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Exploratory Analysis of South American Wines Using Artificial Intelligence

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Abstract

In this work, microwave-induced plasma optical emission spectrometry was applied for multielement determination in South American wine samples. The analytes were determined after acid digestion of 47 samples of Brazilian and Argentinian wines. Then, logistic regression, support vector machine, and decision tree for exploratory analysis and comparison of these algorithms in differentiating red wine samples by region of origin were carried out. All wine samples were classified according to their geographical origin. The quantification limits (mg L−1) were P: 0.06, B: 0.08, K: 0.17, Mn: 0.002, Cr: 0.002, and Al: 0.02. The accuracy of the method was evaluated by analyzing the wine samples by ICP OES for results’ comparison. The concentrations in mg L−1 found for each element in wine samples were as follows: Al (< 0.02–1.82), Cr (0.15–0.50), Mn (< 0.002–0.8), P (97–277), B (1.7–11.6), Pb (< 0.06–0.3), Na (8.84–41.57), and K (604–1701), in mg L−1.

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Acknowledgements

The authors are grateful to Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for providing grants, fellowships, and financial support.

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Authors and Affiliations

  1. Centro de Ciências Exatas E Tecnológicas, Universidade Federal Do Recôncavo da Bahia, Campus Universitário de Cruz das Almas, Cruz das Almas, Bahia, 44380-000, Brazil

    Candice N. Carneiro

  2. Instituto de Biología Agrícola de Mendoza (IBAM-CONICET), Facultad de Ciencias Agrarias, Universidad Nacional de Cuyo, Mendoza, Argentina

    Federico J. V. Gomez, Adrian Spisso & Maria Fernanda Silva

  3. Centro Multidisciplinar de Bom Jesus da Lapa, Universidade Federal Do Oeste da Bahia, Bom Jesus da Lapa, Bahia, 47600-000, Brazil

    Jorge L. O. Santos

  4. Instituto de Química, Universidade Federal da Bahia, Campus Universitário de Ondina, Salvador, Bahia, Brazil

    Fabio de S. Dias

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  1. Candice N. Carneiro
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  2. Federico J. V. Gomez
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  3. Adrian Spisso
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  4. Maria Fernanda Silva
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  5. Jorge L. O. Santos
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Contributions

FSD, CNC, FJVG, AS, and JLOS designed the study. CNC, FSD, JLOS, and MFS wrote the manuscript. All authors read and approved the manuscript.

Corresponding author

Correspondence to Fabio de S. Dias.

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Carneiro, C.N., Gomez, F.J.V., Spisso, A. et al. Exploratory Analysis of South American Wines Using Artificial Intelligence. Biol Trace Elem Res 201, 4590–4599 (2023). https://doi.org/10.1007/s12011-022-03529-4

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