Volume 19, Issue 2 (2017)                   JAST 2017, 19(2): 307-322 | Back to browse issues page

‎ 20.1001.1.16807073.2017.19.2.14.1

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Rezazi S, Hanini S, Si-Moussa C, Abdelmalek S. Kinetic Modeling and Parameters Identification Based on Metaheuristic Optimization Techniques for Extraction Process of Marrubium vulgare L. Essential Oil. JAST 2017; 19 (2) :307-322
URL: http://jast.modares.ac.ir/article-23-8454-en.html
Kinetic Modeling and Parameters Identification Based on Metaheuristic Optimization Techniques for Extraction Process of Marrubium vulgare L. Essential Oil
S. Rezazi * 1, S. Hanini1 , C. Si-Moussa1 , S. Abdelmalek2
1- Laboratory of Biomaterials and Transport Phenomena (LBMTP), Faculty of Science and Technology, University of Medea, Street Ain D'heb, Medea, Algeria
2- Hassiba Benbouali University of Chlef, Faculty of Technologies, Department of Electronics, Ouled Fares-Chlef, Algeria.
Abstract:   (8776 Views)
Recently, increasing attention has been directed to the isolation of natural active components from various medicinal plants. In the present research, the extraction of essential oil from horehound (M. vulgare L.) is presented. Effects of mass ratio and particle size on the process performance were studied and kinetics were determined. The chemical composition of the volatiles present in M. vulgare L. was evaluated for the sample extracted in the optimum conditions (mass ratio, 3 kg/m3 and particle size,0.1
Keywords: Genetic Algorithm, Grinding effect, Parameter identification, Particle swarm optimization Mass ratio effect
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Received: 2015/12/1 | Accepted: 2016/09/25 | Published: 2017/03/1
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