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作者:

Shen, Hongpan (Shen, Hongpan.) | Wang, Naixin (Wang, Naixin.) (学者:王乃鑫) | Ma, Kui (Ma, Kui.) | Wang, Lin (Wang, Lin.) | Chen, Ge (Chen, Ge.) (学者:陈戈) | Ji, Shulan (Ji, Shulan.) (学者:纪树兰)

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EI Scopus SCIE

摘要:

In this study, the inter-layer spacing between graphene oxide (GO) layers were tuned with solvent green (SG) to enhance the nanofiltration performance of the laminar GO membranes. GO nanosheets were firstly modified by SG through the strong pi-pi stacking interactions. The SG@GO nanocomposites were then assembled onto the surface of tubular ceramic substrate through immersion method. The morphologies and structures of the resulting SG@GO composite membranes were characterized by scanning electron microscope (SEM), energy dispersive X-ray spectrometer (EDX), X-ray diffraction (XRD), and Fourier transform infrared (FTIR). The composite membrane was used for removing dye molecules (Eriochrome black T) from water. It was found from the results that the SG@GO composite membranes showed a flux of 330 L m(-2) h(-1) MPa-1, which was nearly 6-fold enhancement compared with that of the pristine GO membrane (56 L m(-2) h(-1) MPa-1), without sacrificing the dye rejection. Therefore, this strategy may provide a facile approach to tune the inter-layer spacing of GO laminates for efficient molecular separation.

关键词:

Solvent green Graphene oxide Nanofiltration Dye rejection Inter-layer spacing

作者机构:

  • [ 1 ] [Wang, Naixin]Beijing Univ Technol, Coll Environm & Energy Engn, Beijing Key Lab Green Catalysis & Separat, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Naixin]Beijing Univ Technol, Coll Environm & Energy Engn, Dept Chem & Chem Engn, Beijing 100124, Peoples R China

通讯作者信息:

  • 王乃鑫

    [Wang, Naixin]Beijing Univ Technol, Coll Environm & Energy Engn, Beijing Key Lab Green Catalysis & Separat, Beijing 100124, Peoples R China

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来源 :

JOURNAL OF MEMBRANE SCIENCE

ISSN: 0376-7388

年份: 2017

卷: 527

页码: 43-50

9 . 5 0 0

JCR@2022

ESI学科: CHEMISTRY;

ESI高被引阀值:212

中科院分区:1

被引次数:

WoS核心集被引频次: 53

SCOPUS被引频次: 48

ESI高被引论文在榜: 0 展开所有

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