Influence of extraction techniques on biologically enriched raw soursop fruit and comparative evaluation by response surface methodology and artificial neural network-Reference-Cited by-同舟云学术

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Influence of extraction techniques on biologically enriched raw soursop fruit and comparative evaluation by response surface methodology and artificial neural network

Published:2024-05 Issue: Volume:2 Page:100216
ISSN:2949-8244
Container-title:Food and Humanity
language:en
Short-container-title:Food and Humanity

Author:

Mahesh Jadhav Snehal,S Saranya,R Balakrishnaraja,Kamble Dinkar B.

Publisher

Elsevier BV

Reference29 articles.

1. Phytochemicals and antioxidant activity of different parts of bambangan (Mangiferapajang) and tarap (Artocarpusodoratissimus);Abu Bakar;Journal of Food Chemistry,2009

2. Acetogenins from Annonaceae family. Their potential biologicalapplications;Adriana;Phytochemistry,2020

3. Profiling of secondary metabolites of optimized ripe ajwa date pulp (Phoenix dactylifera l.) using response surface methodology and artificial neural network;Alshammari;Pharmaceuticals,2023

4. LC-MS/MS screening and identification of bioactive compounds in leaves, pulp and seed from Eugenia calycinaCambess;Araujo;Food Research International,2020

5. Targeted and non-targeted analysis of annonaceous alkaloids and acetogenins from Asiminaand Annonaspecies using UHPLC-QToF-MS;Bharathi;Journal of Pharmaceutical and Biomedical Analysis,2018

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. Effect of ANN and semi-empirical models on dried Annona muricata leaves;Biomass Conversion and Biorefinery;2024-04-06

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