4.6 Article

Polydopamine induced in-situ growth of Au nanoparticles on reduced graphene oxide as an efficient biosensing platform for ultrasensitive detection of bisphenol A

期刊

ELECTROCHIMICA ACTA
卷 242, 期 -, 页码 56-65

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.electacta.2017.05.007

关键词

Reduced graphene oxide; Polydopamine; Gold nanoparticles; Bisphenol A; Tyrosinase

资金

  1. National Natural Science Foundation of China [21505071, 31401573]
  2. Natural Science Foundation of Jiangsu Province [BK20150937]
  3. Natural Science Foundation of the Jiangsu Higher Education Institutions of China [15KJB150009]
  4. Open Research Fund of Key Laboratory of Environmental Medicine Engineering, Ministry of Education, Southeast University [2015EME003]
  5. Natural Science Foundation of Anhui Province [1508085MC47, 1508085MC42]
  6. China Postdoctoral Science Foundation [2016M592050]

向作者/读者索取更多资源

Bisphenol A (BPA) is one of the most prevalent environmental endocrine disrupting chemicals with potential estrogenic activity. Herein we report a facile electrochemical sensing strategy for ultrasensitive detection of BPA based on the hybrid of AuNPs decorated reduced graphene oxide (RGO). This Au@PDA-RGO hybrid was synthesized by in-situ growth of AuNPs induced by polydopamine (PDA) on RGO. Since PDA acts as a moderate reducing agent and an effective linker, AuNPs scatter well on RGO with controllable density, homogeneous size and uniform distribution. With the aid of chitosan (Chit), an electrochemical tyrosinase (Tyr) biosensor based on Au@PDA-RGO was constructed on glassy carbon electrode (Tyr/Au@PDA-RGO-Chit/GCE). This immobilization matrix possesses high conductivity, large active areas and a suitable biological microenvironment. As a result, the constructed Tyr biosensor exhibited good analytical performance for BPA with a high sensitivity of 0.2569 A M-1, a wide linear range from 12.5 nM to 3.68 mu M, and a low detection limit of 0.10 nM (S/N = 3). This method was also applied to detect BPA in plastic products, showing good agreement with the values detected by HPLC-MS/MS. (C) 2017 Elsevier Ltd. All rights reserved.

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