响应面法优化重金属絮凝剂MAMPAM除Cu(Ⅱ)的絮凝条件  被引量:8

Response Surface Methodology to Optimize Flocculation Conditions of Heavy Metal Flocculant MAMPAM for Removing Cu(Ⅱ)

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作  者:杨丽娟 王刚[1] 张航 蒋煜峰[1] 杨凯 YANG Lijuan;WANG Gang;ZHANG Hang;JIANG Yufeng;YANG Kai(College of Environmental and Municipal Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)

机构地区:[1]兰州交通大学环境与市政工程学院,甘肃兰州730070

出  处:《环境科学研究》2022年第3期789-795,共7页Research of Environmental Sciences

基  金:国家自然科学基金项目(No.51368030);兰州交通大学天佑创新团队项目(No.TY202005)。

摘  要:以聚丙烯酰胺(PAM)和巯基乙酸(TGA)为主要原料,经羟甲基化反应和酰胺化反应将巯基接枝到PAM分子链上,制备出具有重金属螯合能力的絮凝剂巯基乙酰化羟甲基聚丙烯酰胺(MAMPAM).以含Cu(Ⅱ)水样为考察对象,采用响应面法中的CCD试验对MAMPAM除Cu(Ⅱ)的絮凝条件进行优化.结果表明:①试验值与响应值的点基本呈线性,决定系数R2值为0.9154,残差服从正态分布,说明模型的合理性和拟合性均较好;模型的F值为12.75,P值为0.0002(<0.001),表明模型非常显著.②水样初始pH(X_(1))、Cu(Ⅱ)初始浓度(X_(2))、MAMPAM投加量/Cu(Ⅱ)初始浓度(X_(3))的P值分别为0.0034、0.0732、0.0005,说明X_(1)、X_(3)为显著影响因素,X_(2)为不显著影响因素.通过响应面分析,X_(1)X_(3)、X_(2)X_(3)之间的交互作用显著,X_(1)X_(2)之间的交互作用不显著.③通过模型验证得到最佳絮凝条件为软件推荐的絮凝条件,即水样初始pH为5.8、Cu(Ⅱ)初始浓度为65.6 mg/L、MAMPAM投加量与Cu(Ⅱ)初始浓度的比值为3.7∶1,在此条件下试验测得的Cu(Ⅱ)去除率为95.05%,模型预测的Cu(Ⅱ)去除率为98.52%,相对偏差为−3.52%.研究显示,利用响应面法优化MAMPAM除Cu(Ⅱ)的絮凝条件可行.A mercaptoacetyl hydroxymethy-polyacrylamide(MAMPAM)flocculant with the ability to chelate heavy metal ions was prepared using polyacrylamide(PAM)and mercaptoacetyl acid(TGA)as main raw materials.The central composite design(CCD)of response surface methodology(RSM)was used to study the optimal flocculation conditions of Cu(Ⅱ)in water samples with MAMPAM.The results showed that:(1)The experimental values and response values were basically linear.The determination coefficient(R2)was 0.9154,and the residual error obeyed the normal distribution,indicating that the rationality and fitting of model were well.The F value and P value of the model were 12.75 and 0.0002(<0.001),respectively,indicating that the model was highly significant.(2)The P values of the initial pH value(X_(1)),the initial Cu(Ⅱ)concentration(X_(2))and the ratio of the dosage of MAMPAM to the initial Cu(Ⅱ)concentration(X_(3))were 0.0034,0.0732,and 0.0005,respectively,indicating that the X_(1) and X_(3) were significant influential factors,but the X_(2) was not a significant factor.Through response surface analysis,the interactions of X_(1)X_(3) and X_(2)X_(3) were significant,but the interaction of X_(1)X_(2) was not significant.(3)The optimal flocculation conditions were recommended by employing the software,and the conditions were as follows:the initial pH value of water sample was 5.8,the initial concentration of Cu(Ⅱ)was 65.6 mg/L,and the ratio of the MAMPAM dosage to the initial concentration of Cu(Ⅱ)was 3.7∶1.Under these flocculation conditions,the experimental value of the removal rate of Cu(Ⅱ)was 95.05%,and the predicted value of the removal rate of Cu(Ⅱ)was 98.52%.The relative deviation was−3.52%.The results show that RSM can be used to optimize the flocculation conditions of Cu(Ⅱ)treated with MAMPAM.

关 键 词:响应面法 絮凝 含铜水样 优化 

分 类 号:X703[环境科学与工程—环境工程]

 

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