A hybrid artificial neural network and multi-objective genetic algorithm approach to optimize extraction conditions of Mentha longifolia and biological activities

Abstract In this work, artificial neural network coupled with multi-objective genetic algorithm (ANN-NSGA-II) has been used to develop a model and optimize the conditions for the extracting of the Mentha longifolia (L.) L. plant. Input parameters were extraction temperature (40–70 °C), extraction ti...

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Bibliographic Details
Published in:Scientific Reports
Main Authors: Mustafa Sevindik, Ayşenur Gürgen, Tetiana Krupodorova, İmran Uysal, Oguzhan Koçer
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Subjects:
Antioxidant properties
Bioactive compounds
Extraction process modeling
Mentha longifolia extraction
Multi-objective optimization
Online Access:https://doi.org/10.1038/s41598-024-83029-8

Internet

https://doi.org/10.1038/s41598-024-83029-8

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