根据制药废液酯-醇混合液的特征建立分离流程，利用响应面法对分离流程中T0101工艺参数进行全局优化。以理论板数、进料位置、溶剂进料位置、回流比、溶剂比为自变量，以回收酯的质量分数为响应值，采用Box-Benhnken中心组合设计建立二阶回归模型并进行响应面优化分析。结果表明，最优工艺参数下响应值为99.55%，与模型预测值偏差为0.29%，表明回归模型是可靠、有效的，显著性检验结果表明，影响响应值的主次顺序为溶剂比 > 溶剂进料位置 > 原料进料位置 > 回流比 > 理论板数。

A separation process is established based on characteristics of ester-alcohol mixture from pharmaceutical waste liquid,and the parameters (T0101) of the separation process are optimized by the response surface methodology.The number of theoretical plate,the feeding position,the solvent feeding position,the reflux ratio,and the solvent ratio are selected as variables,and the mass fraction of the recovered ester as response value,a second-order regression model is designed and established by means of Box-Benhnken central combination and the response surface optimization analysis is carried out.The results show that the response value is 99.55% under the optimal process parameters,which has a 0.29% deviation from the model prediction value,indicating that the regression model is reliable and effective.The significance test results show that the order of influencing response value is solvent ratio > solvent feed position> raw material feed position > reflux ratio > theoretical plate number.

王犇(1985-),女,硕士,讲师,研究方向为化工产品开发与合成