响应面法优化亚临界水提取槟榔籽中槟榔碱的 工艺研究

Optimization of subcritical water extraction process of arecoline from areca seeds by response surface methodology

中文关键词:  槟榔籽  槟榔碱  亚临界水提取  响应面

英文关键词:areca seeds  arecoline  subcritical water extraction  response surface methodology

中文摘要:

      目的 利用响应面试验优化亚临界水提取槟榔籽中槟榔碱的工艺。方法 在单因素实验的基础上, 利用单因素试验结合Box-Benhnken实验和响应面分析法, 研究提取温度、提取时间以及液料比3个因子对槟榔籽槟榔碱提取率的影响, 通过回归分析模拟得到二次多项式回归方程的预测模型。结果 亚临界水提取槟榔籽中槟榔碱的最佳工艺条件为提取温度144 ℃, 提取时间43 min, 液料比35:1(mL/g)。由模型预测提取率为4.23 mg/g, 验证实验结果为4.25 mg/g, 误差仅为0.47%, 与预测值较接近, 表明模型具有较好预测性。且各因子对提取率的影响大小依次是提取温度>提取时间>液料比。结论 亚临界水提取可以作为一种有效的槟榔籽中槟榔碱提取方法。

英文摘要:

      Objective To investigate the optimization of subcritical water extraction process of arecoline from areca seed (AAS) by response surface methodology. Methods The single-factor tests and response surface methodology were used to investigate the effect of three parameters (extraction temperature, extraction time and liquid-solid ratio) on the yield of AAS. A second- order polynomial regression model was established using a Box-Behnken experimental design. Results The optimum process conditions were as follows: extraction time of 43 min, extraction temperature of 143 ℃, liquid-to-solid ratio of 35: 1(mL/g), and the extraction rate of AAS was up to 4.25 mg/g, which was highly consistent with the predictive value of 4.23 mg/g, with the fractional error of 0.47%. It showed that the established regression equation for arecoline yield exhibited an excellent goodness of fit, and the orders of factors influencing the extraction of AAS were as follows: extraction temperature>extraction time>liquid-to-solid ratio. Conclusion Subcritical water extraction can be applied for the extraction of AAS.