Efficient extraction of antioxidants from Vernonia cinerea leaves: Comparing response surface methodology and artificial neural network-Reference-Cited by-同舟云学术

Efficient extraction of antioxidants from Vernonia cinerea leaves: Comparing response surface methodology and artificial neural network

Published:2018-09 Issue:3 Volume:7 Page:276-285
ISSN:2314-8535
Container-title:Beni-Suef University Journal of Basic and Applied Sciences
language:en
Short-container-title:Beni-Suef University Journal of Basic and Applied Sciences

Author:

Alara Oluwaseun Ruth^ORCID,Abdurahman Nour Hamid,Afolabi Haruna Kolawole,Olalere Olusegun Abayomi

Publisher

Springer Science and Business Media LLC

Subject

Pharmaceutical Science,Agricultural and Biological Sciences (miscellaneous),Medicine (miscellaneous)

Reference15 articles.

1. Optimization of mangiferin extracted from Phaleria macrocarpa fruits using response surface methodology;Alara;J. Appl. Res. Med. Aromat. Plants,2017

2. Effect of drying methods on the free radicals scavenging activity of Vernonia amygdalina growing in Malaysia;Alara;J. King Saud Univ. Sci.,2017

3. Optimization of microwave-assisted extraction of flavonoids and antioxidants from Vernonia amygdalina leaf using response surface methodology;Alara;Food Bioprod. Process.,2018

4. Optimization of microwave-assisted extraction of total extract, stevioside and rebaudioside-A from Stevia rebaudiana (Bertoni) leaves, using response surface methodology (RSM) and artificial neural network (ANN) modelling;Ameer;Food Chem.,2017

5. Pistacia lentiscus leaves as a source of phenolic compounds: microwave-assisted extraction optimized and compared with ultrasound-assisted and conventional solvent extraction;Dahmoune;Ind. Crops Prod.,2014

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