Modelling the effect of temperature, water activity and pH on the growth of Serpula lacrymans.

about

Predicting and preventing mold spoilage of food products.Comparing lignocellulose physiochemistry after decomposition by brown rot fungi with distinct evolutionary origins.Effect of metal ions on autofluorescence of the dry rot fungus Serpula lacrymans grown on spruce wood.

P2860

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P2860

Modelling the effect of temperature, water activity and pH on the growth of Serpula lacrymans.

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http://www.wikidata.org/entity/Q45168221

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2011 nî lūn-bûn

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2011年の論文

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2011年学术文章

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2011年学术文章

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2011年学术文章

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2011年学术文章

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2011年学术文章

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2011年学术文章

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2011年學術文章

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2011年學術文章

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name

Modelling the effect of temper ...... e growth of Serpula lacrymans.

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Modelling the effect of temper ...... e growth of Serpula lacrymans.

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type

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Modelling the effect of temper ...... e growth of Serpula lacrymans.

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Modelling the effect of temper ...... e growth of Serpula lacrymans.

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Modelling the effect of temper ...... e growth of Serpula lacrymans.

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Modelling the effect of temper ...... e growth of Serpula lacrymans.

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P1476

Modelling the effect of temper ...... e growth of Serpula lacrymans.

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P2093

G Barbier

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L Coroller

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S Debaets

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S Maurice

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V Vasseur

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P2860

Modelling interactions in fungi

Growth modelling of heat-resistant fungi: the effect of water activity.

Associations between fungal species and water-damaged building materials.

Development and validation of experimental protocols for use of cardinal models for prediction of microorganism growth in food products.

A temperature-type model for describing the relationship between fungal growth and water activity.

Radial basis function neural networks for modeling growth rates of the basidiomycetes Physisporinus vitreus and Neolentinus lepideus.

Two invasive populations of the dry rot fungus Serpula lacrymans show divergent population genetic structures.

Studying and modelling the combined effect of temperature and water activity on the growth rate of P. expansum.

Modelling fungal growth using radial basis function neural networks: the case of the ascomycetous fungus Monascus ruber van Tieghem.

An unexpected correlation between cardinal temperatures of microbial growth highlighted by a new model.

P304

1436-1446

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scholarly article

P356

10.1111/J.1365-2672.2011.05161.X

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111

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Gaetan Le Floch

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2011-10-17T00:00:00Z

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51666490

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21951641

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Modelling the effect of temperature, water activity and pH on the growth of Serpula lacrymans.

about

P2860

P2860

Modelling the effect of temperature, water activity and pH on the growth of Serpula lacrymans.

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