Exploratory Analysis of South American Wines Using Artificial Intelligence

• Published in: Biological trace element research Vol. 201; no. 9; pp. 4590 - 4599
• Main Authors: Carneiro, Candice N., Gomez, Federico J. V., Spisso, Adrian, Silva, Maria Fernanda, Santos, Jorge L. O., Dias, Fabio de S.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2023; Springer Nature B.V
• Subjects: Acid digestion; Algorithms; Aluminum; Analytical chemistry; Artificial Intelligence; Biochemistry; Biomedical and Life Sciences; Biotechnology; Brazil; Cluster analysis; Decision analysis; Decision trees; Ions; Life Sciences; Manganese; Mass Spectrometry - methods; Nutrition; Oncology; Optical emission spectroscopy; Spectrometry; Spectrum Analysis - methods; Support vector machines; Trace Elements - analysis; Wine; Wine - analysis; Wines; Brazil; Wine; Microwave-induced plasma optical emission spectrometry; Elemental composition
• ISSN: 0163-4984; 1559-0720
• DOI: 10.1007/s12011-022-03529-4

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 .