响应面法优化槟榔核多酚提取工艺

摘要

One-factor-at-a-time method(OFAT)and response surface methodology(RSM)were adopted to study the effects of acetone concentration, temperature, time and solid/liquid ratio on the extraction yield of polyphenol from areca nut kernel. The polyphenol content in the extract was used as the response value to optimize the parameters by establishing multiple regression models.The results indicated that solid/liquid ratio and temperature had a great influence on the response value, while the acetone concentration and time of extraction had less influence on the response value.When the extraction was carried out using 50 % acetone as the extractant at a solid/liquid ratio of 1 : 38(g/mL)under the condition of 68 ℃ to extract 48 min, the maximum value of polyphenol of 40.43 % was obtained,which was close to the model-predictive value.The results indicated that the developed model had good regression performance and fitness and could be forecasted in the extraction test of areca polyphenol.%在单因素试验的基础上,采用响应面试验研究丙酮体积分数、提取温度、提取时间和料液比对槟榔核多酚提取情况的影响.本试验以提取液中的多酚含量为响应值,通过建立多元回归模型,优化提取工艺参数.结果表明,料液比和提取温度对响应值的影响大,丙酮体积分数和提取时间对响应值的影响相对较小.在丙酮体积分数50 %、浸提温度68℃、提取时间48 min、料液比1:38(g/mL),在此条件下,多酚得率达到最大值40.43 %,与理论预测值基本一致,说明该模型回归性良好,试验的拟合程度高,可对槟榔核多酚的提取进行预测.