Characterization of Cabernet Sauvignon wines from California: determination of origin based on ICP-MS analysis and machine learning techniques (2020)
- Authors:
- Autor USP: BARBOSA JUNIOR, FERNANDO - FCFRP
- Unidade: FCFRP
- DOI: 10.1007/s00217-020-03480-5
- Subjects: VINHO; APRENDIZADO COMPUTACIONAL; ESPECTROMETRIA DE MASSAS
- Keywords: Wine classification ; Feature selection ; Machine learning ; Support vector machines ; Elemental content
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2020
- Source:
- Título: European Food Research and Technology
- ISSN: 1438-2377
- Volume/Número/Paginação/Ano: v. 246, n. 6, p. 1193-1205, 2020
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
COSTA, Nattane Luíza da et al. Characterization of Cabernet Sauvignon wines from California: determination of origin based on ICP-MS analysis and machine learning techniques. European Food Research and Technology, v. 246, n. 6, p. 1193-1205, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00217-020-03480-5. Acesso em: 10 fev. 2026. -
APA
Costa, N. L. da, Ximenez, J. P. B., Rodrigues, J. L., Barbosa Junior, F., & Barbosa, R. (2020). Characterization of Cabernet Sauvignon wines from California: determination of origin based on ICP-MS analysis and machine learning techniques. European Food Research and Technology, 246( 6), 1193-1205. doi:10.1007/s00217-020-03480-5 -
NLM
Costa NL da, Ximenez JPB, Rodrigues JL, Barbosa Junior F, Barbosa R. Characterization of Cabernet Sauvignon wines from California: determination of origin based on ICP-MS analysis and machine learning techniques [Internet]. European Food Research and Technology. 2020 ; 246( 6): 1193-1205.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1007/s00217-020-03480-5 -
Vancouver
Costa NL da, Ximenez JPB, Rodrigues JL, Barbosa Junior F, Barbosa R. Characterization of Cabernet Sauvignon wines from California: determination of origin based on ICP-MS analysis and machine learning techniques [Internet]. European Food Research and Technology. 2020 ; 246( 6): 1193-1205.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1007/s00217-020-03480-5 - Arsenic removal from contaminated water by ultrafine δ-FeOOH adsorbents
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Informações sobre o DOI: 10.1007/s00217-020-03480-5 (Fonte: oaDOI API)
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