Modeling and optimization of microwave-assisted extraction of total phenolics content from mango (Mangifera indica) peel using response surface methodology (RSM) and artificial neural networks (ANN)-Reference-Cited by-同舟云学术

Modeling and optimization of microwave-assisted extraction of total phenolics content from mango (Mangifera indica) peel using response surface methodology (RSM) and artificial neural networks (ANN)

Published:2024-06 Issue: Volume:22 Page:101420
ISSN:2590-1575
Container-title:Food Chemistry: X
language:en
Short-container-title:Food Chemistry: X

Author:

Ramírez-Brewer David,Quintana Somaris E.,García-Zapateiro Luis A.

Funder

Universidad Politécnica de Cartagena

Kementerian Sains, Teknologi dan Inovasi

Ministerio de Ciencia, Tecnología e Innovación

Publisher

Elsevier BV

Reference47 articles.

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3. Comparison of estimation capabilities of response surface methodology (RSM) with artificial neural network (ANN) in lipase-catalyzed synthesis of palm-based wax ester;Basri;BMC Biotechnology,2007

4. Microwave-assisted extraction of Eucalyptus robusta leaf for the optimal yield of total phenolic compounds;Bhuyan;Industrial Crops and Products,2015

5. Simultaneous extraction of polysaccharides and polyphenols from blackcurrant fruits: Comparison between response surface methodology and artificial neural networks;Bu;Industrial Crops and Products,2021

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