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Junges CH, Guerra CC, Canedo-Reis NAP, Gomes AA, Ferrão MF. Discrimination of whole grape juice using fluorescence spectroscopy data with linear discriminant analysis coupled to genetic and ant colony optimisation algorithms. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:187-195. [PMID: 36514991 DOI: 10.1039/d2ay01636b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
In this study, a new approach was developed for classifying grape juices produced in Brazil using unfolded excitation-emission matrix (EEM) fluorescence spectroscopy and chemometrics, with respect to the agricultural production system, namely the conventional or organic agricultural one. Linear discriminant analysis (LDA) coupled to ant colony optimisation (ACO) and the genetic algorithm (GA) were used to select a more effective subset of variables to discriminate grape juice samples. The best results demonstrated highly efficient classification of grape juice samples according to a conventional or organic production process with an accuracy rate of up to 97% for the models and 94% in the prediction of these classes for samples external to the model. The models showed high selectivity and sensitivity with a rate of up to 100% for the training and test datasets, in addition to determining the most significant variables that explain the separation of classes. The proposed method proves to be viable, as it is fast and requires minimal sample preparation, allowing quality control in the food industry.
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Affiliation(s)
- Carlos H Junges
- Laboratório de Quimiometria e Instrumentação Analítica (LAQIA), Instituto de Química, Universidade Federal do Rio Grande do Sul (UFRGS), Avenida Bento Gonçalves, 9500, Porto Alegre, Rio Grande do Sul (RS), CEP 91501-970, Brazil.
| | - Celito C Guerra
- Laboratório de Cromatografia e Espectrometria de Massas (LACEM), Unidade Uva e Vinho, Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Rua Livramento, 515, Bento Gonçalves, Rio Grande do Sul, Brazil
| | - Natalia A P Canedo-Reis
- Programa de Pós-Graduação em Ciências Farmacêuticas, Faculdade de Farmácia, Universidade Federal do Rio Grande do Sul, Avenida Ipiranga, 2752, Porto Alegre, Rio Grande do Sul, CEP 90610-000, Brazil
| | - Adriano A Gomes
- Laboratório de Quimiometria e Instrumentação Analítica (LAQIA), Instituto de Química, Universidade Federal do Rio Grande do Sul (UFRGS), Avenida Bento Gonçalves, 9500, Porto Alegre, Rio Grande do Sul (RS), CEP 91501-970, Brazil.
| | - Marco F Ferrão
- Laboratório de Quimiometria e Instrumentação Analítica (LAQIA), Instituto de Química, Universidade Federal do Rio Grande do Sul (UFRGS), Avenida Bento Gonçalves, 9500, Porto Alegre, Rio Grande do Sul (RS), CEP 91501-970, Brazil.
- Instituto Nacional de Ciência e Tecnologia-Bioanalítica (INCT-Bioanalítica), Cidade Universitária Zeferino Vaz, s/n, Campinas, São Paulo (SP), CEP 13083-970, Brazil
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Green analytical methodology for grape juice classification using FTIR spectroscopy combined with chemometrics. TALANTA OPEN 2022. [DOI: 10.1016/j.talo.2022.100168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Jahani R, van Ruth S, Yazdanpanah H, Faizi M, Shojaee AliAbadi MH, Mahboubi A, Kobarfard F. Isotopic signatures and patterns of volatile compounds for discrimination of genuine lemon, genuine lime and adulterated lime juices. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.108837] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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4
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Authenticity and traceability in beverages. Food Chem 2019; 277:12-24. [DOI: 10.1016/j.foodchem.2018.10.091] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 10/04/2018] [Accepted: 10/18/2018] [Indexed: 01/17/2023]
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5
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Electronic Nose in Combination with Chemometrics for Characterization of Geographical Origin and Agronomic Practices of Table Grape. FOOD ANAL METHOD 2019. [DOI: 10.1007/s12161-019-01458-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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The scientific challenges in moving from targeted to non-targeted mass spectrometric methods for food fraud analysis: A proposed validation workflow to bring about a harmonized approach. Trends Food Sci Technol 2018. [DOI: 10.1016/j.tifs.2018.08.007] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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7
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Monteiro PI, Santos JS, Alvarenga Brizola VR, Pasini Deolindo CT, Koot A, Boerrigter-Eenling R, van Ruth S, Georgouli K, Koidis A, Granato D. Comparison between proton transfer reaction mass spectrometry and near infrared spectroscopy for the authentication of Brazilian coffee: A preliminary chemometric study. Food Control 2018. [DOI: 10.1016/j.foodcont.2018.04.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Granato D, Putnik P, Kovačević DB, Santos JS, Calado V, Rocha RS, Cruz AGD, Jarvis B, Rodionova OY, Pomerantsev A. Trends in Chemometrics: Food Authentication, Microbiology, and Effects of Processing. Compr Rev Food Sci Food Saf 2018; 17:663-677. [PMID: 33350122 DOI: 10.1111/1541-4337.12341] [Citation(s) in RCA: 246] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 01/25/2018] [Accepted: 01/26/2018] [Indexed: 11/27/2022]
Abstract
In the last decade, the use of multivariate statistical techniques developed for analytical chemistry has been adopted widely in food science and technology. Usually, chemometrics is applied when there is a large and complex dataset, in terms of sample numbers, types, and responses. The results are used for authentication of geographical origin, farming systems, or even to trace adulteration of high value-added commodities. In this article, we provide an extensive practical and pragmatic overview on the use of the main chemometrics tools in food science studies, focusing on the effects of process variables on chemical composition and on the authentication of foods based on chemical markers. Pattern recognition methods, such as principal component analysis and cluster analysis, have been used to associate the level of bioactive components with in vitro functional properties, although supervised multivariate statistical methods have been used for authentication purposes. Overall, chemometrics is a useful aid when extensive, multiple, and complex real-life problems need to be addressed in a multifactorial and holistic context. Undoubtedly, chemometrics should be used by governmental bodies and industries that need to monitor the quality of foods, raw materials, and processes when high-dimensional data are available. We have focused on practical examples and listed the pros and cons of the most used chemometric tools to help the user choose the most appropriate statistical approach for analysis of complex and multivariate data.
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Affiliation(s)
- Daniel Granato
- Dept. of Food Engineering, State Univ. of Ponta Grossa, Av. Carlos Cavalcanti, 4748, 84030-900, Ponta Grossa, Brazil
| | - Predrag Putnik
- Faculty of Food Technology and Biotechnology, Univ. of Zagreb, Pierottijeva 6, 10000, Zagreb, Croatia
| | - Danijela Bursać Kovačević
- Faculty of Food Technology and Biotechnology, Univ. of Zagreb, Pierottijeva 6, 10000, Zagreb, Croatia
| | - Jânio Sousa Santos
- Dept. of Food Engineering, State Univ. of Ponta Grossa, Av. Carlos Cavalcanti, 4748, 84030-900, Ponta Grossa, Brazil
| | - Verônica Calado
- School of Chemistry, Federal Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Ramon Silva Rocha
- Dept. de Alimentos, Inst. Federal de Educação, Ciência e Tecnologia (IFRJ), 20270-021, Rio de Janeiro, Brazil
| | - Adriano Gomes Da Cruz
- Dept. de Alimentos, Inst. Federal de Educação, Ciência e Tecnologia (IFRJ), 20270-021, Rio de Janeiro, Brazil
| | - Basil Jarvis
- Dept. of Food and Nutrition Sciences, School of Chemistry, Food and Pharmacy, The Univ. of Reading, Whiteknights, Reading, Berkshire RG6 6AP, U.K
| | - Oxana Ye Rodionova
- Semenov Inst. of Chemical Physics RAS, Kosygin str. 4, 119991, Moscow, Russia
| | - Alexey Pomerantsev
- Semenov Inst. of Chemical Physics RAS, Kosygin str. 4, 119991, Moscow, Russia
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Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: A critical perspective. Trends Food Sci Technol 2018. [DOI: 10.1016/j.tifs.2017.12.006] [Citation(s) in RCA: 399] [Impact Index Per Article: 66.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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10
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Masi E, Taiti C, Vignolini P, Petrucci AW, Giordani E, Heimler D, Romani A, Mancuso S. Polyphenols and aromatic volatile compounds in biodynamic and conventional ‘Golden Delicious’ apples (Malus domestica Bork.). Eur Food Res Technol 2017. [DOI: 10.1007/s00217-017-2861-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Application of a self-developed proton transfer reaction-mass spectrometer to on-line monitoring trace volatile organic compounds in ambient air. Chem Res Chin Univ 2016. [DOI: 10.1007/s40242-016-5462-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Granato D, Magalhães Carrapeiro MD, Fogliano V, van Ruth SM. Effects of geographical origin, varietal and farming system on the chemical composition and functional properties of purple grape juices: A review. Trends Food Sci Technol 2016. [DOI: 10.1016/j.tifs.2016.03.013] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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13
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Margraf T, Santos ÉNT, de Andrade EF, van Ruth SM, Granato D. Effects of geographical origin, variety and farming system on the chemical markers and in vitro antioxidant capacity of Brazilian purple grape juices. Food Res Int 2016. [DOI: 10.1016/j.foodres.2016.02.003] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Granato D, Koot A, Schnitzler E, van Ruth SM. Authentication of Geographical Origin and Crop System of Grape Juices by Phenolic Compounds and Antioxidant Activity Using Chemometrics. J Food Sci 2015; 80:C584-93. [DOI: 10.1111/1750-3841.12794] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Accepted: 12/24/2014] [Indexed: 11/28/2022]
Affiliation(s)
- Daniel Granato
- RIKILT-Inst. of Food Safety; Wageningen Univ. and Research Centre; P.O. Box 230, 6700 AE Wageningen The Netherlands
- Food Quality and Design Group; Wageningen Univ. and Research Centre; P.O. Box 17, 6700 AA Wageningen The Netherlands
- Dept. of Food Engineering; State Univ. of Ponta Grossa; Av. Carlos Cavalcanti, 4748, 84030-900 Ponta Grossa Brazil
| | - Alex Koot
- RIKILT-Inst. of Food Safety; Wageningen Univ. and Research Centre; P.O. Box 230, 6700 AE Wageningen The Netherlands
| | - Egon Schnitzler
- Dept. of Food Engineering; State Univ. of Ponta Grossa; Av. Carlos Cavalcanti, 4748, 84030-900 Ponta Grossa Brazil
| | - Saskia M. van Ruth
- RIKILT-Inst. of Food Safety; Wageningen Univ. and Research Centre; P.O. Box 230, 6700 AE Wageningen The Netherlands
- Food Quality and Design Group; Wageningen Univ. and Research Centre; P.O. Box 17, 6700 AA Wageningen The Netherlands
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