Multi-response optimization of drying process parameters for Laurus Nobilis

Autor: Mohamed Aymen El Cafsi, Ahlem Soltani, Hedi Romdhana, Daniel Goujot, Soufien Azzouz
Přispěvatelé: Laboratoire d’Énergétique et des Transferts Thermiques et Massiques [Tunis] (LETTM), Faculté des Sciences Mathématiques, Physiques et Naturelles de Tunis (FST), Université de Tunis El Manar (UTM)-Université de Tunis El Manar (UTM), Paris-Saclay Food and Bioproduct Engineering (SayFood), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Applied Research on Medicinal and Aromatic Plants
Journal of Applied Research on Medicinal and Aromatic Plants, Elsevier, 2021, 22, pp.100302. ⟨10.1016/j.jarmap.2021.100302⟩
ISSN: 2214-7861
DOI: 10.1016/j.jarmap.2021.100302⟩
Popis: International audience; The Response Surface Methodology (RSM) was used to optimize the air drying of bay leaves (Laurus nobilis). The study focused on different values for the following parameters: temperature, relative humidity and drying air velocity. The responses measured included: leaf quality (color), drying time and mass diffusivity across a leaf. Second-order polynomial equations were used to analyze the effects of drying conditions on these parameters. Optimum drying conditions were identified by minimizing the drying time, the moisture content and variations in color. These optimum conditions were: 59.87 • C, 15.00 % and 1.51 m/s, respectively, for temperature, relative humidity and velocity. These conditions were then validated experimentally.
Databáze: OpenAIRE
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