响应面法优化超临界萃取槟榔碱工艺

Response surface optimization of supercritical extraction process of Arecoline

采用微波预处理-超临界CO2流体萃取槟榔中的槟榔碱,以槟榔碱得率为考察指标,用高效液相色谱法测定其含量,在单因素实验的基础上,对3个主要因素利用响应面法(RSM)分析得到二次多项式回归方程的预测模型。结果表明:微波预处理能明显提高槟榔碱得率,最佳工艺条件为萃取压力33MPa、萃取温度63℃、微波功率480W,在此条件下槟榔碱得率为(0.448±0.007)%(n=3),与理论值0.452%相差不显著。

Arecoline was obtained with the methods of microwave pretreatment- supercritical CO2 fluid extraction from areca nut. The content of the arecoline which was used as evaluating criteria, was determined by HPLC. Based on the results of single factor experiments, using response surface methodology（RSM） to fit a quadratic polynomial regression model as a response to three independent variables which had significant effects on the arecoline yield. Results showed that the yield of arecoline under microwave pretreatment could improve obviously, the optimal values of technological parameters was as follows： the extraction pressure was 33 MPa; the extraction temperature was 63 ℃; the microwave power was 480 W. Under such conditions, the yield of arecoline was up to （0.448±0.007）% （n=3）, which was very close to the predicted value of 0.452%.