An overview of wine sensory characterization: from classical descriptive analysis to the emergence of novel profiling techniques

The wine industry requires coexistence between tradition and innovation to meet consumers’ preferences. Sensory science allows the objective quantification of consumers’ understanding of a product and subjective feedback of consumer’s perception through acceptance or rejection of stimulus or even describing emotions evoked [1]. To measure sensations, emotions and liking, and their dynamics over time, time-intensity methods are crucial tools with growing interest in sensory science [2]. 

Aim: This research aimed to give a big picture of the latest investigation about sensory methods and their variations, and the successful application of sensory devices and immersive contexts in wine evaluation. 

Methods: An overview of all the recent findings in sensory science methodologies, including sensory descriptive tests (quantitative descriptive analysis (ADQ), flash profiling, projective mapping and napping, check-all-that-apply (CATA), open-ended questions, preferred attribute elicitation method, polarised sensory positioning, free –choice profiling, sorting) [3], sensory discriminative tests (triangle test, tetrad test, duo-trio test, paired comparison, intensity scales, forced-choice tests) [4], sensory hedonic tests (hedonic methods, consumers’ preference, and emotions), time-intensity methods (dual-attribute time-intensity, multiple-attribute time-intensity, temporal dominance of sensations), instrumental sensory devices and immersive techniques (e-nose, e-tongue, virtual reality, gaming) and sensory data treatment are reviewed.

Results: This study is the first attempt to characterize sensory methods and techniques, from classical descriptive analysis to the emergence of novel profiling techniques, comparing the different approaches and predicting some future research on this topic.

Conclusions: The characterization of sensory methods and techniques have been investigated in the literature. However, there is a limited articulation between descriptive, discriminative, hedonic tests and time-intensity methods as well as instrumental sensory devices and immersive techniques. Furthermore, statistical techniques in sensory science play a crucial role and increasingly allow a more precise sensory data analysis and more adapted to a complex product such as wine. 

Authors: Catarina Marques – CITAB, Centre for the Research and Technology of Agro-Environmental and Biological Sciences, Department of Biology and Environment, School of Life Sciences and Environment, University of Trás-os-Montes and Alto Douro, P-5000-801 Vila Real, Portugal; catarina.ipsmarques@gmail.com,Alfredo, AIRES, CITAB, Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto Douro, P-5000-801 Vila Real, Portugal; alfredoa@utad.pt  Elisete, CORREIA, Center for Computational and Stochastic Mathematics (CEMAT), Dep. of Mathematics, IST-UL, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal; ecorreia@utad.pt  Alice, VILELA, Chemistry Research Centre (CQ-VR), Dep. of Biology and Environment, School of Life and Environmental Sciences, University of Trás-os-Montes e Alto Douro, Vila Real, Portugal; avimoura@utad.pt 

Email: catarina.ipsmarques@gmail.com

Keywords: sensory analysis; instrumental sensory devices; immersive techniques; statistical techniques; wine

Share via
Copy link
Powered by Social Snap