Optimization of Supercritical CO2 Extraction Process to Improve the Quality of Patchouli Oil by Response Surface Methodology Approach

被引:3
|
作者
Utomo, Edi Priyo [1 ]
Marina [2 ]
Warsito [1 ]
Agustian, Egi [3 ]
机构
[1] Brawijaya Univ, Fac Math & Nat Sci, Dept Chem, Malang 65145, Indonesia
[2] Brawijaya Univ, Fac Agr Technol, Dept Agroind Technol, Malang 65145, Indonesia
[3] Indonesian Inst Sci, Res Ctr Chem, Kawasan PUSPIPTEK, South Tangerang 15314, Banten, Indonesia
关键词
supercritical CO2; patchouli oil; Response Surface Methods (RSM);
D O I
10.22146/ijc.26605
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Until now, the patchouli oil is the most substantial commodity export of essential oil for Indonesia. But the price of patchouli oil is often unstable due to the quality of oil which fluctuates depending on the components. To improve the performance and quality of patchouli oil had been carried out the purification process using supercritical CO2 fluid extraction method. Optimization conditions of the extraction process were calculated using the approach of Response Surface Methodology (RSM) including the influence of independent variables such as temperature (35-45 degrees C), pressure (80-150 atm) and the time of extraction (60-300 min). The optimum condition was attained by using a Box-Behnken Design (BBD). Analysis of the components in the extract was carried out by using GC-MS and GC-FID to detect the changes of compositions of the oil components before and after the extraction process. The optimum condition of supercritical extraction within experimental range of the studied variables was at 38 degrees C, 146.35 atm and 74 min for predicted oil yield of 6.41% and at 41.45 degrees C, 135.17 atm and 252.62 min and the predicted patchouli alcohol content was 25.34%. The extracted oil is enriched with the main components such as patchouli alcohol compared to the original patchouli oil. The results of RSM evaluation showed consistency between the variables contained in the experiment and the prediction.
引用
收藏
页码:235 / 241
页数:7
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