Optimization of the extraction conditions of Nypa fruticans Wurmb. using response surface methodology and artificial neural network-Reference-Cited by-同舟云学术

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Optimization of the extraction conditions of Nypa fruticans Wurmb. using response surface methodology and artificial neural network

Published:2022-07 Issue: Volume:381 Page:132086
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Choi Hee-Jeong,Naznin Marufa,Alam Md Badrul,Javed Ahsan,Alshammari Fanar Hamad,Kim Sunghwan,Lee Sang-Han

Funder

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference48 articles.

1. Box-Behnken response surface design of polysaccharide extraction from Rhododendron arboreum and the evaluation of its antioxidant potential;Ahmad;Molecules,2020

2. Artificial neural network and response surface methodology for modeling and optimization of activation of lactoperoxidase system;Aklilu;South African Journal of Chemical Engineering,2021

3. Phytochemical Characterization of Dillenia indica L. bark by paper spray ionization-mass spectrometry and evaluation of its antioxidant potential against t-BHP-induced oxidative stress in RAW 264.7 cells;Alam;Antioxidants,2020

4. high resolution mass spectroscopy-based secondary metabolite profiling of Nymphaea nouchali (Burm. f) stem attenuates oxidative stress via regulation of MAPK/Nrf2/HO-1/ROS pathway;Alam;Antioxidants,2021

5. Optimization of microwave-assisted extraction of flavonoids and antioxidants from Vernonia amygdalina leaf using response surface methodology;Alara;Food and Bioproducts Processing,2018

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