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Can I read Facile Preparation of Dopamine Mediated Graphene Oxide Composite Membranes with Enhanced Stability for Nanofiltration: Structure, Performance and Stability on EtoBox?
Facile Preparation of Dopamine Mediated Graphene Oxide Composite Membranes with Enhanced Stability for Nanofiltration: Structure, Performance and Stability by Fanxin Kong; Lian You; Qian Liu; Peng Lu; Tao Liu; Guang-dong Sun; Yi Wang; Jin-fu Chen is a Economics, Econometrics and Finance article available to read on EtoBox.
What is Facile Preparation of Dopamine Mediated Graphene Oxide Composite Membranes with Enhanced Stability for Nanofiltration: Structure, Performance and Stability about?
Stalibility is a key issue to improve the commercialization of graphene oxide (GO) membranes for aqueous separation. Herein, the effect of dopamine (DA) addition mass on the performance and stability of the DA-mediated GO membranes was systematically investigated. The d-spacing of GO/DA membranes increased from 0.78 to 1.02 nm with DA loading from 0 to 25%. The improvement of water flux for GO/DA membranes was ascribed to the increased hydrophilicity and enlarged dspacing, but excessive crosslinkers contributed to the declining water flux. The Na 2 SO 4 rejection of GO/DA membranes showed the opposite trend with variations of less than 10%. The 30-day immersed evaluation further validated that the improved stability of DA-mediated GO membrane with increasing DA addition. The spacing modulation and functional groups in the interlayer galleries contribute to the performance and swelling of the GO membranes. The negligible effect of pharmaceutical adsorption on the d-spacing demonstrated the stability of of the GO/25%DA membrane. The DFTbased molecular simulations indicated the GO membranes can be crosslinked by the interaction of polydopamine with the oxygenated groups of GO nanoshee
Who reads Facile Preparation of Dopamine Mediated Graphene Oxide Composite Membranes with Enhanced Stability for Nanofiltration: Structure, Performance and Stability?
It is typically read by researchers, students, and practitioners in Economics, Econometrics and Finance.
- Author
- Fanxin Kong; Lian You; Qian Liu; Peng Lu; Tao Liu; Guang-dong Sun; Yi Wang; Jin-fu Chen
- Publisher
- Elsevier BV
- Published
- 2021
- Language
- EN
- Field
- Economics, Econometrics and Finance (Social Sciences)