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纳滤去除水中中性药物的预测模型

作者：吴芳，封莉，张立秋

单位：北京林业大学北京市水体污染源控制技术重点实验室，北京 100083

关键词：纳滤；安替比林；薄膜理论；溶解-扩散模型；预测模型

DOI号：

分类号： X52

出版年,卷(期):页码： 2016,36(4):97-102

摘要：

纳滤是去除饮用水中微量药物污染物的一种有效方法。本文选择中性药物安替比林（ANT）为研究对象，考察了利用溶解-扩散模型和薄膜理论相结合的方法来预测一种常用的纳滤膜NF-X对ANT的去除效果。模型建立过程中，首先在不同初始浓度和压力条件下进行实验，测得通量和去除率。试验结果表明，在温度一定的条件下，渗透通量与操作压力线性相关，而和初始浓度无关。根据已有的试验数据得到模型中的未知参数k和DK/δ。，通过最优拟合的方法确定传质系数k与ANT初始浓度Co关系为k=αCoβ，而DK/δ与Co无关，由此得到在不同操作压力和初始浓度条件下ANT去除率的预测模型(25?C, pH=7)。最后,通过选取其它初始浓度和压力对模型进行验证，实验值和预测值相对误差小于10%，预测效果较好。

Nanofiltration is an effective method to remove trace drug pollutants in water. In this paper, a netural drug antipyrine (ANT) was chosen to evaluate the prediction results with film theory and solution-diffusion mode by NF-X. Firstly, the permeate flux and rejection were obtained at different pressure and feed concentrations. The results indicated that the permeate flux and pressure were linearly related at a certain temperature and it was independent on the feed concentration. Then the unknown parameters k and DK/δ in the model were determined by the experimental data and the mass transfer coefficient k could be calculated by the feed concentration (k=αCoβ) through the best-fit method, while DK/δ was nearly constant. Thus the prediction model was established under different pressure and feed concentration conditions (25?C, pH=7). Finally, the rejections of ANT at other concentrations and pressures were predicted with relative error less than 10%, indicating that the prediction results were satisfactory.

基金项目：

国家水体污染控制与治理科技重大专项(2013ZX07201007-003-01)、北京市自然科学基金项目（8152022）、国家自然科学基金项目（No.51178046）

作者简介：

作者简介：吴芳（1989.01.12），女，河北保定人，硕士研究生，E-mail: wfbd112@163.com。研究方向为纳滤去除水中中性药物污染物影响因素及预测模型研究。

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