Genetic algorithm optimization of supercritical fluid extraction of nimbin from neem seeds

The subject of this study is to optimize supercritical extraction of nimbin from neem seeds using a Genetic Algorithm (GA) technique. In order to investigate the effect of parameters on nimbin extraction yield, a partial differential equation model based on mass conservation was developed and solved...

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Veröffentlicht in:	Journal of food engineering Jg. 97; H. 2; S. 127 - 134
Hauptverfasser:	Zahedi, G., Elkamel, A., Lohi, A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.03.2010 [New York, NY]: Elsevier Science Pub. Co Elsevier
Schlagworte:	algorithms Azadirachta indica Biological and medical sciences carbon dioxide chemical constituents of plants diffusion diffusivity dynamic programming flow resistance Food engineering Food industries Fundamental and applied biological sciences. Psychology General aspects Genetic algorithm mass transfer medicinal plants Modeling Neem extraction neem oil neem seed extract Optimization quantitative analysis seeds Supercritical extraction supercritical fluid extraction Supercritical extraction Neem extraction Genetic algorithm Modeling Optimization Seeds Supercritical fluid extraction
ISSN:	0260-8774, 1873-5770
Online-Zugang:	Volltext
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