4.7 Article

Molecularly imprinted polymer on graphene surface for selective and sensitive electrochemical sensing imidacloprid

期刊

SENSORS AND ACTUATORS B-CHEMICAL
卷 252, 期 -, 页码 991-1002

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2017.04.159

关键词

Imidacloprid; Molecularly imprinted graphene; Electrochemical sensor; Determination

资金

  1. National Natural Science Foundation of China [31000831]
  2. Natural Science Foundation of Heilongjiang Province [C2016033]
  3. National Science Foundation for Post-doctoral Scientists of China [20090450478]
  4. Youth Science Fund Project of Heilongjiang Province [QC2013CO26]
  5. Natural Science Research and Innovation Funds of Harbin Institute of Technology [HIT.NSRIF.2008.30]
  6. Postdoctoral Science-Research Developmental Foundation of Heilongjiang Province [LBH-Q12085]
  7. Harbin Special Foundation for Technological Innovation Scientist [2014RFXXJ113]

向作者/读者索取更多资源

A novel and simple imprinting route based on graphene (GN) was proposed to fabricate an electrochemical sensor for sensitive and selective determination of imidacloprid (IDP) residue. In this route, p-vinylbenzoic acid (VBA) was utilized as functional monomer to immobilize onto GN in N,N-dimethylformamide (DMF) solvent via pi-pi interaction, directing the polymerization of uniform molecularly imprinted polymers (MIP) layers on the surface of GN sheets. Besides, quantitative control of the synthesis of MIP/GN and the preparation of MIP/GN modified glassy carbon electrode (GCE) were carried out, which were rarely found in other papers. Thus, the proposed sensor possesses highly improved stability and specific recognition ability. The adsorption isotherm study indicated that the MIP layer on GN surface is monolayer and the structure is homogeneous. The peak current of IDP on MIP/GN modified GCE is linear with IDP concentration in the range of 0.5-15 mu M with a detection limit of 0.10 mu M. In addition, the novel method was further applied to detect IDP in brown rice samples with satisfactory results. (C) 2017 Elsevier B.V. All rights reserved.

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