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A dynamic growth model of Dunaliella salina: parameter identification and profile likelihood analysis.
Fachet, Melanie; Flassig, Robert J; Rihko-Struckmann, Liisa; Sundmacher, Kai.
Afiliación
  • Fachet M; Max Planck Institute for Dynamics of Complex Technical Systems, Process Systems Engineering, Sandtorstr. 1, 39106 Magdeburg, Germany.
  • Flassig RJ; Max Planck Institute for Dynamics of Complex Technical Systems, Process Systems Engineering, Sandtorstr. 1, 39106 Magdeburg, Germany.
  • Rihko-Struckmann L; Max Planck Institute for Dynamics of Complex Technical Systems, Process Systems Engineering, Sandtorstr. 1, 39106 Magdeburg, Germany. Electronic address: rihko@mpi-magdeburg.mpg.de.
  • Sundmacher K; Max Planck Institute for Dynamics of Complex Technical Systems, Process Systems Engineering, Sandtorstr. 1, 39106 Magdeburg, Germany; Otto von Guericke University Magdeburg, Process Systems Engineering, Universitätsplatz 2, 39106 Magdeburg, Germany.
Bioresour Technol ; 173: 21-31, 2014 Dec.
Article en En | MEDLINE | ID: mdl-25280110
In this work, a photoautotrophic growth model incorporating light and nutrient effects on growth and pigmentation of Dunaliella salina was formulated. The model equations were taken from literature and modified according to the experimental setup with special emphasis on model reduction. The proposed model has been evaluated with experimental data of D. salina cultivated in a flat-plate photobioreactor under stressed and non-stressed conditions. Simulation results show that the model can represent the experimental data accurately. The identifiability of the model parameters was studied using the profile likelihood method. This analysis revealed that three model parameters are practically non-identifiable. However, some of these non-identifiabilities can be resolved by model reduction and additional measurements. As a conclusion, our results suggest that the proposed model equations result in a predictive growth model for D. salina.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fotosíntesis / Reactores Biológicos / Proliferación Celular / Chlorophyta / Modelos Biológicos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioresour Technol Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2014 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fotosíntesis / Reactores Biológicos / Proliferación Celular / Chlorophyta / Modelos Biológicos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioresour Technol Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2014 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido