4.7 Article

One-pot synthesis of nitrogen doped graphene-thionine-gold nanoparticles composite for electrochemical sensing of diethylstilbestrol and H2O2

期刊

MICROCHEMICAL JOURNAL
卷 157, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.microc.2020.104924

关键词

Electrochemical sensor; Thionine; Nitrogen doped graphene; Ratiometric strategy; Diethylstilbestrol H2O2

资金

  1. National Natural Science Foundation of China [21005002, 21575003]
  2. Anhui Provincial Natural Science Foundation [1908085MB52]
  3. Foundation for Innovation Team of Bioanalytical Chemistry of Anhui Province

向作者/读者索取更多资源

In this work, a facile, one-pot, and green synthetic approach was proposed to prepare a novel nanocomposite of nitrogen doped graphene-thionine-gold nanoparticles (NG-Thi-AuNPs), which was then modified on electrode to fabricate an electrochemical sensor for diethylstilbestrol (DES) accurate and reliable detection based on ratiometric strategy. The synthesized NG-Thi-AuNPs was characterized by transmission electron microscope, scanning electron microscope, Fourier transform infrared spectrum, and X-ray diffraction. Due to the merits of good conductivity and high electroactive surface of NG and AuNPs, as well as the synergistic interaction toward DES, the nanocomposite showed high sensitivity for DES detection. Moreover, the modified Thi exhibited a constant current response regardless how the DES concentration changed, which made Thi to be a good inner reference to improve the accuracy and reliability of the sensor. Thus, a ratiometric signal (Delta i(DES)/Delta i(Thi)) was measured and calculated for DES detection with a wide linear range and a low limit of detection of 5.0 x 10(-8) - 8.0 x 10(-5) mol/L and 9.6 x 10(-9) mol/L, respectively. Due to the excellent conductivity and high electrocatalytical activity of the nanocomposite, the sensor was employed for the sensitive detection of H2O2 with the linear range of 5.0 x 10(-7) - 1.0 x 10(-2) mol/L. With the good anti-interference, reproducibility, and stability, the prepared sensor was successfully used for real samples determination.

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