TA对基于DA/PEI的PVDF复合疏松纳滤膜的结构与性能影响的研究
Study on the effect of TA on the structure and properties of DA/PEI-based PVDF composite loose nanofiltration membranes
张琪 1陈淑怡 1张晨 1蒋淑红 2陈红 1王军1
作者信息
- 1. 东华大学环境科学与工程学院,上海 201620
- 2. 上海城市水资源开发利用国家工程中心有限公司,上海 200000
- 折叠
摘要
为了对染料废水中染料和盐进行有效地分离与回收,以聚偏氟乙烯(PVDF)超滤膜为基膜,以多巴胺(DA)、单宁酸(TA)及聚乙烯亚胺(PEI)为共沉积物,以均苯三甲酰氯(TMC)为有机相,采用界面聚合法制备了PVDF复合疏松纳滤膜,探讨了DA与TA及PEI与TA的质量浓度比对PVDF复合疏松纳滤膜结构与性能及处理模拟RB5 染料废水效果的影响.结果表明,当ρ(DA)/ρ(TA)与ρ(PEI)/ρ(TA)分别为 2/8 和 4/6 时,膜性能最佳,此时纯水通量较不添加 TA 时分别提高 36%和114%;模拟RB5 染料废水通量较不添加TA时分别提高37%和87%;染料截留率分别为 95.5%、95.4%,盐(NaCl)的截留率分别为 3.95%、3.15%.PVDF复合疏松纳滤膜在处理模拟RB5 染料废水中运行稳定性良好.
Abstract
In order to effectively separate and recover dyes and salts from dye-containing wastewater,PVDF composite loose nanofiltration membrane is prepared via interfacial polymerization method with polyvinylidene fluoride(PVDF)ultrafiltration membrane as the matrix membrane,dopamine(DA),tannic acid(TA)and polyethyleneimine(PEI)as the co-deposit substances,and trimesoyl chloride(TMC)as the organic phase.The influences of the mass concentration ratios of DA to TA and PEI to TA on the structure and performance of PVDF composite loose nanofiltration membrane and the effect of treating simulated RB5 dye-containing wastewater by the membrane are evaluated.The membrane shows the best performance when ρ(DA)/ρ(TA)and ρ(PEI)/ρ(TA)are 2/8 and 4/6,respectively,over which the pure water flux is 36%and 113%,respectively higher than that over the membrane without TA.The flux of the simulated RB5 dye-containing wastewater is also 37%and 87%,respectively higher.The retention rates of dye are 95.5%and 95.4%,respectively,and those of salt(NaCl)are 3.95%and 3.15%,respectively.It is identified that PVDF composite loose nanofiltration membrane has good stability in the treatment of simulated RB5 dye-containing wastewater.
关键词
多巴胺/单宁酸/聚乙烯亚胺/PVDF复合疏松纳滤膜/染料/盐Key words
dopamine/tannic acid/polyethyleneimine/PVDF loose nanofiltration membrane/dye/salt引用本文复制引用
基金项目
国家自然科学基金面上项目(52070040)
中国博士后科学基金资助项目(2023M732171)
上海市"超级博士后"资助项目(2022243)
出版年
2024
NETL
NSTL
万方数据