Encapsulation of bioactive compounds extracted from Cucurbita moschata pumpkin waste: the multi-objective optimisation study.
J Microencapsul
; 39(4): 380-393, 2022 Jun.
Article
en En
| MEDLINE
| ID: mdl-35748817
ABSTRACT
AIM:
Artificial neural network (ANN) development to find optimal carriers (pea protein-P, maltodextrin-M, and inulin-I) mixture for encapsulation of pumpkin waste bioactive (ß-carotene and phenolics).METHODS:
Freeze-drying encapsulation and encapsulates characterisation in terms of bioactive contents and encapsulation efficiencies, water activity, hygroscopicity, densities, flowability, cohesiveness, particle size (laser diffraction), solubility, colour (CIELab), morphological (SEM), stability and release properties.RESULTS:
Optimal encapsulates, OE-T (with highest total bioactive contents; P, M, and I of 53.9, 46.1, and 0%w/w) and OE-EE (with highest bioactive encapsulation efficiencies; P, M, and I of 45.5, 32.0, and 22.5%w/w) had particle diameters of 94.561 ± 1.341 µm and 90.206 ± 0.571 µm, the span of 1.777 ± 0.094 and 1.588 ± 0.089, highest release at pH 7.4 of phenolics of 71.03%w/w after 72 h and 66.22%w/w after 48 h, and ß-carotene of 43.67%w/w after 8 h and 48.62%w/w after 6 h, respectively.CONCLUSION:
ANN model for prediction of encapsulates' preparation, showed good anticipation properties (with gained determination coefficients of 1.000).Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Cucurbita
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
J Microencapsul
Asunto de la revista:
FARMACIA
Año:
2022
Tipo del documento:
Article