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首页> 外文期刊>Chemical Engineering Communications >Modeling and optimization of process parameters for supercritical CO2 extraction of Argemone mexicana (L.) seed oil
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Modeling and optimization of process parameters for supercritical CO2 extraction of Argemone mexicana (L.) seed oil

机译:超临界CO2萃取原料墨西哥(L.)种子油的过程参数的建模与优化

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This research article deals with the determination of optimal conditions of extraction parameters (e.g. temperature (60-100 degrees C), pressure (200-350 bar), particle size (0.5-1.0 mm), flow rate-CO2 (5-15 g/min), and the % of co-solvent (0.0-10% of flow rate-CO2) resulting to the optimal cumulative extraction yield during the supercritical fluid extraction of Argemone mexicana (L.) seed oil with and without a modifier (ethanol) using a supercritical carbon dioxide as solvent. A "five-factors-three-levels" Box-Behnken design under the response surface methodology was used to show independent and interactive effects of extraction parameters. A mathematical regression model was expressed properly by a quadratic second-order polynomial equation. The maximum oil yield (42.86%) from A. mexicana seeds was obtained with the optimal conditions (85 degrees C, 305 bar, 0.75 mm, 11 g/min, and 9% of flow rate-CO2) of extraction parameters. The fatty acids analysis of the seed oil was done using gas chromatography and found its suitability as bio-fuel.
机译:本研究制品涉及测定萃取参数的最佳条件(例如温度(60-100℃),压力(200-350巴),粒度(0.5-1.0mm),流速-CO2(5-15克/ min),占共溶剂的百分比(0.0-10%的流速-CO2),导致在超临界墨西哥菌(L.)种子油的超临界流体萃取期间的最佳累积萃取产量,其中没有改性剂(乙醇) )使用超临界二氧化碳作为溶剂。响应表面方法下的“五因素 - 三级”Box-Behnken设计用于表现出提取参数的独立和交互式效果。通过二次,正常表达数学回归模型二阶多项式方程。用最佳条件(85℃,305巴,0.75mm,11g / min,9%的流量-CO2)获得来自A.墨西哥种子的最大油产率(42.86%)提取参数。使用脂肪酸分析气相色谱并发现其适用性作为生物燃料。

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