PMID- 24552721 OWN - NLM STAT- MEDLINE DCOM- 20140417 LR - 20191210 IS - 0273-1223 (Print) IS - 0273-1223 (Linking) VI - 69 IP - 3 DP - 2014 TI - A methodology for a quantitative interpretation of DGGE with the help of mathematical modelling: application in biohydrogen production. PG - 511-7 LID - 10.2166/wst.2013.719 [doi] AB - Molecular biology techniques provide valuable insights in the investigation of microbial dynamics and evolution. Denaturing gradient gel electrophoresis (DGGE) analysis is one of the most popular methods which have been used in bioprocess assessment. Most of the anaerobic digestion models consider several microbial populations as state variables. However, the difficulty of measuring individual species concentrations may cause inaccurate model predictions. The integration of microbial data and ecosystem modelling is currently a challenging issue for improved system control. A novel procedure that combines common experimental measurements, DGGE, and image analysis is presented in this study in order to provide a preliminary estimation of the actual concentration of the dominant bacterial ribotypes in a bioreactor, for further use as a variable in mathematical modelling of the bioprocess. This approach was applied during the start-up of a continuous anaerobic bioreactor for hydrogen production. The experimental concentration data were used for determining the kinetic parameters of each species, by using a multi-species chemostat-model. The model was able to reproduce the global trend of substrate and biomass concentrations during the reactor start-up, and predicted in an acceptable way the evolution of each ribotype concentration, depicting properly specific ribotype selection and extinction. FAU - Tapia, Estela AU - Tapia E AD - Escuela de Ingenieria Bioquimica, Facultad de Ingenieria, Ponti fi cia Universidad Catolica de Valparaiso. General Cruz 34, Valparaiso, Chile E-mail: gonzalo.ruiz@ucv.cl. FAU - Donoso-Bravo, Andres AU - Donoso-Bravo A AD - Escuela de Ingenieria Bioquimica, Facultad de Ingenieria, Ponti fi cia Universidad Catolica de Valparaiso. General Cruz 34, Valparaiso, Chile E-mail: gonzalo.ruiz@ucv.cl; INRIA-Chile. Chilean Informatics Research and Innovation Centre (CIRIC), Rosario Norte 555 of. 703, Las Condes, Santiago, Chile. FAU - Cabrol, Lea AU - Cabrol L AD - Escuela de Ingenieria Bioquimica, Facultad de Ingenieria, Ponti fi cia Universidad Catolica de Valparaiso. General Cruz 34, Valparaiso, Chile E-mail: gonzalo.ruiz@ucv.cl. FAU - Alves, Madalena AU - Alves M AD - Centre of Biological Engineering, Institute for Biotechnology and Bioengineering, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal. FAU - Pereira, Alcina AU - Pereira A AD - Centre of Biological Engineering, Institute for Biotechnology and Bioengineering, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal. FAU - Rapaport, Alain AU - Rapaport A AD - UMR, INRA-SupAgro 'MISTEA', 2 place Viala, 34090 Montpellier, France and EPI 'MODEMIC', INRIA 06902 Sophia-Antipolis, France. FAU - Ruiz-Filippi, Gonzalo AU - Ruiz-Filippi G AD - Escuela de Ingenieria Bioquimica, Facultad de Ingenieria, Ponti fi cia Universidad Catolica de Valparaiso. General Cruz 34, Valparaiso, Chile E-mail: gonzalo.ruiz@ucv.cl. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't PT - Validation Study PL - England TA - Water Sci Technol JT - Water science and technology : a journal of the International Association on Water Pollution Research JID - 9879497 RN - 7YNJ3PO35Z (Hydrogen) SB - IM MH - Bioreactors/*microbiology MH - *Denaturing Gradient Gel Electrophoresis MH - Hydrogen/metabolism MH - Microbial Consortia MH - *Models, Biological MH - *Ribotyping EDAT- 2014/02/21 06:00 MHDA- 2014/04/18 06:00 CRDT- 2014/02/21 06:00 PHST- 2014/02/21 06:00 [entrez] PHST- 2014/02/21 06:00 [pubmed] PHST- 2014/04/18 06:00 [medline] AID - 10.2166/wst.2013.719 [doi] PST - ppublish SO - Water Sci Technol. 2014;69(3):511-7. doi: 10.2166/wst.2013.719.