Pablo Ugalde-Salas
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Pablo Ugalde-Salas has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Jérôme Harmand
LBE, University of Montpellier, INRAE, Narbonne, France
2 shared publications - Alain Rapaport
MISTEA, Univ. Montpellier, INRAE, Institut Agro, 34060 Montpellier, France
1 shared publication - Elie Desmond-Le Quéméner
INRAE, Univ. Montpellier, LBE, 102 Avenue des étangs, F-11100 Narbonne, France
1 shared publication - Héctor Ramírez
Department of Mathematical Engineering and Center for Mathematical Modeling (CNRS IRL 2807), University of Chile, Santiago, Chile
1 shared publication - Mohammed Hanaki
Ibn Tofail Univ, LAGA, Kenitra, Morocco
1 shared publication - Tewfik Sari
GreenOwl Project Team, Université Côte d’Azur, Inria, INRAE, CNRS Sorbonne Université (LOV), Nice, France
1 shared publication
Latest Publications
- Open Access
Mathematical Study of a Two-Stage Anaerobic Model When the Hydrolysis Is the Limiting Step
A two-step model of the anaerobic digestion process is mathematically and numerically studied. The focus of the paper is put on the hydrolysis and methanogenesis phases when applied to the digestion of waste with a high content of solid matter: existence and stability properties of the equilibrium points are investigated. The hydrolysis step is considered a limiting step in this process using the Contois growth function for the bacteria responsible for the first degradation step. The methanogenesis step being inhibited by the product of the first reaction (which is also the substrate for the second one), and the Haldane growth rate is used for the second reaction step. The operating diagrams with respect to the dilution rate and the input substrate concentrations are established and discussed.
Open AccessMathematical Study of a Two-Stage Anaerobic Model When the Hydrolysis Is the Limiting Step
A two-step model of the anaerobic digestion process is mathematically and numerically studied. The focus of the paper is put on the hydrolysis and methanogenesis phases when applied to the digestion of waste with a high content of solid matter: existence and stability properties of the equilibrium points are investigated. The hydrolysis step is considered a limiting step in this process using the Contois growth function for the bacteria responsible for the first degradation step. The methanogenesis step being inhibited by the product of the first reaction (which is also the substrate for the second one), and the Haldane growth rate is used for the second reaction step. The operating diagrams with respect to the dilution rate and the input substrate concentrations are established and discussed.
- Open Access
- 25 February 2021
- Published by MDPI AG in Bioengineering
- Vol. 8 (3) , 31
Microbial Interactions as Drivers of a Nitrification Process in a Chemostat
This article deals with the inclusion of microbial ecology measurements such as abundances of operational taxonomic units in bioprocess modelling. The first part presents the mathematical analysis of a model that may be framed within the class of Lotka–Volterra models fitted to experimental data in a chemostat setting where a nitrification process was operated for over 500 days. The limitations and the insights of such an approach are discussed. In the second part, the use of an optimal tracking technique (developed within the framework of control theory) for the integration of data from genetic sequencing in chemostat models is presented. The optimal tracking revisits the data used in the aforementioned chemostat setting. The resulting model is an explanatory model, not a predictive one, it is able to reconstruct the different forms of nitrogen in the reactor by using the abundances of the operational taxonomic units, providing some insights into the growth rate of microbes in a complex community.
- 25 February 2021
- Published by MDPI AG in Bioengineering
- Vol. 8 (3) , 31
Open AccessMicrobial Interactions as Drivers of a Nitrification Process in a Chemostat
This article deals with the inclusion of microbial ecology measurements such as abundances of operational taxonomic units in bioprocess modelling. The first part presents the mathematical analysis of a model that may be framed within the class of Lotka–Volterra models fitted to experimental data in a chemostat setting where a nitrification process was operated for over 500 days. The limitations and the insights of such an approach are discussed. In the second part, the use of an optimal tracking technique (developed within the framework of control theory) for the integration of data from genetic sequencing in chemostat models is presented. The optimal tracking revisits the data used in the aforementioned chemostat setting. The resulting model is an explanatory model, not a predictive one, it is able to reconstruct the different forms of nitrogen in the reactor by using the abundances of the operational taxonomic units, providing some insights into the growth rate of microbes in a complex community.