts an opportunity to fasten the product development process. By means of yogurt systems instrumental parameters derived from particle size analysis and rheological measurements were correlated with sensory attributes in order to determine the main factors leading to the mouthfeel sensations grainy, viscous, and creamy of semisolid milk products.

摘要

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生产了脂肪含量、蛋白质含量和酪蛋白与乳清蛋白比例不同的酸奶,并对其结构和感官进行了检查。目前的研究目的是评估流变学和粒径测量对 13 种不同组成的搅拌酸奶系统感官外观和质地属性的预测价值,重点是颗粒感、粘度和奶油感。结构和感官分析表明,测试的酸奶系统之间的质地特性存在很大差异。通过多元统计方法对两组数据进行了相关性分析。感官颗粒感与与粒径相关的参数高度相关,感官粘度与破坏性流变学参数高度相关,奶油感与粒径相关参数和破坏性流变学参数高度相关,但不能很好地用任何振荡参数来描述。在本研究中测试的结合粒径相关和破坏性流变学参数的奶油感具有最佳的预测能力(r(2) > 0.89)。

实际应用

了解描述感官质地属性的仪器参数为深入了解消费者感知过程中的基本过程提供了重要信息。了解产品的感官行为及其口腔处理为加快产品开发过程提供了机会。通过酸奶系统,从粒径分析和流变学测量中得出的仪器参数与感官属性相关联,以确定导致半固态乳制品口感颗粒感、粘性和奶油感的主要因素。

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