A hybrid artificial neural network and multi-objective genetic algorithm approach to optimize extraction conditions of Mentha longifolia and biological activities - Sevindik, Mustafa; Gürgen, Ayşenur; Krupodorova, Tetiana; Uysal, İmran; Koçer, Oguzhan (Scientific reports, 2024)
Keywords: 631/449; 631/61; 704/172; Acetylcholinesterase; Acids; Algorithms; Antioxidant properties; Antioxidants - chemistry; Antioxidants - pharmacology; Bioactive compounds; Caffeic acid; Catechin; Cholinesterase Inhibitors - isolation & purification; Cholinesterase Inhibitors - pharmacology; Extraction process modeling; Flavonoids; Flavonoids - analysis; Flavonoids - chemistry; Gallic acid; Genetic algorithms; Humanities and Social Sciences; Kaempferol; Mentha - chemistry; Mentha longifolia; Mentha longifolia extraction; Multi-objective optimization; multidisciplinary; Neural networks; Neural Networks, Computer; Oxidants; Oxidative stress; Oxidizing agents; p-Hydroxybenzoic acid; Phenols; Phenols - analysis; Phenols - chemistry; Plant extracts; Plant Extracts - chemistry; Plant Extracts - pharmacology; Quercetin; Science; Science (multidisciplinary); Vanillic acid; Antioxidant properties; Multi-objective optimization; Extraction process modeling; extraction; Bioactive compounds; Mentha longifolia extraction