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A colorimetric sensor array based on natural pigments for the discrimination of saccharides.
Yan, Shujun; Li, Jiao; Zhang, Ling; Bai, Juan; Lei, Lulu; Huang, Hui; Li, Yongxin.
Afiliação
  • Yan S; College of Food Science and Engineering, Jilin University, Changchun, China.
  • Li J; College of Food Science and Engineering, Jilin University, Changchun, China.
  • Zhang L; College of Food Science and Engineering, Jilin University, Changchun, China.
  • Bai J; College of Food Science and Engineering, Jilin University, Changchun, China.
  • Lei L; College of Food Science and Engineering, Jilin University, Changchun, China.
  • Huang H; College of Food Science and Engineering, Jilin University, Changchun, China.
  • Li Y; College of New Energy and Environment, Jilin University, Changchun, China.
Luminescence ; 35(6): 960-968, 2020 Sep.
Article em En | MEDLINE | ID: mdl-32350992
A colorimetric sensor array based on natural pigments was developed to discriminate between various saccharides. Anthocyanins, pH-sensitive natural pigments, were extracted from fruits and flowers and used as components of the sensor array. Variation in pH, due to the reaction between saccharides and boronic acids, caused obvious colour changes in the natural pigments. Only by observing the difference map with the naked eye could 11 common saccharides be divided into independent individuals. In conjunction with pattern recognition, the sensor array clearly differentiated between sugar and sugar alcohol with highly accuracy and allowed rapid quantification of different concentrations of maltitol and fructose. This sensor array for saccharides is expected to become a promising alternative tool for food monitoring. The link between anthocyanin and saccharide detection opened a new guiding direction for the application of anthocyanins in foods.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Colorimetria / Antocianinas Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Colorimetria / Antocianinas Idioma: En Ano de publicação: 2020 Tipo de documento: Article