On the fractional-order modeling of wine

Detalhes bibliográficos
Autor(a) principal: Lopes, António M.
Data de Publicação: 2016
Outros Autores: Machado, J.A.Tenreiro, Ramalho, Elisa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/9369
Resumo: This paper uses electrical impedance spectroscopy for characterizing different varieties of wine and compares the results with standard chemical analysis. In a first phase, the electrical impedance of wine samples is measured and modeled by means of fractional-order transfer functions. The impedance model parameters are then correlated with chemical data to unveil potential relationships between the distinct descriptions. In a second phase, the multidimensional scaling technique is adopted for data clustering and visualizing. The methodology is illustrated on a set of commercially available wines. The results demonstrate that fractional-order models represent conveniently the impedance of wine, with a reduced number of parameters.
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spelling On the fractional-order modeling of wineElectrical impedance spectroscopyFractional-order modelsMultidimensional scalingWineThis paper uses electrical impedance spectroscopy for characterizing different varieties of wine and compares the results with standard chemical analysis. In a first phase, the electrical impedance of wine samples is measured and modeled by means of fractional-order transfer functions. The impedance model parameters are then correlated with chemical data to unveil potential relationships between the distinct descriptions. In a second phase, the multidimensional scaling technique is adopted for data clustering and visualizing. The methodology is illustrated on a set of commercially available wines. The results demonstrate that fractional-order models represent conveniently the impedance of wine, with a reduced number of parameters.Springer VerlagRepositório Científico do Instituto Politécnico do PortoLopes, António M.Machado, J.A.TenreiroRamalho, Elisa20162117-01-01T00:00:00Z2016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/9369eng10.1007/s00217-016-2806-xmetadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:50:44Zoai:recipp.ipp.pt:10400.22/9369Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:29:58.960519Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv On the fractional-order modeling of wine
title On the fractional-order modeling of wine
spellingShingle On the fractional-order modeling of wine
Lopes, António M.
Electrical impedance spectroscopy
Fractional-order models
Multidimensional scaling
Wine
title_short On the fractional-order modeling of wine
title_full On the fractional-order modeling of wine
title_fullStr On the fractional-order modeling of wine
title_full_unstemmed On the fractional-order modeling of wine
title_sort On the fractional-order modeling of wine
author Lopes, António M.
author_facet Lopes, António M.
Machado, J.A.Tenreiro
Ramalho, Elisa
author_role author
author2 Machado, J.A.Tenreiro
Ramalho, Elisa
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Lopes, António M.
Machado, J.A.Tenreiro
Ramalho, Elisa
dc.subject.por.fl_str_mv Electrical impedance spectroscopy
Fractional-order models
Multidimensional scaling
Wine
topic Electrical impedance spectroscopy
Fractional-order models
Multidimensional scaling
Wine
description This paper uses electrical impedance spectroscopy for characterizing different varieties of wine and compares the results with standard chemical analysis. In a first phase, the electrical impedance of wine samples is measured and modeled by means of fractional-order transfer functions. The impedance model parameters are then correlated with chemical data to unveil potential relationships between the distinct descriptions. In a second phase, the multidimensional scaling technique is adopted for data clustering and visualizing. The methodology is illustrated on a set of commercially available wines. The results demonstrate that fractional-order models represent conveniently the impedance of wine, with a reduced number of parameters.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
2117-01-01T00:00:00Z
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dc.publisher.none.fl_str_mv Springer Verlag
publisher.none.fl_str_mv Springer Verlag
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