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New strategy for determination of anthocyanins, polyphenols and antioxidant capacity of Brassica oleracea liquid extract using infrared spectroscopies and multivariate regression.
de Oliveira, Isadora R N; Roque, Jussara V; Maia, Mariza P; Stringheta, Paulo C; Teófilo, Reinaldo F.
Afiliação
  • de Oliveira IRN; Department of Food Technology, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil; Institute of Agricultural Sciences, Universidade Federal de Viçosa, 38810-000 Rio Paranaíba, MG, Brazil.
  • Roque JV; Department of Chemistry, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil.
  • Maia MP; Department of Food Technology, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil.
  • Stringheta PC; Department of Food Technology, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil.
  • Teófilo RF; Department of Chemistry, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil. Electronic address: rteofilo@ufv.br.
Spectrochim Acta A Mol Biomol Spectrosc ; 194: 172-180, 2018 Apr 05.
Article em En | MEDLINE | ID: mdl-29331819
A new method was developed to determine the antioxidant properties of red cabbage extract (Brassica oleracea) by mid (MID) and near (NIR) infrared spectroscopies and partial least squares (PLS) regression. A 70% (v/v) ethanolic extract of red cabbage was concentrated to 9° Brix and further diluted (12 to 100%) in water. The dilutions were used as external standards for the building of PLS models. For the first time, this strategy was applied for building multivariate regression models. Reference analyses and spectral data were obtained from diluted extracts. The determinate properties were total and monomeric anthocyanins, total polyphenols and antioxidant capacity by ABTS (2,2-azino-bis(3-ethyl-benzothiazoline-6-sulfonate)) and DPPH (2,2-diphenyl-1-picrylhydrazyl) methods. Ordered predictors selection (OPS) and genetic algorithm (GA) were used for feature selection before PLS regression (PLS-1). In addition, a PLS-2 regression was applied to all properties simultaneously. PLS-1 models provided more predictive models than did PLS-2 regression. PLS-OPS and PLS-GA models presented excellent prediction results with a correlation coefficient higher than 0.98. However, the best models were obtained using PLS and variable selection with the OPS algorithm and the models based on NIR spectra were considered more predictive for all properties. Then, these models provided a simple, rapid and accurate method for determination of red cabbage extract antioxidant properties and its suitability for use in the food industry.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrofotometria Infravermelho / Brassica / Extratos Vegetais / Polifenóis / Extração Líquido-Líquido / Antocianinas / Antioxidantes Tipo de estudo: Prognostic_studies Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrofotometria Infravermelho / Brassica / Extratos Vegetais / Polifenóis / Extração Líquido-Líquido / Antocianinas / Antioxidantes Tipo de estudo: Prognostic_studies Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido