4.4 Article

A Novel Electrochemical Sensor Based on Graphene Oxide Decorated with Silver Nanoparticles-Molecular Imprinted Polymers for Determination of Sunset Yellow in Soft Drinks

期刊

FOOD ANALYTICAL METHODS
卷 10, 期 7, 页码 2293-2301

出版社

SPRINGER
DOI: 10.1007/s12161-016-0753-6

关键词

Electrochemical sensor; Graphene oxide; Silver nanoparticles; Molecular imprinted polymers; Sunset yellow

资金

  1. National Natural Science Foundation of China [21207051]
  2. Ph.D. Programs Foundation of Ministry of Education of China [20123227120015]
  3. Natural Science Foundation of Jiangsu Province [BK20150483]
  4. China Postdoctoral Science Foundation [2014T70488]
  5. Natural Science Fund for Colleges and Universities in Jiangsu Province [16KJB530002, 15KJB550003]
  6. Society Development Fund of Zhenjiang [SH2013110]
  7. Programs of Senior Talent Foundation of Jiangsu University [15JDG024]

向作者/读者索取更多资源

In this study, a new imprinted electrochemical sensor for selectively detecting sunset yellow was developed based on glassy carbon electrode (GCE) modified by graphene oxide decorated with silver nanoparticles-molecular imprinted polymers (GO/AgNPs-MIPs). GO/AgNPs were firstly synthesized using self-assembly technology, and GO/AgNPs-MIPs were synthesized through surface imprinted technology by using GO/AgNPs as the substrate and sunset yellow as the template, respectively. The sensor was prepared by a drop-casting method. The synthetic materials were characterized by transmission electron microscope (TEM), Fourier transmission infrared spectra (FT-IR), and X-ray diffraction (XRD). The sensor was characterized by cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The usage amount of GO/AgNPs-MIPs suspensions, solution pH, and accumulation time made an important difference in the process of detecting sunset yellow. Under optimal conditions, the peak current is linear to concentration of sunset yellow in the ranges of 0.1-0.6 and 0.6-12 mu M, and the limit of detection was estimated to be 0.02 mu M (S/N = 3). Finally, the proposed sensor was applied to detect sunset yellow in soft drinks with acceptable recovery, which demonstrated that the sensor could be used as a reliable and simple method for practical detection of sunset yellow.

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