title: Modeling interpretation of microbe metabolism detected by nuclear magnetic resonance.
abstract: A new modeling approach is discussed for the analysis of microbial dynamics. It is based on structurally nonlinear compartmental models and on the dynamics of the substrate and product. Experimental data were acquired by NMR spectroscopy which is a noninvasive technique. This combined approach was tested with the fermentation of glucose to ethanol by Saccharomyces cerevisiae. The model was fitted with the experimental data to obtain the values of the parameters of the model. Similar processes can be analyzed and compared using this approach.
authors.affiliation: Department of Chemical and Biosystem Sciences, University of Siena, Italy.
authors.forename: S
authors.initials: S
authors.lastname: Bastianoni
authors.forename: A
authors.initials: A
authors.lastname: Donati
authors.forename: A
authors.initials: A
authors.lastname: Gastaldelli
authors.forename: N
authors.initials: N
authors.lastname: Marchettini
authors.forename: D
authors.initials: D
authors.lastname: Renzoni
authors.forename: C
authors.initials: C
authors.lastname: Rossi
mesh_terms: D000431:Ethanol / Q000378:metabolism*; D005285:Fermentation; D005947:Glucose / Q000378:metabolism*; D009682:Magnetic Resonance Spectroscopy; D008954:Models, Biological; D012441:Saccharomyces cerevisiae / Q000378:metabolism*
chemical_list: D000431:Ethanol; D005947:Glucose