多元线性回归模型在死端微滤比阻中的应用

在自制的死端微滤杯上,采用0.2μm的聚醚砜(PES)平板微滤膜,研究了死端微滤酵母悬浮液滤饼比阻随操作条件(操作压力、料液浓度和温度)的变化规律,并使用多元线性回归模型定量探讨了各操作条件对比阻的影响程度,研究结果表明,操作压力、料液浓度和温度都是影响比阻的因素,其中操作压力是显著影响因素,料液浓度和温度是一般影响因素,它们对比阻的影响程度大小依次为75.31%、12.89%、11.8%;比阻随操作压力增加而增加,随温度的增加而减小,随料液浓度的变化呈现先增加后减小的趋势;操作压力、料液浓度和温度与比阻之间的多元线性回归方程的计算值与实验测定值之间的平均相对误差仅为5.16%,从而为恒压死端微滤操作条件的优化提供理论依据。

Application of Linear Multi-regression Model for Specific Resistance Study in the Dead-end Microfiltration

The influence of the different operating conditions(the trans-membrane pressure,feed concentration and temperature) on dead-end MF specific resistance of yeast suspensions was studied by using a self-making microfiltration cup in which the PES flat membrane with 0.2μm average pore size was put.In addition,a linear multi-regression model was used to study the degree of the influence of these operating conditions on dead-end MF specific resistance of yeast suspensions.The results showed that,the trans-menbrone pressure, feed concentration and temperature are all influence factors of dead-end MF specific resistance,and the operating pressure is a remarkable factor,both the feed concentration and temperature are common influence factors;the influence degrees of the trans-membrane pressure,feed concentration and temperature are 75.31%,12.89%,11.8%,respectively;the specific resistance increases as the increasing trans-membrane pressure,increases with the increasing feed concentration first and then it decreases as concentration increases, whereas decreases as temperature increase;a relationship between specific resistance and the trans-membrane pressure,feed concentration and temperature is described by the linear multi-regression model.The average error between experimental value and model value is less than 5.16%.These will provide basis for process optimization in dead-end microfiltration.