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应用喜好排序法对浓香型白酒进行感官评价时,工业专家与半训评估师之间的差异与相关性。

Differences and correlations between industrial experts and semi-trained assessors in the sensory evaluation of strong-aroma baijiu using rate-all-that-apply.

机构信息

Laboratory of Brewing Microbiology and Applied Enzymology, School of Biotechnology and Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University, Wuxi, Jiangsu, P. R. China.

China Key Laboratory of Microbiomics and Eco-Brewing Technology for Light Industry, Wuxi, Jiangsu, P. R. China.

出版信息

J Food Sci. 2024 Sep;89(9):5841-5857. doi: 10.1111/1750-3841.17280. Epub 2024 Aug 8.

Abstract

Baijiu has rich and complex sensory characteristics, and how to make the sensory analysis results given by baijiu industrial experts better understood by consumers has been attracting a lot of attention. In this study, 35 strong-aroma baijiu samples were evaluated by 12 industrial experts and 21 semi-trained assessors, respectively, using rate-all-that-apply (RATA) methods, which involved 2 groups of lexicons generated by the 2 panels. The results showed that the RATA method was suitable for analyzing and distinguishing different baijiu samples by both industrial experts and semi-trained assessors. Although the industrial experts and the semi-trained assessors selected very different lexicons to describe the same strong-aroma baijiu samples, most descriptors from the expert evaluators are either positively or negatively correlated with the semi-trained assessors, such as the attributes "aldehyde," "mud," "multi-grain," and "scorched," and these attributes are effective in distinguishing different strong-aroma baijiu samples. These correlations could enable the marketing promotion and consumer evaluation of baijiu products in the future. PRACTICAL APPLICATION: The result could help baijiu market, in particular the worldwide beverage market, better understand how different baijiu samples are described and evaluated by industrial experts, and further enable the marketing promotion and consumer evaluation of baijiu products in the future.

摘要

白酒具有丰富而复杂的感官特征,如何使白酒行业专家给出的感官分析结果更容易被消费者理解,一直备受关注。本研究采用 RATA 方法,分别由 12 位行业专家和 21 位半训评估员对 35 个浓香型白酒样品进行评估,该方法涉及由两组评估小组生成的两组词汇。结果表明,RATA 方法适用于行业专家和半训评估员分析和区分不同的白酒样品。尽管行业专家和半训评估员选择了非常不同的词汇来描述相同的浓香型白酒样品,但专家评估员的大多数描述符与半训评估员呈正相关或负相关,例如“醛”、“泥”、“多粮”和“焦”等属性,这些属性可有效区分不同的浓香型白酒样品。这些相关性可以帮助未来的白酒产品营销推广和消费者评估。实际应用:该结果可以帮助白酒市场,特别是全球饮料市场,更好地了解行业专家如何描述和评估不同的白酒样品,并进一步帮助未来的白酒产品营销推广和消费者评估。

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