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Review | Publishing Language: Chinese | Open Access

A Review of Commonly Used ‘Static’ and Dynamic Sensory Description Methods

Zheting ZHANG1 Aolin YANG1Kunli XU1Kexin JIANG1Fanyu MENG1Bei WANG1 ( )Tao JIANG2 ( )
School of Food and Health, Beijing Technology and Business University, Beijing 100048, China
Lyon Neuroscience Research Center, University of Burgundy, Bron 69500, France
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Abstract

The sensory characteristics of foods have become an important part of measuring the quality of foods, and the descriptive analysis of sensory characteristics is of great significance to the evaluation of the sensory characteristics of foods. Currently, the commonly used ‘static’ sensory descriptive methods include quantitative descriptive analysis (QDA) primarily based on expert panels, and the check-all-that-apply (CATA) and rate-all-that-apply (RATA) methods that are available for experts or consumers to profile the overall sensory characteristics of a product. However, the sensory characteristics of foods can change during consumption, so ‘static’ description methods are unable to fully and accurately represent the sensory characteristics of food products and their delicate changes. Therefore, dynamic sensory description methods such as temporal check-all-that-apply (TCATA), time intensity (TI), and temporal dominance of sensation (TDS), which more accurately and completely describe the sensory characteristics of food products, have attracted great attention. In this article, several common ‘static’ and dynamic sensory description methods and their applications are introduced in order to provide methodological guidance for research on the sensory characteristics of food products.

CLC number: TS207.7 Document code: A Article ID: 1002-6630(2024)17-0277-10

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Food Science
Pages 277-286

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Cite this article:
ZHANG Z, YANG A, XU K, et al. A Review of Commonly Used ‘Static’ and Dynamic Sensory Description Methods. Food Science, 2024, 45(17): 277-286. https://doi.org/10.7506/spkx1002-6630-20231129-251

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Received: 29 November 2023
Published: 15 September 2024
© Beijing Academy of Food Sciences 2024.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).