Application of response surface methodology and artificial neural network to optimize the extraction of saponins and polyphenols from North Atlantic sea cucumber-Reference-Cited by-同舟云学术

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Application of response surface methodology and artificial neural network to optimize the extraction of saponins and polyphenols from North Atlantic sea cucumber

Published:2024-12 Issue: Volume:5 Page:100748
ISSN:2772-753X
Container-title:Food Chemistry Advances
language:en
Short-container-title:Food Chemistry Advances

Author:

Fagbohun Oladapo F.^ORCID,Hui Joseph P.M.,Zhang Junzeng^ORCID,Jiao Guangling,Rupasinghe H.P. Vasantha^ORCID

Publisher

Elsevier BV

Reference38 articles.

1. The anti-cancer effects of frondoside A;Adrian;Marine Drugs,2018

2. Structures of four new triterpene glycosides from the holothurian Cucumaria japonica;Avilov;Chemistry of Natural Compounds,1990

3. Cytotoxic triterpene saponins from Cercodemas anceps;Cuong;Bioorganic & Medicinal Chemistry Letters,2015

4. A new acetylated glycoside from the holothurian Cucumaria japonica;Drozdova;Chemistry of Natural Compounds,1992

5. Cytotoxic triterpene glycosides from Far-Eastern Sea cucumbers belonging to the Genus Cucumaria;Drozdova;Liebigs Annalen,1997

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of an Image Recognition System Based on Neural Networks for the Classification of Plant Species in the Amazon Rainforest, Peru, 2024;LatIA;2024-07-22

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