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A novel detector using a fluorescent sensor array and discrimination of pesticides

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Abstract

A novel, simple, and rapid detector using a fluorescent sensor array for discrimination and quantification of different concentrations (ppb level) of pesticides was proposed in this paper. Employing porphyrin, porphyrin derivatives, and chemically responsive dyes as the sensing elements, the developed sensor array based on a cross-responsive mechanism showed a unique pattern of fluorescence changes upon the reaction that lasted just 10 min. The eigenvalues from raw fluorescence spectra were analyzed via a pattern recognition algorithm, including hierarchical cluster analysis (HCA), principal component analysis (PCA), and back-propagation neural network (BPNN). The results showed that HCA, which were used to assess the feasibility and effectiveness of discrimination of the fluorescent sensor array, revealed a distinct separation between different pesticides. PCA and BPNN were used for automatically predicting the concentration of pesticides, and the recovery was 91.29–109.81 % while the lowest relative standard deviation was up to 3.12 %. It indicates a detector based on the fluorescent sensor array is a rapid and feasible sensing platform for the discrimination and quantitative analysis of pesticides, and also shows the possibilities in the related fields of pesticides identification and detection.

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Acknowledgments

The authors would like to acknowledge the financial support from NSFC (31171684, 31101284), Key Technologies R&D Program of China (2014BAD07B02), China Postdoctoral Science Foundation Funded Project (2015M582522), Chongqing Postdoctoral Science Research Special Funded Project, China (Xm2015051), the Fundamental Research Funds for the Central Universities (106112015CDJRC121210), Liquor making biology technology and application of Key Laboratory Program of Sichuan Province, China (NJ2014-03), Chongqing Graduate Student Research Innovation Project, China (CYB15026) and the sharing fund of Chongqing university’s large equipment.

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Authors and Affiliations

  1. Postdoctoral Station of Science and Technology of Instrumentation, College of Optoelectronic Engineering, Chongqing University, Chongqing, 400044, China

    Jincan Lei

  2. Key Laboratory of Biorheology Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China

    Changjun Hou, Danqun Huo, Xiaogang Luo, Yanjie Li, Shixian Zhao & Huixiang Wu

  3. National Key Laboratory of Fundamental Science of Micro/Nano-Device and System Technology, Chongqing University, Chongqing, 400044, China

    Changjun Hou

  4. College of Chemistry and Chemical Engineering, Chongqing University, Chongqing, 400044, China

    Huanbao Fa

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  1. Jincan Lei
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  2. Changjun Hou
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  3. Danqun Huo
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  4. Xiaogang Luo
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  5. Yanjie Li
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  6. Huanbao Fa
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Correspondence to Changjun Hou.

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Lei, J., Hou, C., Huo, D. et al. A novel detector using a fluorescent sensor array and discrimination of pesticides. Res Chem Intermed 42, 7359–7374 (2016). https://doi.org/10.1007/s11164-016-2541-8

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  • DOI: https://doi.org/10.1007/s11164-016-2541-8

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