Published December 2019 | Version v1
Journal article

Graphene nanoplatelet supported CeO2 nanocomposites towards electrocatalytic oxidation of multiple phenolic pollutants

  • 1. School of Chemistry and Environmental Engineering, Key Laboratory for Green Chemical Process of Ministry of Education, Hubei Key Lab of Novel Reactor &Green Chemical Technology, Wuhan Institute of Technology, Wuhan, 430073 (China)
  • 2. Institute of Materials Engineering, University of Siegen, 57076, Siegen (Germany)

Description

Highlights: • Facile synthesis of CeO2 nanocubes, nanopolyhedras and nanorods. • Morphology-dependent electrochemistry of CeO2 nanostructures. • Sensitive and selective monitoring of different environmental pollutants. -- Abstract: To explore suitable sensing materials for sensitive and selective detection of phenolic pollutants, CeO2 nanocubes, nanopolyhedras, and nanorods were synthesized by a hydrothermal method. These CeO2 nanomaterials were further loaded on the support of graphene nanoplatelets. As-synthesized nanomaterials and nanocomposites were characterized using transmission electron microscopy, X-ray diffraction and Raman spectroscopy as well as electrochemical techniques including cyclic voltammetry, electrochemical impedance spectroscopy, and differential pulse voltammetry. The nanocomposite of graphene nanoplatelets with CeO2 nanorods shows the highest electrochemical activity towards soluble species. Highly sensitive and selective determination of tetrabromobisphenol A, catechol, diethylstilbestrol, and nonylphenol was thus achieved at this nanocomposite based electrode. Their limits of detection were as low as 1.8, 42, 1.5 and 2.7 nM, respectively. Such an electrochemical sensor is thus promising for simple, fast and sensitive electrochemical determining of trace-leveled phenolic pollutants in water samples.

Additional details

Identifiers

DOI
10.1016/j.aca.2019.08.024;
PII
S0003267019309651;

Publishing Information

Journal Title
Analytica Chimica Acta
Journal Volume
1088
Journal Page Range
p. 45-53
ISSN
0003-2670
CODEN
ACACAM

Optional Information

Copyright
Copyright (c) 2019 Elsevier B.V. All rights reserved.