• 文献标题:   Fabrication of a Structure-Specific Molecular Imprinted Polymer-Based Electrochemical Sensor Based on CuNP-Decorated Vinyl-Functionalized Graphene for the Detection of Parathion Methyl in Vegetable and Fruit Samples
  • 文献类型:   Article
  • 作  者:   SOORAJ MP, MATHEW B
  • 作者关键词:   parathion methyl, cyclic voltammetry, molecular imprinted polymer, graphene, copper nanoparticle
  • 出版物名称:   FOOD ANALYTICAL METHODS
  • ISSN:   1936-9751 EI 1936-976X
  • 通讯作者地址:   Mahatma Gandhi Univ
  • 被引频次:   3
  • DOI:   10.1007/s12161-018-01428-w
  • 出版年:   2019

▎ 摘  要

Molecular imprinted polymers on copper nanoparticle-decorated vinyl-functionalized graphene (CuNPs@GR-MIPs) are fabricated. The copper nanoparticles (CuNPs) are synthesized by the reduction of diaminopropane copper complexes (DAPCu) using sodium borohydride as reducing agent. The synthesized CuNPs are successfully decorated on vinyl-functionalized graphene (V-fGR) on which MIPs are fabricated. All intermediates during the synthesis of CuNPs@GR-MIP are characterized in detail by Fourier-transform infrared spectroscopy, ultraviolet-visible spectroscopy, powder X-ray diffraction analysis, transmission electron microscopy, and scanning electron microscopy techniques. The fabricated CuNPs@GR-MIPs are developed as a sensor for organophosphorus pesticide parathion methyl. The recognition cavities formed on CuNPs@GR-MIP during the synthesis are mainly responsible for the sensing property. The result of the electrochemical studies shows that CuNPs@GR-MIP material has good recognition and sensing capacity towards parathion methyl (PM). The sensitivity is found to be directly proportional to the amount of PM molecules in solution with a detection limit of 0.24x10(-9)molL(-1) (S/N=3). The selectivity studies of the fabricated CuNPs@GR-MIP sensor give a fine discrimination between PM and its structurally similar compounds such as 2,4-dinitrophenol, nitrobenzene, nitroaniline, p-nitrophenol, ascorbic, dopamine acid, and malathion. Most promisingly, the sensing capacity of the synthesized CuNPs@GR-MIP is successfully demonstrated in vegetables and fruits which shows us the real time applicability of the sensor in food analysis.