Document Detail

Catechol determination in compost bioremediation using a laccase sensor and artificial neural networks.
MedLine Citation:
PMID:  18398603     Owner:  NLM     Status:  In-Process    
An electrochemical biosensor based on the immobilization of laccase on magnetic core-shell (Fe(3)O(4)-SiO(2)) 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.
Lin Tang; Guangming Zeng; Jianxiao Liu; Xiangmin Xu; Yi Zhang; Guoli Shen; Yuanping Li; Can Liu
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-04-09
Journal Detail:
Title:  Analytical and bioanalytical chemistry     Volume:  391     ISSN:  1618-2650     ISO Abbreviation:  Anal Bioanal Chem     Publication Date:  2008 May 
Date Detail:
Created Date:  2010-11-30     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101134327     Medline TA:  Anal Bioanal Chem     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  679-85     Citation Subset:  IM    
College of Environmental Science and Engineering, Hunan University, Changsha, 410082, China.
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