Elsevier

Analytica Chimica Acta

Volume 1088, 11 December 2019, Pages 45-53
Analytica Chimica Acta

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

https://doi.org/10.1016/j.aca.2019.08.024Get rights and content

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.

Introduction

In recent years, sustained industrial development has produced tremendous economic benefits but accompanied by the formation of a large number of emerging contaminants, including flame retardants, endocrine disrupting chemicals (EDCs), pharmaceuticals, and personal care products (PPCPs). Among them, phenol derivatives have the biggest amounts but vary at different concentrations [1]. For example, the concentrations of phenol derivatives dissolved in water are actually low. However, they still threaten to human health, owing to their high toxicity and carcinogenicity [2]. Strict requirements have been thus set for the maximum content of these contaminants in natural water [3,4]. Take tetrabromobisphenol A (TBBPA) as an example, it is extensively used as a brominated flame retardant in the electronics, textiles, and other fields [5]. Meanwhile, it is regarded as an endocrine disruptor [6]. Moreover, TBBPA can cause adverse effects such as immunotoxicity [7], neurotoxicity [8], and developmental toxicity [9]. Surprisingly, TBBPA is still extensively applied in different fields, leading to a sharp increase of its content in environmental wastewater. Therefore, it is of great significance to monitor TBBPA at different concentration levels.

Up to now, many traditional techniques such as high performance liquid chromatography [10], liquid chromatography-mass spectrometry [11,12], gas chromatography-mass spectrometry [13], and electroanalysis [14,15] have been utilized for the detection of phenol derivatives. Compared with these techniques, an electrochemical method is more efficient and promising since it is cost-effective, sensitive, convenient, and rapid [16,17]. To develop electrochemical sensors with these features to detect TBBPA, the selection of suitable sensing materials is the first key issue. For example, the size, morphology, and crystal structure of nanomaterials affect significantly their performance and applications in the fields of catalysis, energy storage, and sensing [18,19]. The morphology control of nanomaterials has actually become extremely important during the synthesis of nanomaterials [20]. Of special interests, the application of these nanomaterials (e.g., inorganic metal oxide nanoparticles) with different morphologies has received considerable attention in the field of catalysis [[21], [22], [23], [24], [25], [26], [27]]. This is because the catalysts with different morphologies own varied electronic structures, surface atomic arrangement, adsorption active sites, comparative areas, and exposed crystal faces. Even for one same catalytic reaction, the catalytic steps (or catalytic activity and efficiency) are thus changed on these nanomaterials [[21], [22], [23], [24], [25], [26], [27]]. Among them, cerium dioxide (CeO2) nanomaterial is one of extensively utilized since it possesses excellent redox ability, unique optical properties, and chemical stability [[28], [29], [30]]. Surprisingly, its electrochemical sensing applications are seldom reported.

On the other hand, an electrochemical sensor needs a suitable support to load sensing materials (e.g., nanomaterials) in most cases. One of the best solutions is to form the nanocomposite of the support and the used sensing materials. Under these conditions, graphene nanoplatelet (GNP) is one of optimal candidates in that it owns unique two-dimensional structure, and excellent physical and chemical properties (e.g., high electrical conductivity, extraordinary electrocatalytic activity, and huge specific surface area) [31]. If GNPs are employed as the support to load nanomaterials (e.g., CeO2), the force between GNPs layers is possible to be undermined. In other words, nanomaterials can also reduce the stacking of GNPs. The synergetic effect probably existed inside the composite of the support (e.g., GNP) and the sensing materials (e.g., CeO2) eventually enables sensitive, stable, and reproducible electrochemical sensing.

Herein, the electrochemical sensing performance of GNPs supported CeO2 nanomaterials towards phenolic pollutants is reported. The detected phenolic pollutants include TBBPA, catechol (CC), diethylstilbestrol (DES), and nonylphenol (NP). The used CeO2 nanomateirals, synthesized by mean of a hydrothermal process, have three different morphologies (namely CeO2 nanocubes, nanopolyhedras, and nanorods). As expected, GNPs supported CeO2 nanomaterials exhibited different electrocatalytic (sensing) performance towards these phenolic pollutants, indicating morphology-dependent sensing performance. The CeO2 nanorod/GNP nanocomposite showed the best electrochemical sensing ability. A sensing platform with high sensitivity, selectivity, and stability for electrochemical determination of these pollutants in wide concentration ranges was thus constructed.

Section snippets

Materials

All chemicals were of analytical grade and used as received. TBBPA was offered from the Laboratory of Dr. Ehrenstorfer (German). DES, NP, and CC were purchased from Aladdin Chemistry Co., Ltd. (Shanghai, China). GNPs were obtained from Nanjing Xi Nano Mstar Technology Ltd (Nanjing, China). Ultrapure water (18.2 MΩ cm) was obtained from a Milli-Q water purification system and used throughout.

Three CeO2 nanomaterials were prepared by a reported hydrothermal method [32] where Ce(NO3)3·6H2O and

Results and discussion

To inspect the morphologies and microstructures of CeO2 nanomaterials, their TEM and high-resolution TEM (HRTEM) images were recorded. Obviously, these CeO2 nanomaterials show distinguished morphologies. The synthesized CeO2 nanomaterials in Fig. 1A are cubic. Their sizes are somehow different. The estimated average size is about 20 nm. They are thus named as CeO2 nanocubes. Differently, the nanomaterials in Fig. 1B are uniform and polyhedras. These CeO2 polyhedras have a size of about 10 nm.

Conclusion

Three CeO2 nanomaterials, namely CeO2 nanocubes, nanopolyhedras, and nanorods have been synthesized by a hydrothermal method and further applied sensing materials for the detection of phenolic pollutants. Supported by graphene nanoplatelets, these CeO2 nanomaterials showed morphology-dependent electrochemistry. On the nanocomposite of graphene nanoplatelets and CeO2 nanorods based electrode, a sensitive and selective electrochemical sensor has been established for the detection of

Declaration of interest statement

All financial supports have been stated. There are no any personal relationships with other people or organizations inappropriately influenced this work.

Conflict of interest

All the authors state that that there are no conflicts of interests.

Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (NO. 61701352) and Graduate Innovative Fund of Wuhan Institute of Technology of China (NO. CX2018153 and CX2018160).

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