Modelización de crecimientos microbianos en medios heterogéneos y de movilidad reducida

[EN] In this paper we have analysed various computer models published in scientific journals dealing with the study of microbial growth in semi-solid and heterogeneous environments on surface, to assess the interest and usefulness that these models could have in an academic context. We have chosen t...

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Detalles Bibliográficos
Autores: Font Marques, Meritxell, Ginovart Gisbert, Marta
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:español
OAI Identifier:oai:riunet.upv.es:10251/69978
Acceso en línea:https://riunet.upv.es/handle/10251/69978
Access Level:acceso abierto
Palabra clave:Bacterial growth
Non-planktonic growth
Individual-based model
NetLogo
Simulation
Crecimiento bacteriano
Crecimiento no planctonico
modelo basado en el individuo
Simulación
Descripción
Sumario:[EN] In this paper we have analysed various computer models published in scientific journals dealing with the study of microbial growth in semi-solid and heterogeneous environments on surface, to assess the interest and usefulness that these models could have in an academic context. We have chosen two of the analysed models as fundamental references and specific sources of information for the design and configuration of a new individual-based model that can be handled in the study of microbial systems. The new model developed, called INDISIM-Plate-NL, can deal with non-planktonic growth of the bacterium Escherichia coli on a surface, and it has been implemented in the free access NetLogo platform, a multi-agent programmable modelling environment. The outcomes of this new simulator related to bacterial growth in colonies with different morphologies are in good correspondence with experimental results and simulated results published and referenced in literature. The simulator will enable the study of these bacterial populations with reduced mobility through conducting virtual experiments in classroom.