A methodology for a quantitative interpretation of DGGEwith the help of mathematical modelling: application inbiohydrogen production

Abstract : Molecular biology techniques provide valuable insights in the investigation of microbial dynamics andevolution. Denaturing gradient gel electrophoresis (DGGE) analysis is one of the most popularmethods which have been used in bioprocess assessment. Most of the anaerobic digestion modelsconsider several microbial populations as state variables. However, the difficulty of measuringindividual species concentrations may cause inaccurate model predictions. The integration ofmicrobial data and ecosystem modelling is currently a challenging issue for improved system control.A novel procedure that combines common experimental measurements, DGGE, and image analysisis presented in this study in order to provide a preliminary estimation of the actual concentration ofthe dominant bacterial ribotypes in a bioreactor, for further use as a variable in mathematicalmodelling of the bioprocess. This approach was applied during the start-up of a continuous anaerobicbioreactor for hydrogen production. The experimental concentration data were used for determiningthe kinetic parameters of each species, by using a multi-species chemostat-model. The model wasable to reproduce the global trend of substrate and biomass concentrations during the reactor startup,and predicted in an acceptable way the evolution of each ribotype concentration, depictingproperly specific ribotype selection and extinction.
Document type :
Journal articles
Complete list of metadatas

https://hal.inria.fr/hal-01089493
Contributor : Pablo Koch <>
Submitted on : Monday, December 1, 2014 - 6:56:06 PM
Last modification on : Tuesday, August 13, 2019 - 2:30:11 PM

Identifiers

  • HAL Id : hal-01089493, version 1

Collections

Citation

A Donoso-Bravo, Estela Tapia, Léa Cabrol, G Ruiz-Filippi, Maria Madalena Alves, et al.. A methodology for a quantitative interpretation of DGGEwith the help of mathematical modelling: application inbiohydrogen production. Water Science and Technology, IWA Publishing, 2013, pp.511-517. ⟨hal-01089493⟩

Share

Metrics

Record views

94