Issue 11, 2015

Electrochemical sensor based on a polyaniline-modified SnO2 nanocomposite for detecting ethephon

Abstract

Ethephon is a plant growth regulator and is often applied in the process of fruit growth. It could result in considerable inhibition of cholinesterase in blood plasma and erythrocytes and is very harmful to human beings on excessive consumption. Nanocomposites from polyaniline and stannic oxide (SnO2@PANI) were synthesized and developed as the electrode material for detecting ethephon. Herein, SnO2 nanoparticles were prepared by the method of liquid phase precipitation. Afterwards, the as-prepared SnO2 nanoparticles were mixed with the aniline polymerization system to form the SnO2@PANI nanocomposite. The basic chemical components of the fabricated sensor were characterized in detail using Fourier-transform infrared spectroscopy and X-ray photoelectron spectroscopy. It was demonstrated that the developed SnO2@PANI nanocomposite exhibits good electrochemical performance with relatively low charge-transfer resistance. Compared with the pristine SnO2 and PANI, ethephon preferred to adsorb onto the SnO2@PANI nanocomposite surface because of the synergic interaction between the two components of SnO2 and PANI. The electrochemical impedance spectra illustrated that the fabricated ethephon sensor had excellent sensitivity, with a detection limit of 4.76 pg mL−1 within the range from 0.01 to 5 ng mL−1. Moreover, the developed electrochemical biosensor exhibits good selectivity and stability. All of these good performances provide a promising tool to detect illegal food additives.

Graphical abstract: Electrochemical sensor based on a polyaniline-modified SnO2 nanocomposite for detecting ethephon

Supplementary files

Article information

Article type
Paper
Submitted
19 Apr 2015
Accepted
22 Apr 2015
First published
23 Apr 2015

Anal. Methods, 2015,7, 4725-4733

Author version available

Electrochemical sensor based on a polyaniline-modified SnO2 nanocomposite for detecting ethephon

Z. Zhang, S. Zhai, M. Wang, L. He, D. Peng, S. Liu, Y. Yang, S. Fang and H. Zhang, Anal. Methods, 2015, 7, 4725 DOI: 10.1039/C5AY01028D

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