Rezazi, S., Hanini, S., Si-Moussa, C., Abdelmalek, S. (2017). Kinetic Modeling and Parameters Identification Based on Metaheuristic Optimization Techniques for Extraction Process of Marrubium vulgare L. Essential Oil. , 19(2), 307-322.
S. Rezazi; S. Hanini; C. Si-Moussa; S. Abdelmalek. "Kinetic Modeling and Parameters Identification Based on Metaheuristic Optimization Techniques for Extraction Process of Marrubium vulgare L. Essential Oil". , 19, 2, 2017, 307-322.
Rezazi, S., Hanini, S., Si-Moussa, C., Abdelmalek, S. (2017). 'Kinetic Modeling and Parameters Identification Based on Metaheuristic Optimization Techniques for Extraction Process of Marrubium vulgare L. Essential Oil', , 19(2), pp. 307-322.
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. , 2017; 19(2): 307-322.

Kinetic Modeling and Parameters Identification Based on Metaheuristic Optimization Techniques for Extraction Process of Marrubium vulgare L. Essential Oil

Journal of Agricultural Science and Technology
Article 4, Volume 19, Issue 2, 2017, Pages 307-322    PDF (598.04 K)
Authors
S. Rezazi* 1; S. Hanini1; C. Si-Moussa1; S. Abdelmalek2
1Laboratory of Biomaterials and Transport Phenomena (LBMTP), Faculty of Science and Technology, University of Medea, Street Ain D'heb, Medea, Algeria
2Hassiba Benbouali University of Chlef, Faculty of Technologies, Department of Electronics, Ouled Fares-Chlef, Algeria.
Abstract
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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