Applied Physics A

, 122:40 | Cite as

Electrospinning of silver nanoparticles loaded highly porous cellulose acetate nanofibrous membrane for treatment of dye wastewater

  • Ke Wang
  • Qian Ma
  • Shu-Dong WangEmail author
  • Hua LiuEmail author
  • Sheng-Zhong Zhang
  • Wei Bao
  • Ke-Qin ZhangEmail author
  • Liang-Zhong Ling


In this paper, silver nanoparticles (NPs) were reduced form silver nitrate. Morphology and distribution of the synthesized silver NPs were characterized. In order to obtain cellulose acetate (CA), nanofibrous membrane with high effective adsorption performance to carry silver NPs for treatment of dye wastewater, different solvent systems were used to fabricate CA nanofibrous membranes with different morphologies and porous structures via electrospinning. Morphologies and structures of the obtained CA nanofibrous membranes were compared by scanning electron microscopy (SEM), which showed that CA nanofibrous membrane obtained from acetone/dichloromethane (1/2, v/v) was with the highly porous structure. SEM, energy-dispersive spectrometry and Fourier transform infrared spectrometry showed that the silver NPs were effectively incorporated in the CA nanofibrous membrane and the addition of silver NPs did not damage the porous structure of the CA nanofibrous membrane. Adsorption of dye solution (rhodamine B aqueous solution) revealed that the highly porous CA nanofibrous membrane exhibited effective adsorption performance and the addition of silver NPs did not affect the adsorption of the dye. Antibacterial property of the CA nanofibrous membrane showed that the silver-loaded highly porous CA nanofibrous membrane had remarkable antibacterial property when compared to the CA nanofibrous membrane without silver NPs. The silver-loaded highly porous CA nanofibrous membrane could be considered as an ideal candidate for treatment of the dye wastewater.


Cellulose Acetate Nanofibrous Membrane Cellulose Acetate Phthalate Cellulose Acetate Fiber Cellulose Acetate Solution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This research was financially supported by the Natural Science Foundation of Jiangsu Province, China (BK20131222). The authors are also grateful for Qinglan Project of Educational Department of Jiangsu Province, China (QLCG2012). This research was also financially supported by the project supported by Scientific Research Fund of Yancheng Institute of Industry Technology (ygy1409) and Science and Technology Planning Project of Jiangsu Entry-Exit Inspection and Quarantine Bureau (2015KJ18). This research was also financially supported by the Innovation and Entrepreneurship Leading Talent of Yancheng City (2014).


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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Jiangsu Research and Development Center of the Ecological Textile Engineering and Technology, College of Textile and ClothingYancheng Institute of Industry TechnologyYanchengPeople’s Republic of China
  2. 2.National Engineering Laboratory for Modern Silk, College of Textile and Clothing EngineeringSoochow UniversitySuzhouPeople’s Republic of China
  3. 3.Wuxi Entry-Exit Inspection and Quarantine BureauWuxiPeople’s Republic of China
  4. 4.Jiangsu Yueda Nanwei Textile Technologies Limited CompanyYanchengPeople’s Republic of China

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