• 文献标题:   Electronic-property dependent interactions between tetracycline and graphene nanomaterials in aqueous solution
  • 文献类型:   Article
  • 作  者:   HE L, LIU FF, ZHAO MY, QI Z, SUN XF, AFZAL MZ, SUN XM, LI YH, HAO JC, WANG SG
  • 作者关键词:   graphene oxide, reduced graphene oxide, tetracycline, adsorption, dft calculation, pibased interaction
  • 出版物名称:   JOURNAL OF ENVIRONMENTAL SCIENCES
  • ISSN:   1001-0742 EI 1878-7320
  • 通讯作者地址:   Shandong Univ
  • 被引频次:   4
  • DOI:   10.1016/j.jes.2017.04.030
  • 出版年:   2018

▎ 摘  要

Understanding the interactions between graphene nanomaterials (GNMs) and antibiotics in aqueous solution is critical to both the engineering applications of GNMs and the assessment of their potential impact on the fate and transport of antibiotics in the aquatic environment. In this study, adsorption of one common antibiotic, tetracycline, by graphene oxide (GO) and reduced graphene oxide (RGO) was examined with multi-walled carbon nanotubes (MWCNTs) and graphite as comparison. The results showed that the tetracycline adsorption capacity by the four selected carbonaceous materials on the unit mass basis followed an order of GO > RGO > MWCNTs > graphite. Upon normalization by surface area, graphite, RGO and MWCNTs had almost the same high tetracycline adsorption affinity while GO exhibited the lowest. We proposed pi-electron-property dependent interaction mechanisms to explain the observed different adsorption behaviors. Density functional theory (DFT) calculations suggested that the oxygen-containing functional groups on GO surface reduced its pi-electron-donating ability, and thus decreased the pi-based interactions between tetracycline and GO surface. Comparison of adsorption efficiency at different pH indicated that electrostatic interaction also played an important role in tetracycline-GO interactions. Site energy analysis confirmed a highly heterogeneous distribution of the binding sites and strong tetracycline binding affinity of GO surface. (C) 2017 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.