Chem. J. Chinese Universities ›› 2019, Vol. 40 ›› Issue (6): 1135.doi: 10.7503/cjcu20180799

• Analytical Chemistry • Previous Articles     Next Articles

Rapid Detection of Trace Organophosphorus Pesticides by Membrane Enrichment Combined with Membrane Image Colorimetric

XIONG Qin1, YANG Wuye1, YANG Shaojie2, LIU Jing2, YANG Shihua3, CHEN Wanchao1, LI Long1, DU Yiping1()   

  1. 1. School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai Key Laboratory of Functional Materials Chemistry, Shanghai 200237, China
    2. Yunnan Provincial Academy of Science and Technology, Kunming 650228, China
    3. Yunnan Comtestor Co., Ltd., Kunming 650106, China
  • Received:2018-11-27 Online:2019-06-10 Published:2019-05-11
  • Supported by:
    † Sopported by the Science and Technology Project of Yunnan Province, China(No.2016RA015).

Abstract:

A new method was developed for the rapid detection of organophosphorus pesticides based on smartphone and multi-channel membrane enrichment. According to the property that the activity of acetylcholinesterase was reduced by the specific inhibition of organophosphorus pesticides, indole acetate was used as a substrate which can be hydrolyzed by enzyme to form indigo. Indigo was enriched on a nylon membrane by the multi-channel membrane enrichment device with which analyte in standard solutions and sample solutions can be enriched on the same membrane at different positions. A mobile APP was developed to detect the membrane. Digital photographs of membrane were collected by the phone. With the APP, the influence of illumination and noise was eliminated and all samples enriched at different positions on the membrane could be identified automatically, the color signal of the samples were extracted, thus a standard curve of the color signal vs. concentration of the pesticide could be regressed. Limit of detection of trichlorfon was estimated being 0.030 mg/L. The content of trichlorfon in cucumber was analyzed with the developed method. The results showed that the recoveries were 95.8%—106.9% with relative standard deviations of 3.8%—5.4%. Using a smartphone but spectrometer, the proposed method is simple and applicable. Comparing with the method of GB/T 5009.100-2003, sensitivity and accuracy are improved significantly. The method showed potential applications in fast detection fields.

Key words: Smartphone, Membrane enrichment, Image colorimetric, Trichlorphon

CLC Number: 

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