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Simultaneous Amperometric Determination of Lignin Peroxidase and Manganese Peroxidase Activities in Compost Bioremediation Using Artificial Neural Networks by Lin Tang; Guang-Ming Zeng; Guo-Li Shen; Yi Zhang; Guo-He Huang; Jian-Bing Li is a Chemistry article available to read on EtoBox.
What is Simultaneous Amperometric Determination of Lignin Peroxidase and Manganese Peroxidase Activities in Compost Bioremediation Using Artificial Neural Networks about?
The activities of lignin-degrading peroxidases are the primary decomposition indexes in compost bioremediation. In this paper, artificial neural networks (ANNs) have been combined with an enzyme sensor for simultaneous determination of lignin peroxidase (LiP) and manganese peroxidase (MnP) activities secreted by Phanerochaete chrysosporium in composting of municipal solid waste. The LiP and MnP activities were detected through catalytic redox of H2O2, hydroquinone and veratryl alcohol as substrates by an amperometric sensor immersed in the culture filtrate solution. Due to the dynamic, nonlinear and uncertain characteristics of the complex composting system, ANNs have been used as a chemometric tool for overlapping signal deconvolution and modelling to quantify the two enzyme activities separately. Feedforward backpropagation network was used for the training process. The effects of the transfer functions, the amount of current values, the number of hidden neurons and the optimization algorithm were investigated. The LiP activities in the filtrate varied from 8.14 to 29.79 U L(-1), and from 0.36 to 1.37 U L(-1) for MnP activities. A good prediction capability was obtained, with cor
Who reads Simultaneous Amperometric Determination of Lignin Peroxidase and Manganese Peroxidase Activities in Compost Bioremediation Using Artificial Neural Networks?
It is typically read by researchers, students, and practitioners in Chemistry.
- Author
- Lin Tang; Guang-Ming Zeng; Guo-Li Shen; Yi Zhang; Guo-He Huang; Jian-Bing Li
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0003-2670)
- Published
- 2006
- Language
- EN
- Field
- Chemistry (Physical Sciences)