Chinese Journal of Applied Chemistry ›› 2022, Vol. 39 ›› Issue (7): 1052-1064.DOI: 10.19894/j.issn.1000-0518.210164

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Preparation and Application of Basic OrangeⅡImprinted Sensor

Dong-Dong LI, Li QIN, Lu-Hua TANG, Wen-Hui GAO()   

  1. College of Food and Biology,Hebei University of Science and Technology,Shijiazhuang 050000,China
  • Received:2021-04-06 Accepted:2021-07-30 Published:2022-07-01 Online:2022-07-11
  • Contact: Wen-Hui GAO
  • About author:wenhuigao@126.com
  • Supported by:
    the Postgraduate Innovation Funding Project of Hebei Province(CXZZSS2021101);the Key Research and Development Program Project of Hebei Province(19275505D);the Science and Technology Research and Development Plan Project of Shijiazhuang(211170183A)

Abstract:

A novel imprinted sensor for rapid detection of basic orange Ⅱ was developed by using nano-graphene and nano-silver as modification materials to modify the working electrode with basic orange Ⅱ as template molecule, o-aminophenol and o-phenylenediamine as functional composite monomers. The optimal composite functional monomer was selected by ultraviolet (UV) spectroscopy, and the interaction form and intensity between the template molecule and composite functional monomer were researched by UV spectroscopy. The preparation conditions of the sensor were optimized by electrochemical analysis. Template molecules were eluted in methanol/0.4 mol/L NaOH solution (volume ratio 2∶1) to obtain a molecularly imprinted electrode. The performance of the sensor was investigated. The results show that the sensor has a high selectivity to basic orange Ⅱ, the average recoveries of the spiked samples are between 88.45% and 101.40% with the relative standard deviations (RSDs) of 1.31%~2.83% (n=5), the linear range of 3.0×10-9~5.0×10-5 mol/L with the detection limit of 1.0×10-9 mol/L. The sensor is successfully applied to the rapid detection of basic orange Ⅱ residues in foods.

Key words: Basic orange Ⅱ, Nano modification materials, Molecularly imprinted technology, Electrochemical sensor, Rapid detection

CLC Number: