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风味属性对消费者对瑞士奶酪喜好度的影响。

Impact of flavor attributes on consumer liking of Swiss cheese.

作者信息

Liggett R E, Drake M A, Delwiche J F

机构信息

The Ohio State University, Department of Food Science & Technology, 110 Parker Food Science & Technology Building, 2015 Fyffe Road, Columbus, OH 43210, USA.

出版信息

J Dairy Sci. 2008 Feb;91(2):466-76. doi: 10.3168/jds.2007-0527.

Abstract

Although Swiss cheese is growing in popularity, no research has examined what flavor characteristics consumers desire in Swiss cheese, which was the main objective of this study. To this end, a large group of commercially available Swiss-type cheeses (10 domestic Swiss cheeses, 4 domestic Baby Swiss cheeses, and one imported Swiss Emmenthal) were assessed both by 12 trained panelists for flavor and feeling factors and by 101 consumers for overall liking. In addition, a separate panel of 24 consumers rated the same cheeses for dissimilarity. On the basis of liking ratings, the 101 consumers were segmented by cluster analysis into 2 groups: nondistinguishers (n = 40) and varying responders (n = 61). Partial least squares regression, a statistical modeling technique that relates 2 data sets (in this case, a set of descriptive analysis data and a set of consumer liking data), was used to determine which flavor attributes assessed by the trained panel were important variables in overall liking of the cheeses for the varying responders. The model explained 93% of the liking variance on 3 normally distributed components and had 49% predictability. Diacetyl, whey, milk fat, and umami were found to be drivers of liking, whereas cabbage, cooked, and vinegar were drivers of disliking. Nutty flavor was not particularly important to liking and it was present in only 2 of the cheeses. The dissimilarity ratings were combined with the liking ratings of both segments and analyzed by probabilistic multidimensional scaling. The ideals of each segment completely overlapped, with the variance of the varying responders being smaller than the variance of the non-distinguishers. This model indicated that the Baby Swiss cheeses were closer to the consumers' ideals than were the other cheeses. Taken together, the 2 models suggest that the partial least squares regression failed to capture one or more attributes that contribute to consumer acceptance, although the descriptive analysis of flavor and feeling factors was able to account for 93% of the variance in the liking ratings. These findings indicate the flavor characteristics Swiss cheese producers should optimize, and minimize, to create cheeses that best match consumer desires.

摘要

尽管瑞士奶酪越来越受欢迎,但尚未有研究探讨消费者对瑞士奶酪的风味特征有何期望,而这正是本研究的主要目标。为此,一组大量市售的瑞士型奶酪(10种国产瑞士奶酪、4种国产小瑞士奶酪和1种进口瑞士埃门塔尔奶酪)由12名经过训练的评估员对风味和口感因素进行评估,并由101名消费者对整体喜好程度进行评价。此外,由24名消费者组成的另一小组对相同的奶酪进行了差异评分。根据喜好评分,通过聚类分析将101名消费者分为两组:无差异组(n = 40)和不同反应组(n = 61)。偏最小二乘回归是一种统计建模技术,它关联两个数据集(在本案例中,一组描述性分析数据和一组消费者喜好数据),用于确定经过训练的评估员评估的哪些风味属性是不同反应组对奶酪整体喜好程度的重要变量。该模型在3个正态分布的成分上解释了93%的喜好方差,具有49%的预测能力。发现双乙酰、乳清、乳脂肪和鲜味是喜好的驱动因素,而卷心菜味、熟味和醋味是不喜欢的驱动因素。坚果味对喜好并非特别重要,且仅在两种奶酪中存在。差异评分与两个组的喜好评分相结合,并通过概率多维尺度分析进行分析。每个组的理想情况完全重叠,不同反应组的方差小于无差异组的方差。该模型表明,小瑞士奶酪比其他奶酪更接近消费者的理想情况。综上所述,这两个模型表明,尽管风味和口感因素的描述性分析能够解释喜好评分中93%的方差,但偏最小二乘回归未能捕捉到一个或多个有助于消费者接受的属性。这些发现表明了瑞士奶酪生产商应优化和最小化的风味特征,以生产出最符合消费者期望的奶酪。

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