• 文献标题:   Kinetics and adsorption isotherm model of 2-thiouracil adsorb e d onto the surface of re duce d graphene oxide-copper oxide nanocomposite material
  • 文献类型:   Article
  • 作  者:   KUMAR P, DAS S
  • 作者关键词:   graphene oxide, copper oxide, nanocomposite, organic pollutant, adsorption kinetic, thiouracil, isotherm model
  • 出版物名称:   JOURNAL OF MOLECULAR STRUCTURE
  • ISSN:   0022-2860 EI 1872-8014
  • 通讯作者地址:  
  • 被引频次:   2
  • DOI:   10.1016/j.molstruc.2022.133723 EA JUL 2022
  • 出版年:   2022

▎ 摘  要

Graphene-construct nanocomposite materials have gathered considerable scientific importance for their unique ability to detect and remove various bioactive molecules/pollutants. Herein, we report on rGO-CuO nanocomposite as an adsorbent material for removing thiouracil biomolecules, viz-6A2TU and 6A5N2TU, respectively. The synthesized rGO-CuO nanocomposite is characterized using UV-vis, FTIR, XRD, SEM-EDX, Raman, and TEM analysis. The surface morphology of rGO-CuO shows well exfoliation with rGO wrapped on the surface of Cu and CuO nanoparticles. While the FTIR, X-ray diffraction, and UV-vis spectroscopic analysis show successful adsorption of 6A2TU and 6A5N2TU on the outer surface of rGO-CuO. rGO-CuO selectively adsorb the uracil derivatives with good efficiency compared to individual components. The binding kinetics of 6A2TU & 6A5N2TU on rGO-CuO are studied using UV-vis spectroscopy. The order of the reaction; pseudo 2nd order kinetics suites well with correlation coefficient (R 2 - 0.9999), representing proper surface-oriented chemisorption via coordination mechanism. The rGO-CuO shows excellent ad-sorption behavior with a maximum removal efficiency of 78.36% and 84.56% for 6A2TU and 6A5N2TU, respectively, and following the Temkin adsorption isotherm model. These characteristic features of the material provide the huge removal capacity of the thiouracil derivatives and reusability up to 92%. This nanocomposite material can remove antibiotics/bioactive molecules (organic pollutants) in the aquatic environment.(c) 2022 Elsevier B.V. All rights reserved.