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Catechol determination in compost bioremediation using a laccase sensor and artificial neural networks

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Abstract

An electrochemical biosensor based on the immobilization of laccase on magnetic core-shell (Fe3O4–SiO2) nanoparticles was combined with artificial neural networks (ANNs) for the determination of catechol concentration in compost bioremediation of municipal solid waste. The immobilization matrix provided a good microenvironment for retaining laccase bioactivity, and the combination with ANNs offered a good chemometric tool for data analysis in respect to the dynamic, nonlinear, and uncertain characteristics of the complex composting system. Catechol concentrations in compost samples were determined by using both the laccase sensor and HPLC for calibration. The detection range varied from 7.5 × 10–7 to 4.4 × 10–4 M, and the amperometric response current reached 95% of the steady-state current within about 70 s. The performance of the ANN model was compared with the linear regression model in respect to simulation accuracy, adaptability to uncertainty, etc. All the results showed that the combination of amperometric enzyme sensor and artificial neural networks was a rapid, sensitive, and robust method in the quantitative study of the composting system.

Structure of the magnetic carbon paste electrode used in the electrochemical biosensor

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Acknowledgements

The study was financially supported by the National Natural Science Foundation of China (No.50608029), the National 863 High Technologies Research Foundation of China (No.2004AA649370), the National Basic Research Program (973 Program) (No. 2005CB724203), the Natural Foundation for Distinguished Young Scholars (No.50425927, No.50225926) and Program for Changjiang Scholars and Innovative Research Team in University (IRT0719).

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Authors and Affiliations

  1. College of Environmental Science and Engineering, Hunan University, Changsha, 410082, China

    Lin Tang, Guangming Zeng, Jianxiao Liu, Xiangmin Xu, Yi Zhang, Yuanping Li & Can Liu

  2. College of Environmental Science and Engineering, Ocean University of China, Qingdao, 266003, China

    Guangming Zeng, Jianxiao Liu & Xiangmin Xu

  3. State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China

    Guoli Shen

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  1. Lin Tang
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  2. Guangming Zeng
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  3. Jianxiao Liu
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  4. Xiangmin Xu
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  5. Yi Zhang
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  6. Guoli Shen
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  7. Yuanping Li
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  8. Can Liu
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Correspondence to Guangming Zeng.

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Tang, L., Zeng, G., Liu, J. et al. Catechol determination in compost bioremediation using a laccase sensor and artificial neural networks. Anal Bioanal Chem 391, 679–685 (2008). https://doi.org/10.1007/s00216-008-2049-1

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  • DOI: https://doi.org/10.1007/s00216-008-2049-1

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