Optimization of the antioxidant capacity of mangosteen peels (

Antioxidant capacity artificial neural networks optimization problem process management

Journal

Food science and technology international = Ciencia y tecnologia de los alimentos internacional
ISSN: 1532-1738
Titre abrégé: Food Sci Technol Int
Pays: United States
ID NLM: 9889534

Informations de publication

Date de publication:
Jul 2021
Historique:
pubmed: 6 10 2020
medline: 31 8 2021
entrez: 5 10 2020
Statut: ppublish

Résumé

Mangosteen peel is a source of natural phenolic antioxidants. During processing, the quality and quantity of these compounds in the final product are altered. Sometimes, the important causal relationships are not easy to establish and thus process management is difficult. This is especially true when biochemical changes can occur as in the case of the drying and extraction process of bioactive materials. The aim of this work was to formulate and solve an optimization problem in order to obtain the appropriate values of the operating conditions that maximize the antioxidant capacity of the dried mangosteen peel extracts. The drying process was analyzed under different drying air temperatures (T) (50℃, 60℃, 70℃ and 80℃) at air velocity of 1 ms

Identifiants

pubmed: 33016124
doi: 10.1177/1082013220962630
doi:

Substances chimiques

Antioxidants 0
Phenols 0
Plant Extracts 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

404-412

Auteurs

Mónica Leon García (ML)

Universidad de la Salle, Bogotá, Colombia.

María Hernández Carrión (MH)

Grupo de Diseño de Productos y Procesos, Facultad de Ingeniería, Universidad de los Andes, Bogotá, Colombia.

Sebastián Escobar (S)

Centro de Investigación Tibaitatá, Corporación Colombiana de Investigación Agropecuaria - Agrosavia, Mosquera, Colombia.

Aureliano Rodríguez (A)

Universidad del Atlántico, Barranquilla, Colombia.

Jader Rodríguez Cortina (JR)

Centro de Investigación Tibaitatá, Corporación Colombiana de Investigación Agropecuaria - Agrosavia, Mosquera, Colombia.

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Classifications MeSH