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BioControl (Biosystems Modeling and Control)

Responsable d'Unité : Oui


• Modélisation mathématique et estimation paramétrique de systèmes biologiques 
• Optimisation basée sur modèle et régulation de systèmes biologiques
• Observation d'état (capteurs logiciels) pour systèmes biologiques
• Analyse de réseaux biologiques (metabolic flux analysis, flux balance analysis, flux variability analysis), notamment pour des systèmes sous-déterminés (plus de flux inconnus que d'équations disponibles)
• Applications types : cultures de microorganismes (levures, bactéries) ou cellules animales en bioréacteur (batch, fed-batch, perfusat) dans le cadre des industries agro-alimentaires et biopharmaceutiques


FishMod - Mathematical modeling for ecosystem approach to fisheries management in Vietnam

Research context

In  the  last  decades, Vietnamese  fisheries  have  developed  intensively.  This  sector  is  of  course  of  primary importance for Vietnam from a socio-economical point of view. However, the consequences of fishing activity intensification  can  be  very harmful  for  the  marine  ecosystem and  can  lead  to  severe  reduction,  or  even depletion,  of  some  fish  stocks.  To  try  keeping  a  sustainable  development,  a  fishery  management  strategy  has been approved for Vietnam in 2010. The goal was to reduce the coastal fishing pressure and to intensify offshore fishing.  A  strong  limitation  in  this  management  strategy  was  to  make  decisions  only  based  on  single  stock assessment. This latter does not take into consideration the numerous interactions between the different species at the ecosystem level. The scientific community has undertaken the analysis of marine ecosystems through mathematical models for several decades. In 2008, the FAO (Food and Agriculture Organization of the United Nations), advocated the use of ecosystem modeling for an ecosystem approach to fisheries management(FAO, 2008).


This  project  focuses  on  the development  of  mathematical  models  for  an  ecosystem  approach  to  fisheries management in Vietnam. The general goal is to propose models that can be reliably used to develop an efficient fisheries management strategy.

SuNuP - Optimization of the microorganism fermentation and drying conditions for the production of dry and active sourdoughs, starters and probiotics

Research context

The goal of the SuNuP project is to understand the mechanisms involved in microorganism resistance to drying through an analytical integrated approach: from the lab-scale cultures in mini-bioreactors to pilot scale drying. Funded by Wagralim, the agri-food innovation cluster in Wallonia region, the project consortium is made of 

- 3 academic partners:

o 3BIO-BioControl –Biosystems Modeling and Control lab at Université libre de Bruxelles (modeling, identification, state estimation and optimization of biological cultures)
o TIPs –Transfers, Interfaces and Processes lab at Université libre de Bruxelles (characterization and modeling of phenomena involved in drying processes)
o MiPI –Microbial Processes and Interactions lab at Gembloux Agro-Bio Tech (single-cell analysis of microbial populations and bioreactor cultures)

- 2 industrial partners:

o Vésale Pharma (microorganism encapsulation and probiotic production)
o Puratos (yeast and sourdough fermentation) –project coordinator


The main objectives at 3BIO-BioControl will be to
- build dynamical models of mono-and co-cultures of lactic acid bacteria and/or yeast for predicting, as a function of the operating conditions (especially the bioreactor feeding), microorganism growth, substrate consumption, metabolite production and stress protectant accumulation (for yeast);
- provide mathematical modeling and analysis of the interaction/competition mechanisms in the case of co-cultures of lactic acid bacteria and yeast;
- determine, based on the dynamical models, the optimal operating conditions for maximizing the microorganism growth rate and, in the case of yeast cultures, for maximizing the accumulation of stress protectants;
- build   software   sensors (state estimators) for   the   online   monitoring   of   the   stress   protectant accumulation in yeast.