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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/3434
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| Title: | Production of Bioactive Compounds Against Wood Contaminant Fungi: An Artificial Intelligence Approach |
| Authors: | Caldeira, A. Teresa
Roseiro, José
Arteiro, José
Neves, José
Vicente, Henrique |
| Editors: | Caldeira, Fernando |
| Keywords: | Bacillus
Phyto-pathogenic Fungi
Spore Formation
Anti-fungal Activity
Neural Networks
Intelligent Predictive Models |
| Issue Date: | 2011 |
| Publisher: | UFP Edition |
| Citation: | Caldeira, A.T., Roseiro, J.C., Arteiro, J.M., Neves, J. & Vicente, H., Production of Bioactive Compounds Against Wood Contaminant Fungi: An Artificial Intelligence Approach. In Fernando Caldeira Eds., Minimizing the Environmental Impact of the Forest Products Industries, pp. 131-137, University Fernando Pessoa Edition, Porto, Portugal, 2011. |
| Abstract: | A strain of Bacillus amiloliquefaciens was examined for antifungal activity against wood surface contaminant fungi,
blue stain fungi and phytopathogenic fungi. The bacterium was grown in liquid culture media in batch or continuous
culture, with different dilution rates, in order to study cell development and the production of metabolites with
antifungal activity. The bacterium inhibited the growth of fifteen fungi and displayed a broader spectrum of activity.
Artificial Neural Networks based approach was used in this study and a relationship between growth rate and the
formation of metabolites with antifungal activity was detected. |
| URI: | http://hdl.handle.net/10174/3434 |
| ISBN: | 978-989-643-083-2 |
| Type: | bookPart |
| Appears in Collections: | QUI - Publicações - Capítulos de Livros
CQE - Publicações - Capítulos de Livros
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