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Evaluation of multicomplex systems on pomegranate concentrate loaded alginate hydrogels by low-field NMR relaxometry: physicochemical characterization and controlled release study.
Cikrikci Erunsal, Sevil.
Afiliación
  • Cikrikci Erunsal S; Department of Food Engineering, Konya Food and Agriculture University, 42080 Konya, Turkey.
J Food Sci Technol ; 60(7): 1960-1969, 2023 Jul.
Article en En | MEDLINE | ID: mdl-37206427
ABSTRACT
Alginate (ALG) and various gums are potential biomaterials to be employed in hydrogel designs for both food and biomedical applications. This study evaluated a multicomplex design by combining food grade polymers to examine their polymer-polymer interactions and design an oral delivery system for pomegranate concentrate (PC). ALG was replaced with gum tragacanth (GT), xanthan (XN) and their equal combinations (GTXN) at 50% ratio in hydrogel fabrication. In addition to CaCI2 in binding solution, honey (H) and chitosan (CH) were also used during physical crosslinking. Relaxation time constants in NMR indicated poor ability of GT for water entrapment especially in the presence of honey (S2H). They also confirmed FTIR results indicating similar trends. Strong negative correlations were observed between T2 and texture results. GT replacement of ALG especially in the use of single CaCI2 (S2) promoted higher PC release up to 80% in digestive media compared to XN substitution (S3). This study promoted use of LF NMR as an indicator for polymer mixture characterization in complex gels. ALG based gels could be modified by replacing ALG with different kinds of gums and with use of different binding solutions to regulate target compound release in food and pharmaceutical fields. Supplementary Information The online version contains supplementary material available at 10.1007/s13197-023-05730-2.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Food Sci Technol Año: 2023 Tipo del documento: Article País de afiliación: Turquía

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Food Sci Technol Año: 2023 Tipo del documento: Article País de afiliación: Turquía