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Improvement of emulsifying stability of coconut globulin by noncovalent interactions with coffee polyphenols.
Chen, Yile; Chen, Yang; Jiang, Lianzhou; Huang, Zhaoxian; Zhang, Weimin; Yun, Yonghuan.
Afiliação
  • Chen Y; School of Food Science and Engineering, Hainan University, Haikou 570228, China.
  • Chen Y; School of Food Science and Engineering, Hainan University, Haikou 570228, China.
  • Jiang L; School of Food Science and Engineering, Hainan University, Haikou 570228, China.
  • Huang Z; College of Food Science, Northeast Agricultural University, Harbin, Heilongjiang 150030, China.
  • Zhang W; School of Food Science and Engineering, Hainan University, Haikou 570228, China.
  • Yun Y; School of Food Science and Engineering, Hainan University, Haikou 570228, China.
Food Chem X ; 20: 100954, 2023 Dec 30.
Article em En | MEDLINE | ID: mdl-38144812
ABSTRACT
Coconut milk is an unstable emulsion system, mainly stabilized by proteins, which limits the development of the food industry. The aim of this study was to investigate mechanisms for increasing emulsion stability through the interaction between coffee polyphenols (CPs) and coconut globulin (CG), the main protein in coconut milk. Caffeic acid (CA), chlorogenic acid (CHA), and ferulic acid (FA) were selected as CP models. The results showed that hydrogen bond interactions mainly occurred between CG and CPs (CG-FA < CG-CA < CG-CHA). CHA containing quinic acid preferentially formed a strong interaction with CG. The interaction changed the lipophilicity of CG and facilitated the formation of a dense and thick interfacial film at the oil-water interface. Furthermore, the emulsion stabilized by CG-CPs showed excellent stability after storage, centrifugation, pH, and salt treatment, especially CG-CHA. This study could provide a theoretical basis for improving the stability of coconut milk products.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article