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        AN ELECTRODE MODIFIED WITH AuNPs/GRAPHENE NANOCOMPOSITES FILM FOR THE DETERMINATION OF METHYL PARATHION RESIDUES

        YALI MAO,HUANBAO FA,YANMEI CHENG,CHANGJUN HOU,Dong Zhang,YANQIU DU,WEI YIN,DANQUN HUO 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2014 NANO Vol.9 No.8

        A novel sensitive and elective electrochemical sensor was developed to detect methyl parathion(MP) based on a glassy carbon electrode (GCE) modified with gold nanoparticles (AuNPs)/graphene nanocomposites film. The AuNPs were modified onto graphene sheets using NaBH4 as a reductant. The obtained AuNPs/graphene nanocomposites were characterized by scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The electrochemical behavior of MP and interference studies were then investigated. Compared with metal ions and nitroaromatic compounds, which exist in environmental samples, the AuNPs/graphene/GCE exhibited high adsorption and strong affinity toward MP. Under optimized conditions, the oxidationpeak current of MP was linear to its concentration within the range of 4.0×10-7 –8.0×10-5M, with a detection limit (S/N=3) of 8.5×10-8 M. These results indicated that the AuNPs/graphene nanocomposites displayed a synergic effect involving the catalytic characteristics of graphene and AuNPs nanocomposites, which can effectively improve the electrochemicalproperties of MP. Furthermore, the AuNPs also enhanced sensor sensitivity to MP. Therefore, the AuNPs/graphene/GCE could be a promising sensor for the fast, sensitive and selective detection of MP in real samples.

      • KCI등재

        Development of Simple and Effective Dual-Readout Sensor Based on Gold Nanoparticles and Cadmium Telluride Quantum Dots for Cartap Analysis

        Huixiang Wu,CHANGJUN HOU,Huanbao Fa,Liang Dong,Yi Ma,Mei Yang,Caihong Shen,Jun Zhou,DANQUN HUO 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2016 NANO Vol.11 No.7

        Cartap is among the most popular pesticides that are widely used to boost food production, however, its residues pose a great threat to human health and the environment. We presented simple and effective colorimetric sensor based on aggregation of gold nanoparticles (AuNPs) with appropriate diameter and fluorescent sensor via inner filter effect (IFE) of AuNPs on cadmium telluride quantum dots (CdTe QDs), respectively. Firstly, effect of diameter of AuNPs was investigated and the results indicated that AuNPs with diameter of 13 nm (AuNPs13nm) showed better sensitivity toward cartap. Thus, AuNPs13nm was chosen for colorimetric and fluorescent cartap assay. On one hand, mercaptoacetic acid (MA) was functionalized on AuNPs13nm for the improvement of anti-disturbance ability for discrimination study. A decent linear relationship for cartap was obtained in the range from 1 µM to 50 µM with detection limit of 1.32 µM for colorimetric readout; on the other hand, fluorescent sensor based on AuNPs13nm displayed excellent linear relationship with cartap concentration varying from 20 nM to 100 nM with low detection limit of 4.02 nM. And the above-mentioned sensor showed acceptable anti-disturbance ability for cartap discrimination. These results demonstrated that the sensor as-developed would be a great potential candidate for cartap detection in real application.

      • KCI등재

        A Novel Electrochemical Biosensor Based on Graphene and Cu Nanowires Hybrid Nanocomposites

        Mei Chen,CHANGJUN HOU,DANQUN HUO,Liang Dong,Mei Yang,Huanbao Fa 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2016 NANO Vol.11 No.11

        In this research, a new electrochemical sensor based on hybrid nanocomposite consisting of copper nanowires (CuNWs) and graphene (GR) were developed for the detection of organophosphorus pesticides (OPs). The surface morphology of the hybrid nanocomposite were studied by scanning electron microscope (SEM). The electrochemical behavior of the hybrid nanocomposites based sensor and its application for pesticides determination were evaluated by cyclic voltammetry (CV) and square wave voltammetry (SWV). Under optimized operational conditions, SWV was further employed for methyl parathion detection, which shows a wide dynamic range from 0.2 µM to 5 µM, a high sensitivity (69.2 · cm2 · µM-1) and the detection limit as low as 50 nM. It also had specific detection to the methyl parathion residues and had good reproducibility and stability. These results implicated the potential applicability of CuNWs/GNs-Chit hybrid nanocomposites in sensitive and selective detection of organophosphorus pesticides.

      • KCI등재

        A Porphyrin Molecularly Imprinted Biomimetic Electrochemical Sensor Based on Gold Nanoparticles and Carboxyl Graphene Composite for the Highly Efficient Detection of Methyl Parathion

        Bin He,Ya-Li Mao,Ya Zhang,WEI YIN,CHANGJUN HOU,DANQUN HUO,Huanbao Fa 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2017 NANO Vol.12 No.4

        A highly sensitive and selective biomimetic sensor based on zinc porphyrin molecularly imprinted Polymer microspheres (MIPMs), gold nanoparticles (AuNPs) and carboxyl graphene (CG) nanomaterials was successfully developed for direct electrochemical detection of methyl parathion (MP). The novel strategy emphasized the fabrication of a porphyrin zinc-based sensor via attaching MIPMs on AuNPs/CG nanocomposites. MIPMs was prepared by free radical polymerization using MP as the template, Zinc porphyrin as the functional monomer, ethylene glycol dimethacrylate (EGDMA) as the cross-linking reagent and azobisisobutyronitrile (AIBN) as the initiator. The introduction of AuNPs/CG significantly increased the effective electrode area, and amplified the sensor signal. The modified electrode was characterized by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The parameters of the detection process were also optimized. The biomimetic sensor exhibits a much wider linear dynamic range between 1.0 x 10 -6 mol L-1 and 8.0 x 10 -9 mol L-1 and the limit of detection (LOD) down to 3.16 x 10 -10 mol L-1 based on S/N = 3. The sensor had good reproducibility, stability and selectivity for MP detection. The developed sensor was successfully employed for the detection of MP in real samples.

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