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Wang J, Wang J, Qiao L, Zhang N, Sun B, Li H, Sun J, Chen H. From Traditional to Intelligent, A Review of Application and Progress of Sensory Analysis in Alcoholic Beverage Industry. Food Chem X 2024; 23:101542. [PMID: 38974198 PMCID: PMC11225692 DOI: 10.1016/j.fochx.2024.101542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Revised: 06/01/2024] [Accepted: 06/06/2024] [Indexed: 07/09/2024] Open
Abstract
Sensory analysis is an interdisciplinary field that combines multiple disciplines to analyze food qualitatively and quantitatively. At present, this analysis method has been widely used in product development, quality control, marketing, flavor analysis, safety supervision and inspection of alcoholic beverages. Due to the changing needs of analysis, new and more optimized methods are still emerging. Thereinto, intelligent and biometric technologies with growing attention have also been applied to sensory analysis. This work summarized the sensory analysis methods from three aspects, including traditional artificial sensory analysis, intelligent sensory technology, and innovative technologies. Meanwhile, the application sensory analysis in alcoholic beverages and its industrial production was scientifically emphasized. Moreover, the future tendency of sensory analysis in the alcoholic beverage industry is also highlights.
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Affiliation(s)
- Junyi Wang
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
| | - Jing Wang
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology & Business University, Beijing 100048, China
| | - Lina Qiao
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
| | - Ning Zhang
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology & Business University, Beijing 100048, China
| | - Baoguo Sun
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
| | - Hehe Li
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
| | - Jinyuan Sun
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
| | - Haitao Chen
- Beijing Key Laboratory of Flavor Chemistry, Beijing Technology & Business University, Beijing 100048, China
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Xiangli R, Ma Y, Zeng Y, Tang K, Chen S, Xu Y. Differences and correlations between industrial experts and semi-trained assessors in the sensory evaluation of strong-aroma baijiu using rate-all-that-apply. J Food Sci 2024; 89:5841-5857. [PMID: 39113577 DOI: 10.1111/1750-3841.17280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 06/18/2024] [Accepted: 07/11/2024] [Indexed: 10/09/2024]
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.
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Affiliation(s)
- Ran Xiangli
- 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
| | - Yue Ma
- 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
| | - Yong Zeng
- Sichuan Liquor and Tea Industry Investment Group Co., Ltd., Yibinjiu Co., Ltd., Yibin, Sichuan, P. R. China
| | - Ke Tang
- 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
| | - Shuang Chen
- 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
| | - Yan Xu
- 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
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Malfeito-Ferreira M. Fine wine recognition and appreciation: It is time to change the paradigm of wine tasting. Food Res Int 2023; 174:113668. [PMID: 37981366 DOI: 10.1016/j.foodres.2023.113668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/31/2023] [Accepted: 11/03/2023] [Indexed: 11/21/2023]
Abstract
Wine quality maybe understood under two perspectives: (a) commercial quality, intended to satisfy overall consumers, and (b) fine wine quality, aimed at achieving a product with aesthetic value. The current food sensory techniques (e.g. Descriptive Analysis) have been successfully applied to develop wines accepted worldwide and characterized by pleasant sweetish flavours and smooth mouthfeel. On the contrary, these techniques are not suited to characterize fine wines given their dependence on sensory properties with aesthetic value. The conventional tasting approaches follow the sequence of vision, smell (orthonasal), taste and mouthfeel, ending by an overall evaluation. The sensory descriptors tend to be analytic (e.g. different aromas and tastes) or synthetic (e.g. body, structure) and the quality judgement is left for the final step. Some synthetic attributes may have an aesthetic significance (e.g. complexity, harmony, depth) and are more valued when the analytic or synthetic descriptors are highly praised (e.g. oakiness, silkiness, body, minerality). Consequently, these highly praised attributes are regarded as surrogates of fine wine quality. However, commercial wines are frequently judged of higher quality than fine wines irrespective of the taster expertise. We argue that the conventional sensory analysis sequence makes the overall evaluation secondary in relation to the previous analytical steps blurring the assessment of wine's aesthetic properties. Probably due to top-down processing, the initial evaluation of colour or flavours governs the final overall quality evaluation that may be inconsistently rated. Then, to promote the recognition of fine wines, tasting should begin by first acknowledging the aesthetic properties and only proceed to the analytical steps if necessary. A tasting method is proposed to consumer educational programs where emotional responses are used to explain the differences between commercial and fine wine styles. Furthermore, cultural aspects should be included to appreciate the wholeness of wine. Hopefully, this holistic perspective would turn wine appreciation more approachable and facilitate the recognition of fine wines among consumers, increasing their appreciation and enjoyment.
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Affiliation(s)
- Manuel Malfeito-Ferreira
- Linking Landscape, Environment, Agriculture and Food (LEAF) Research Centre, Associated Laboratory TERRA, Instituto Superior de Agronomia, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, Portugal.
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Zhao Q, Du G, Zhao P, Guo A, Cao X, Cheng C, Liu H, Wang F, Zhao Y, Liu Y, Wang X. Investigating wine astringency profiles by characterizing tannin fractions in Cabernet Sauvignon wines and model wines. Food Chem 2023; 414:135673. [PMID: 36821921 DOI: 10.1016/j.foodchem.2023.135673] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 01/31/2023] [Accepted: 02/09/2023] [Indexed: 02/19/2023]
Abstract
Contribution of various phenols on wine astringency profiles was far from clear explanations. To effectively describe wine astringency profiles and determined the function of tannins/matrix (pH and ethanol), multiple chemical analyses combined RATA (Rate-all-that-apply) sensory method were applied in Cabernet Sauvignon and model wines. Results showed that polymeric flavanols determined the bulk of wine astringency intensity, oligomeric tannins enriched the smoothness and periodontium astringency, and monomeric phenol enhanced overall astringency intensity through synergistic effect. Astringency balance was effectively quantification, and its potential correlation relationship with epicatechin extension subunit (0.83) and fluorescence peak shift (0.75) cannot be ignored. The astringency profiles of condensed tannins with anthocyanins were enhanced. Low-pH (from 3.8 to 3.0) enhanced astringency by increasing the tannins affinity to proteins, while ethanol (from 10.0 % ∼ 15.0 %) decreased the hydrophobicity bond between tannins-protein interaction. This paper provided new insights to explain wine astringency profiles and a reference for astringency modification during winemaking.
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Affiliation(s)
- Qinghao Zhao
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China
| | - Guorong Du
- School of Biological and Environmental Engineering, Xi'an University, Xi'an 710065, PR China
| | - Pengtao Zhao
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China; Engineering Research Center for High-Valued Utilization of Fruit Resources in Western China, Ministry of Education, Xi'an 710119, PR China; National Research & Development Center of Apple Processing Technology, Xi'an 710119, PR China.
| | - Anque Guo
- College of Enology, Northwest A&F University, Yangling 712100, PR China
| | - Xiaomeng Cao
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China
| | - Chenyaqiong Cheng
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China
| | - Hui Liu
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China
| | - Fei Wang
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China
| | - Yuefan Zhao
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China
| | - Yan Liu
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China
| | - Xiaoyu Wang
- College of Food Engineering and Nutritional Science, Shaanxi Normal University, Shaanxi, 620 West Chang'an Avenue, Xi'an 710119, PR China; Engineering Research Center for High-Valued Utilization of Fruit Resources in Western China, Ministry of Education, Xi'an 710119, PR China; National Research & Development Center of Apple Processing Technology, Xi'an 710119, PR China.
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Rabitti NS, Cattaneo C, Appiani M, Proserpio C, Laureati M. Describing the Sensory Complexity of Italian Wines: Application of the Rate-All-That-Apply (RATA) Method. Foods 2022; 11:foods11162417. [PMID: 36010416 PMCID: PMC9407563 DOI: 10.3390/foods11162417] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 08/02/2022] [Accepted: 08/04/2022] [Indexed: 12/03/2022] Open
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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