A hybrid RSM-ANN-GA approach on optimisation of extraction conditions for bioactive component-rich laver (Porphyra dentata) extract-Reference-Cited by-同舟云学术

A hybrid RSM-ANN-GA approach on optimisation of extraction conditions for bioactive component-rich laver (Porphyra dentata) extract

Published:2022-01 Issue: Volume:366 Page:130689
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Aung Thinzar,Kim Seon-Jae,Eun Jong-Bang

Funder

Chonnam National University

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference34 articles.

1. Effects of ultrasound treatments on quality of grapefruit juice;Aadil;Food Chemistry,2013

2. Modeling and optimization of Terminalia catappa L. kernel oil extraction using response surface methodology and artificial neural network;Agu;Artificial Intelligence in Agriculture.,2020

3. Anthocyanin-rich extract of jabuticaba epicarp as a natural colorant: Optimization of heat- and ultrasound-assisted extractions and application in a bakery product;Albuquerque;Food Chemistry,2020

4. Production and characterization of a novel beverage from laver (Porphyra dentata) through fermentation with kombucha consortium;Aung;Food Chemistry,2021

5. Determining phycoerythrin and phycocyanin concentrations in aqueous crude extracts of red algae;Beer;Marine and Freshwater Research,1985

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