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Multi-response optimization of drying process parameters for Laurus Nobilis
Journal of Applied Research on Medicinal and Aromatic Plants ( IF 3.9 ) Pub Date : 2021-03-04 , DOI: 10.1016/j.jarmap.2021.100302
Ahlem Soltani , Soufien Azzouz , Hédi Romdhana , Daniel Goujot , Mohamed A. El cafsi

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.



中文翻译:

月桂叶干燥工艺参数的多响应优化

响应表面方法学(RSM)用于优化月桂叶(Laurus nobilis)的空气干燥。该研究集中于以下参数的不同值:温度,相对湿度和干燥空气速度。测得的响应包括:叶片质量(颜色),干燥时间和整个叶片的质量扩散率。使用二阶多项式方程式分析干燥条件对这些参数的影响。通过最小化干燥时间,水分含量和颜色变化来确定最佳干燥条件。这些最佳条件分别为:温度,相对湿度和速度分别为59.87°C,15.00%和1.51 m / s。然后通过实验验证了这些条件。

更新日期:2021-03-26
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