摘要
采用水热合成法制备MIL-101(Fe)和MIL-101-NH_(2)(Fe)用于吸附水中的四环素试验,并借助响应面法和SPSS对两种MOFs材料吸附四环素过程中的影响因素进行设计优化。以平衡吸附量为指标,吸附剂用量、初始浓度和温度为影响因素构建模型,探究各因素对吸附效果影响的显著性,将理论计算与实际试验结果相结合,确定最佳吸附工艺参数。结果表明:吸附剂用量、初始浓度对吸附效果均有显著影响,而温度对吸附效果影响较弱;最优吸附条件为吸附剂用量5 mg、初始浓度100 mg/L和温度45℃,此时,MIL-101(Fe)和MIL-101-NH_(2)(Fe)对TC的平衡吸附量分别可达792 mg/g和876 mg/g。研究结果表明响应面法和SPSS对MOF材料吸附水体中新兴污染物工艺优化是可行的。
MIL-101(Fe)and MIL-101-NH_(2)(Fe)was prepared by hydrothermal synthesis for tetracycline(TC)adsorption in water bodies.And response surface methodology(RSM)and SPSS analysis were employed to design and optimize the influencing factors in the process of TC adsorption by the two MOFs materials.With the equilibrium adsorption amount was used as the index,and the amount of adsorbent,initial concentration and temperature as influencing factors to establish model.The theoretical calculation and the actual test results were combined to explore the conspicuousness of the influence of various factors on the adsorption effect.The results presented that both the dosage of MOFs and the initial concentration of TC had significant effects on the adsorption effect,but the temperature had a less significant influence on the adsorption effect.And,the optimal adsorption conditions were adsorbent dosage of 5 mg,initial concentration of 100 mg/L,and temperature of 45°Ϲ,under which the equilibrium adsorption capacity of TC by MIL-101(Fe)and MIL-101-NH_(2)(Fe)can reach 792 mg/g and 876 mg/g,respectively.The results demonstrated that RSM and SPSS are feasible to optimize the adsorption of emerging contaminates using MOF in water bodies.
作者
李梦华
张璐
孙晓玲
王小濛
王群
马准
LI Menghua;ZHANG Lu;SUN Xiaoling;WANG Xiaomeng;WANG Qun;MA Zhun(College of Chemical and Biological Engineering,Shandong University of Science and Technology,266590;Sinounison Technology(Qingdao)Co.,Ltd,266071:Qingdao,China)
出处
《水处理技术》
CAS
CSCD
北大核心
2021年第12期50-55,共6页
Technology of Water Treatment
基金
山东省自然科学基金面上项目(ZR2020MB118)
山东省自然科学基金青年项目(ZR2020QB175)。
关键词
金属有机框架材料
四环素
响应面优化
SPSS分析
吸附
metal-organic frameworks
tetracycline
response surface optimization
SPSS analysis
adsorption
