ArticleFoods (Basel, Switzerland)2022
Describing the Sensory Complexity of Italian Wines: Application of the Rate-All-That-Apply (RATA) Method.
Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Definition of a sensory lexicon and development of sensory wheels of eighteen monovarietal Italian white wines.Journal of the science of food and agriculture · 2026Article
- Focus on flavors: Physico-chemical, primary metabolite, volatile, and sensory analysis of seven white table grape cultivars in China.Food chemistry: X · 2025Article
- Sensory and Instrumental Characterization of Parmigiano Reggiano Protected Designation of Origin Cheese Obtained from Milk of Cows Fed Fresh Herbage vs. Dry Hay.Foods (Basel, Switzerland) · 2025Article
- Deciphering consumer perceptions of Kisra prepared from biofortified and non-biofortified sorghum cultivars using the rate-all-that-apply (RATA) method.Frontiers in nutrition · 2025Article
- From Traditional to Intelligent, A Review of Application and Progress of Sensory Analysis in Alcoholic Beverage Industry.Food chemistry: X · 2024Review
- Assessment of Whole Grain Ancient Wheat Sourdough in Lyophilised and Native Forms for Cookie Formulation.Foods (Basel, Switzerland) · 2024Article
- Decoding the Identity of Pinot Gris and Pinot Noir Wines: A Comprehensive Chemometric Fusion of Sensory (from Dual Panel) and Chemical Analysis.Foods (Basel, Switzerland) · 2023Article
- Comparison of Check-All-That-Apply (CATA), Rate-All-That-Apply (RATA), Flash Profile, Free Listing, and Conventional Descriptive Analysis for the Sensory Profiling of Sweet Pumpkin Porridge.Foods (Basel, Switzerland) · 2023Article
- Sensory Wheel and Lexicon for the Description of Cold-Pressed Hemp Seed Oil.Foods (Basel, Switzerland) · 2023Article
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5 authors.
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Abstract
The aim of this study was to characterise a large and heterogeneous Italian wine sample applying the Rate-All-That-Apply method (RATA) with semi-trained judges. Twelve judges evaluated 46 samples including white, red, rosé and sparkling wines in two replicates. Judges were asked to select from a list of descriptors all the sensations that described the samples and to evaluate their intensity. Judges obtained high repeatability index scores. A good panel reliability was also highlighted in terms of the reproducibility of the whole sensory characterisation through a multi-factor analysis (MFA). MFA results also showed a good discriminatory ability of the panel with red wines described by bitterness, astringency, body, alcohol and specific olfactory stimuli such as red fruits, spicy and roasted, while white wines were salty, sour and characterised by citrus, tropical fruits and white flowers odours. The RATA method is a suitable and reliable methodology for the description of a wide variety of wine samples and a valuable alternative approach to conventional descriptive analysis to gather information about the sensory perception of a very complex product even when large panels of consumers are not available. Furthermore, the present results provide useful information for wine producers to characterise their products as well as for the optimisation of production disciplinaries, which currently are not exhaustive in the description and the discrimination among products.
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