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Alfieri G, Modesti M, Riggi R, Bellincontro A. Recent Advances and Future Perspectives in the E-Nose Technologies Addressed to the Wine Industry. SENSORS (BASEL, SWITZERLAND) 2024; 24:2293. [PMID: 38610504 PMCID: PMC11014050 DOI: 10.3390/s24072293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 03/26/2024] [Accepted: 04/01/2024] [Indexed: 04/14/2024]
Abstract
Electronic nose devices stand out as pioneering innovations in contemporary technological research, addressing the arduous challenge of replicating the complex sense of smell found in humans. Currently, sensor instruments find application in a variety of fields, including environmental, (bio)medical, food, pharmaceutical, and materials production. Particularly the latter, has seen a significant increase in the adoption of technological tools to assess food quality, gradually supplanting human panelists and thus reshaping the entire quality control paradigm in the sector. This process is happening even more rapidly in the world of wine, where olfactory sensory analysis has always played a central role in attributing certain qualities to a wine. In this review, conducted using sources such as PubMed, Science Direct, and Web of Science, we examined papers published between January 2015 and January 2024. The aim was to explore prevailing trends in the use of human panels and sensory tools (such as the E-nose) in the wine industry. The focus was on the evaluation of wine quality attributes by paying specific attention to geographical origin, sensory defects, and monitoring of production trends. Analyzed results show that the application of E-nose-type sensors performs satisfactorily in that trajectory. Nevertheless, the integration of this type of analysis with more classical methods, such as the trained sensory panel test and with the application of destructive instrument volatile compound (VOC) detection (e.g., gas chromatography), still seems necessary to better explore and investigate the aromatic characteristics of wines.
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Affiliation(s)
| | | | | | - Andrea Bellincontro
- Department for Innovation in Biological, Agro-Food and Forest Systems, University of Tuscia, Via S. Camillo de Lellis, 01100 Viterbo, Italy; (G.A.); (M.M.); (R.R.)
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Visalli M, Dubois M, Schlich P, Ric F, Cardebat JM, Georgantzis N. Relevance of free-comment to describe wine temporal sensory perception: An application with panels varying in culture and expertise. Food Qual Prefer 2023. [DOI: 10.1016/j.foodqual.2022.104785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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4
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Identifying drivers of liking and characterizing the ideal product thanks to Free-Comment. Food Qual Prefer 2022. [DOI: 10.1016/j.foodqual.2021.104389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Koenig L, Cariou V, Symoneaux R, Coulon-Leroy C, Vigneau E. Additive trees for the categorization of a large number of objects, with bootstrapping strategy for stability assessment. Application to the free sorting of wine odor terms. Food Qual Prefer 2021. [DOI: 10.1016/j.foodqual.2020.104137] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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7
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Mahieu B, Visalli M, Thomas A, Schlich P. Free-comment outperformed check-all-that-apply in the sensory characterisation of wines with consumers at home. Food Qual Prefer 2020. [DOI: 10.1016/j.foodqual.2020.103937] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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8
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Koenig L, Coulon-Leroy C, Symoneaux R, Cariou V, Vigneau E. Influence of expertise on semantic categorization of wine odors. Food Qual Prefer 2020. [DOI: 10.1016/j.foodqual.2020.103923] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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9
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Cosson A, Delarue J, Mabille AC, Druon A, Descamps N, Roturier JM, Souchon I, Saint-Eve A. Block protocol for conventional profiling to sensory characterize plant protein isolates. Food Qual Prefer 2020. [DOI: 10.1016/j.foodqual.2020.103927] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Barton A, Hayward L, Richardson CD, McSweeney MB. Use of different panellists (experienced, trained, consumers and experts) and the projective mapping task to evaluate white wine. Food Qual Prefer 2020. [DOI: 10.1016/j.foodqual.2020.103900] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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11
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Pereira LL, Guarçoni RC, Moreira TR, de Sousa LHBP, Cardoso WS, Moreli AP, da Silva SF, Ten Caten CS. Very beyond subjectivity: The limit of accuracy of Q-Graders. J Texture Stud 2019; 50:172-184. [PMID: 30676645 DOI: 10.1111/jtxs.12390] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 01/11/2019] [Accepted: 01/18/2019] [Indexed: 11/28/2022]
Abstract
When it comes to the sensory analysis of specialty coffees, it is necessary to discuss the protocol of tests of the Specialty Coffee Association (SCA) and the formation of Q-Graders as reliable parameters in the sensory analysis. However, the training of these Q-Graders and the use of the SCA protocol has generated discussions in the scientific community and demonstrated the importance of talking about the level of professional precision as well as the use of the protocol. This study sought to understand the relation of accuracy and efficiency of the Q-Graders and protocol in the sensory analysis of coffees. Three experiments were carried out to evaluate and test the hypotheses regarding the level of precision in relation to the shift, the number of samples and the judgment abilities of Q-Graders due to the quality of the specialty coffee and nonspecialty coffee. These three experiments were performed by seven Q-Graders in an isolated environment during three consecutive days with 137 specialty coffee samples and 7 nonspecialty coffee samples as defined by the SCA. The results indicate that the Q-Graders present high precision when evaluating excellent and outstanding coffees, as defined by the SCA. In addition, the effect of the shift did not exert fatigue on the Q-Graders. However, evaluation errors were made by the Q-Graders on very good coffee (77.00-80.00 points), which are considered as nonspecialty by the SCA, thus allowing a more in-depth discussion on what would be the boundary between a specialty and nonspecialty coffee. PRACTICAL APPLICATIONS: The article deals with the sensory evaluation process of coffees, and it has great importance to teaching and research institutions in Brazil, the largest producer, largest exporter and the country with the highest concentration of coffee scholars in the world. The article focuses on a new approach and a new way of looking at the sensory evaluation process of coffees, using the methodology of the Specialty Coffee Association to analyze the accuracy and efficiency of the Q-Graders.
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Affiliation(s)
- Lucas Louzada Pereira
- Instituto Federal de Ciência Tecnologia e Educação do Espírito Santo, Departamento de Ciência e Tecnologia de Alimentos, Venda Nova do Imigrante, Brazil
| | - Rogério Carvalho Guarçoni
- Departamento de Estatística, Instituto Capixaba de Assistência Técnica, Pesquisa e Extensão - INCAPER, Vitória, Brazil
| | - Taís Rizzo Moreira
- Universidade Federal do Espírito Santo, Centro de Ciências Agrárias e Engenharias, Jerônimo Monteiro, Brazil
| | | | - Wilton Soares Cardoso
- Departamento de Ciência de Alimentos, Instituto Federal do Espírito Santo, Venda Nova do Imigrante, Brazil
| | - Aldemar Polonini Moreli
- Departamento de Ciência de Alimentos, Instituto Federal do Espírito Santo, Venda Nova do Imigrante, Brazil
| | - Samuel Ferreira da Silva
- Universidade Federal do Espírito Santo, Centro de Ciências Agrárias e Engenharias, Jerônimo Monteiro, Brazil
| | - Carla Schwengber Ten Caten
- Universidade Federal do Rio Grande do Sul - UFRGS, Programa de Pós-Graduação em Engenharia de Produção, Porto Alegre, Brazil
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Kemp B, Pickering G, Willwerth J, Inglis D. Investigating the use of partial napping with ultra-flash profiling to identify flavour differences in replicated, experimental wines. ACTA ACUST UNITED AC 2018. [DOI: 10.1080/09571264.2018.1532879] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Belinda Kemp
- Cool Climate Oenology and Viticulture Institute, Brock University, St Catharines, Canada
- Department of Biological Sciences, Faculty of Mathematics and Sciences, Brock University, St Catharines, Canada
| | - Gary Pickering
- Cool Climate Oenology and Viticulture Institute, Brock University, St Catharines, Canada
- Department of Biological Sciences, Faculty of Mathematics and Sciences, Brock University, St Catharines, Canada
- Environmental Sustainability Research Centre, Brock University, St Catharines, Canada
- National Wine and Grape Industry Centre, Charles Sturt University, Wagga Wagga, Australia
| | - James Willwerth
- Cool Climate Oenology and Viticulture Institute, Brock University, St Catharines, Canada
- Department of Biological Sciences, Faculty of Mathematics and Sciences, Brock University, St Catharines, Canada
| | - Debra Inglis
- Cool Climate Oenology and Viticulture Institute, Brock University, St Catharines, Canada
- Department of Biological Sciences, Faculty of Mathematics and Sciences, Brock University, St Catharines, Canada
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Vigneau E, Courcoux P, Symoneaux R, Guérin L, Villière A. Random forests: A machine learning methodology to highlight the volatile organic compounds involved in olfactory perception. Food Qual Prefer 2018. [DOI: 10.1016/j.foodqual.2018.02.008] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Kos Skubic M, Erjavec K, Ule A, Klopčič M. Consumers' hedonic liking of different labeled and conventional food products in Slovenia. J SENS STUD 2018. [DOI: 10.1111/joss.12444] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Affiliation(s)
- Mira Kos Skubic
- Ministry of Agriculture, Forestry and Food, The Administration of the Republic of Slovenia for Food Safety, Veterinary Sector and Plant Protection; Ljubljana Slovenia
| | - Karmen Erjavec
- University of Novo mesto Faculty of Economics and Informatics; Novo Mesto Slovenia
| | - Anita Ule
- Biotechnical Faculty, Department of Animal Science; University of Ljubljana; Domžale Slovenia
| | - Marija Klopčič
- Biotechnical Faculty, Department of Animal Science; University of Ljubljana; Domžale Slovenia
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