纳滤
膜
渗透
纳米纤维素
界面聚合
海水淡化
化学工程
材料科学
聚酰胺
选择性
薄膜复合膜
纳米纤维
细菌纤维素
反渗透
纤维素
高分子化学
化学
有机化学
纳米技术
聚合物
单体
复合材料
催化作用
生物化学
渗透
工程类
作者
Zhanghui Wang,Daowei Xia,Bingtao Wang,Hongzhi Liu,Liping Zhu
标识
DOI:10.1016/j.memsci.2022.120339
摘要
Nanofiltration (NF) membranes with excellent permeability and selectivity are highly desirable for the efficient separation but still remain a great challenge. Herein, a novel thin-film nanocomposite (TFN) membrane with excellent permeability and enhanced desalination was prepared by in-situ incorporating phosphorylated cellulose nanofibers (P–CNF) during interfacial polymerization. The unique attributes of P–CNF, especially the well dispersibility in water, excellent hydrophilicity and highly negative charges, were propitious to the formation of defect-free separation layer with hydrophilic nanochannels and high surface charge density. The composite membrane obtained thereby exhibited not only enhanced permeance of up to 17.0 L m−2 h−1 bar−1 but a high rejection of 95.4% for Na2SO4, successfully overcoming the trade-off effect between permeability and selectivity. Importantly, a low rejection of down to 5.3% for NaCl was achieved for the membrane due to a slight increase in effective pore size. Therefore, this composite membrane demonstrated elevated separation factor of up to 18.0 towards mono/divalent salts, 3–6 times higher than those of the reported TFN membranes and commercial NF membranes. Additionally, this membrane displayed highly efficient antibiotic desalination, suggesting its promising potential in pharmaceutical fields. As a result, the incorporation of P–CNF yielded a great enhancement to the water permeance and desalination ability of the polyamide membranes by tuning the microstructure. This work provided a novel biobased green nanomaterial for the fabrication of advanced NF membrane with outstanding perm-selectivity. The developed highly selective and permeable NF membrane has huge potentials in the efficient separation of divalent salt/antibiotic and monovalent salt.
科研通智能强力驱动
Strongly Powered by AbleSci AI