Multi-response optimization of drying process parameters for Laurus Nobilis

被引：6

作者：

Soltani, Ahlem ^{[1
]}

Azzouz, Soufien ^{[1
]}

Romdhana, Hedi ^{[2
]}

Goujot, Daniel ^{[2
]}

El Cafsi, Mohamed A. ^{[1
]}

机构：

[1] Univ Tunis El Manar, Fac Sci Tunis, Lab Energy Heat & Mass Transfer LETTM, Tunis 2092, Tunisia

[2] Univ Paris Saclay, INRAE, UMR SayFood, AgroParisTech, F-91300 Massy, France

来源：

JOURNAL OF APPLIED RESEARCH ON MEDICINAL AND AROMATIC PLANTS | 2021年 / 22卷

关键词：

Convective drying; Total color difference; Effective moisture diffusivity; Optimization; Bay leaves;

D O I：

10.1016/j.jarmap.2021.100302

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

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 degrees C, 15.00 % and 1.51 m/s, respectively, for temperature, relative humidity and velocity. These conditions were then validated experimentally.

引用

页数：13

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