Microwave-assisted aqueous extraction of bioactive components from Malabar spinach (Basella alba) leaves and its optimization using ANN-GA and RSM methodology

The paper discusses the effect of microwave assisted aqueous extraction conditions on the recovery and quantification of bioactive compounds of Basella alba leaves. The experiment was carried out using the Box–Behnken design of response surface methodology (RSM) with microwave power (100–300 W), tre...

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Veröffentlicht in:	Journal of food measurement & characterization 2024, Vol.18 (1), p.287-298
Hauptverfasser:	Shende, Ayush Sanjay, Jayasree Joshi, T., Srinivasa Rao, P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Basella alba Bioactive compounds Biological activity Chemistry Chemistry and Materials Science Chemistry/Food Science Engineering Flavonoids Food Food Science Genetic algorithms Independent variables Laboratories Leaves Methods Neural networks Optimization Original Paper Phenolic compounds Phenols Phytochemicals Reagents Response surface methodology Scavenging Solvents Spinach Variables
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