References of "Delvigne, Frank"
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See detailImprovement of xylanase production by Penicillium canescens 10-10c in solid-state fermentation
Assamoi, antoine; Delvigne, Frank ULg; Aldric, Jean-Marc ULg et al

in Biotechnologie, Agronomie, Société et Environnement = Biotechnology, Agronomy, Society and Environment [=BASE] (2008)

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See detailSolid-state fermentation of xylanase from Penicillium canescens 10-10c in a multi-layer packed bed reactor
Assamoi, antoine; Destain, Jacqueline ULg; Delvigne, Frank ULg et al

in Applied Biochemistry and Biotechnology (2008), 145

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See detailCaractérisation des perturbations extracellulaires induites au sein des réacteurs scale-down par la superposition d'une approche expérimentale et d'une approche numérique
Delvigne, Frank ULg; Crine, Michel ULg; Toye, Dominique ULg et al

in Récents Progrès en Génie des Procédés - N°95 - Actes des 5èmes Journées francophones sur les réacteurs gaz-liquide et gaz-liquide-solide, 12-15 juin 2007, Carry-le-Rouet, France (2007)

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See detailComparison of the performances of different fermentation strategies on cell growth and bacteriocin production by Lactobacillus curvatus CWBI-B28
Ghalfi, Hakim; Benkerroum, Noreddine; Doguiet, Dalié et al

in Journal of the Science of Food and Agriculture (2007), 87

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See detailNew silicone based antifoam for fermentation
Etoc, Ariane; Delvigne, Frank ULg; Lecomte, Jean-Paul et al

Conference (2006, April 30)

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See detailFoam control in fermentation bioprocess: from simple aeration tests to bioreactor.
Etoc, A.; Delvigne, Frank ULg; Lecomte, Jean-Paul et al

in Applied Biochemistry and Biotechnology (2006), 130(1-3), 392-404

In this article, we describe the development of a simple laboratory test for the effective screening of foam control agents on a selected fermentation system, the mass production of Yarrowia lipolytica ... [more ▼]

In this article, we describe the development of a simple laboratory test for the effective screening of foam control agents on a selected fermentation system, the mass production of Yarrowia lipolytica. Aeration testing is based on sparging air in the foaming medium allowing partial reproduction of the gas-liquid hydrodynamic encountered in bioreactors. "Dynamic sparge test," for which measurements are made during foam formation, was used to compare the capacity of three antifoams, based on different technologies, to control the foam produced in the fermentation broth. The selected foam control agents were: (1) an organic antifoam (TEGO AFKS911), (2) a silicone-based emulsion containing in situ treated silica (DC-1520) and (3) a silicone/ organic blend silica-free formulation. The testing results demonstrated dramatic differences among them and showed that the capacity of TEGO AFKS911 and DC-1520 to control the foam generated in the fermentation broth decreases as a function of fermentation time. This occurred to a much lesser extent for the silicone/ organic blend formulation. These results were correlated with the change of the foam nature and the increase of foam stability of the fermentation broth with culture time. The increase in protein content as a function of growth time was correlated with an increase in foam stability and antifoam consumption. A "synthetic fermentation broth" was also developed, by adding both proteins and microorganism to the culture medium. This allowed us to mimic the fermentation broth, shown by the similar antifoams behaviour, and is therefore a simple methodology useful for the selection of appropriate antifoams. [less ▲]

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See detailStochastic models to study the impact of mixing on a fed-batch culture of Saccharomyces cerevisiae.
Delvigne, Frank ULg; Lejeune, Annick ULg; Destain, Jacqueline ULg et al

in Biotechnology Progress (2006), 22(1), 259-69

The mechanisms of interaction between microorganisms and their environment in a stirred bioreactor can be modeled by a stochastic approach. The procedure comprises two submodels: a classical stochastic ... [more ▼]

The mechanisms of interaction between microorganisms and their environment in a stirred bioreactor can be modeled by a stochastic approach. The procedure comprises two submodels: a classical stochastic model for the microbial cell circulation and a Markov chain model for the concentration gradient calculus. The advantage lies in the fact that the core of each submodel, i.e., the transition matrix (which contains the probabilities to shift from a perfectly mixed compartment to another in the bioreactor representation), is identical for the two cases. That means that both the particle circulation and fluid mixing process can be analyzed by use of the same modeling basis. This assumption has been validated by performing inert tracer (NaCl) and stained yeast cells dispersion experiments that have shown good agreement with simulation results. The stochastic model has been used to define a characteristic concentration profile experienced by the microorganisms during a fermentation test performed in a scale-down reactor. The concentration profiles obtained in this way can explain the scale-down effect in the case of a Saccharomyces cerevisiae fed-batch process. The simulation results are analyzed in order to give some explanations about the effect of the substrate fluctuation dynamics on S. cerevisiae. [less ▲]

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