A practical guide for optimal designs of experiments in the monod model

dc.contributor.authorDette, Holger
dc.contributor.authorMelas, Viatcheslav B.
dc.contributor.authorStrigul, Nikolay
dc.date.accessioned2006-08-07T12:16:07Z
dc.date.available2006-08-07T12:16:07Z
dc.date.issued2006-08-07T12:16:07Z
dc.description.abstractThe Monod model is a classical microbiological model much used in microbiology, for example to evaluate biodegradation processes. The model describes microbial growth kinetics in batch culture experiments using three parameters: the maximal specific growth rate, the saturation constant and the yield coefficient. However, identification of these parameter values from experimental data is a challenging problem. Recently, it was shown theoretically that the application of optimal design theory in this model is an efficient method for both parameter value identification and economic use of experimental resources (Dette et al., 2003). The purpose of this paper is to provide this method as a computational ”tool” such that it can be used by practitioners -without strong mathematical and statistical background- for the efficient design of experiments in the Monod model. The paper presents careful explanations of the principal theoretical concepts, and a computer program for practical optimal design calculations in Mathematica 5.0 software. In addition, analogous programs in Matlab software will be soon available at www.optimal-design.org.en
dc.format.extent380805 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2003/22694
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-14448
dc.language.isoen
dc.subjectBiodegradation kineticsen
dc.subjectD-optimalityen
dc.subjectMicrobial growthen
dc.subjectMonod modelen
dc.subjectOptimal experimentalen
dc.subject.ddc004
dc.titleA practical guide for optimal designs of experiments in the monod modelen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access

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