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Issue 23, 2018
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One-pot hydrothermal synthesis of amine-functionalized metal–organic framework/ reduced graphene oxide composites for the electrochemical detection of bisphenol A

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Abstract

In this study, amine-functionalized metal–organic framework/reduced graphene oxide (NH2-MIL-125/RGO) was prepared by a one-pot hydrothermal reaction and then coated on the surface of a glassy carbon electrode (GCE). Transmission electron microscopy, Raman spectroscopy, X-ray diffraction, Fourier-transform infrared spectroscopy, and thermogravimetric analysis were carried out to characterize NH2-MIL-125/RGO. In addition, the electrochemical detection of BPA in a phosphate solution was performed by cyclic voltammetry (CV), differential pulse voltammetry (DPV), and AC impedance spectroscopy (EIS). Experimental results showed that NH2-MIL-125 was successfully hybridized with GO, and NH2-MIL-125/RGO was well modified on the GCE. NH2-MIL-125/RGO/GCE displayed a high sensitivity and outstanding stability for the detection of BPA because of the synergistic effects of large surface area of GO and high porosity of NH2-MIL-125. Under the optimum conditions, the current of the oxidation peak of BPA was linear with the concentration of BPA from 2.00 to 200.00 μM, and limit of detection (S/N = 3) was calculated to be 0.7966 μM. The result indicated that an electrochemical sensor with favorable, highly sensitive, and good conductive performance was successfully prepared for the detection of BPA.

Graphical abstract: One-pot hydrothermal synthesis of amine-functionalized metal–organic framework/ reduced graphene oxide composites for the electrochemical detection of bisphenol A

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Publication details

The article was received on 10 Jan 2018, accepted on 06 May 2018 and first published on 12 May 2018


Article type: Paper
DOI: 10.1039/C8AY00052B
Citation: Anal. Methods, 2018,10, 2722-2730
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    One-pot hydrothermal synthesis of amine-functionalized metal–organic framework/ reduced graphene oxide composites for the electrochemical detection of bisphenol A

    L. J. Ling, J. P. Xu, Y. H. Deng, Q. Peng, J. H. Chen, Y. San He and Y. J. Nie, Anal. Methods, 2018, 10, 2722
    DOI: 10.1039/C8AY00052B

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