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Preparation of Cellulose/Graphene Oxide Composite Membranes and Their Application in Removing Organic Contaminants in Wastewater.
Tian, Shu-Ya; Guo, Jian-Hui; Zhao, Chuang; Peng, Zhan; Gong, Chun-Hong; Yu, Lai-Gui; Liu, Xiu-Hua; Zhang, Jing-Wei.
Afiliação
  • Tian SY; College of Chemistry and Chemical Engineering, Henan University, Kaifeng 475004, Henan, China.
  • Guo JH; Engineering Research Center for Nanomaterials, Henan University, Kaifeng 475004, Henan, China.
  • Zhao C; Engineering Research Center for Nanomaterials, Henan University, Kaifeng 475004, Henan, China.
  • Peng Z; Engineering Research Center for Nanomaterials, Henan University, Kaifeng 475004, Henan, China.
  • Gong CH; College of Chemistry and Chemical Engineering, Henan University, Kaifeng 475004, Henan, China.
  • Yu LG; Engineering Research Center for Nanomaterials, Henan University, Kaifeng 475004, Henan, China.
  • Liu XH; College of Chemistry and Chemical Engineering, Henan University, Kaifeng 475004, Henan, China.
  • Zhang JW; Engineering Research Center for Nanomaterials, Henan University, Kaifeng 475004, Henan, China.
J Nanosci Nanotechnol ; 19(4): 2147-2153, 2019 04 01.
Article em En | MEDLINE | ID: mdl-30486958
ABSTRACT
Cellulose/graphene oxide composite membranes (CGCMs) were prepared using a vacuum-filtration method. The CGCMs were then used as filters to remove organic pollutants from wastewater. It was found that the CGCM filters could efficiently and simultaneously achieve wastewater treatment and adsorbent separation. Their adsorption of Rhodamine B (RhB, an organic dye) varied with varying cellulose/graphene oxide mass ratios. The CGCM obtained at a cellulose/graphene oxide mass ratio of 81 exhibited the maximum removal efficiency for RhB. The maximum adsorption capacity of the CGCMs for RhB was found to be 86.4 mg/g. In addition, the CGCMs were easily regenerated and the regenerated CGCMs retained good abilities to remove contaminants, which could be significant for their application in wastewater treatment.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article