71 research outputs found

    Etude d'une méthode d'échantillonnage des populations de chevrettes (Macrobrachium lar. et M. australe) des rivières de Nuku Hiva (Marquises, Polynésie française)

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    Une méthode d'échantillonnage des #Macrobrachium, macrocrustacés dulçaquicoles, est étudiée dans le cadre d'un suivi de la faune non cible aux traitements des rivières de l'île de Nuku-Hiva (Marquises) visant l'éradication du "nono noir des vallées" (#Simulim buissoni). Plusieurs engins de pêche ont été étudiés dont de petites nasses fabriquées à l'aide de bouteilles plastiques. Le "comportement" de ces bouteilles en regard des captures échantillonnées est abordé par comparaison avec les captures d'autres types de pièges (grandes nasses et pêche électrique), divers types de bouteilles (appâtées, colorées), et différentes orientations des bouteilles dans la rivière. L'abondance des captures est analysée en fonction de l'échappement et des fluctuations de l'effort d'échantillonnage (nombre de bouteilles/unité de surface). L'efficacité des bouteilles transparentes quant à l'abondance des prises est étudiée après des estimations du nombre total de chevrettes dans le milieu résultant d'opérations de marquage-recapture et de comptages visuels de nuit. Enfin, une interprétation de l'abondance et de la densité des chevrettes par des variables écologiques descriptives du milieu est proposée. (Résumé d'auteur

    Biodiversity as a tool for waste phycoremediation and biomass production

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    About frame estimation of growth functions and robust prediction in bioprocess modeling

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    We address the problem of determining functional framing from experimental data points in view of robust time-varying predictions, which is of crucial importance in bioprocess monitoring. We propose a method that provides guaranteed functional bounds, instead of sets of parameters values for growth functions such as the classical Monod or Haldane functions commonly used in bioprocess modeling. We illustrate the applicability of the method with bioreactor simulations in batch and continuous mode, as well as on real data. We also present two extensions of the method adding flexibility in its application, and discuss its efficiency in providing guaranteed state estimations

    Étude et prédiction des interactions en coculture algale

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    Séminaire TREASURE 2018, Dec 2018, Hammamet, Tunisi

    Growth of Chlorella sorokiniana on a mixture of volatile fatty acids: The effects of light and temperature

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    International audienceThis study investigated the influence of light and temperature on Chlorella sorokiniana grown on a mixture of acetate and butyrate, two of the volatile fatty acids produced by dark fermentation. Exposure to light caused autotrophic biomass production (56% of the final biomass) and reduced the time to reach butyrate exhaustion to 7 days at 25°C from 10 days in the dark. For growth on acetate at the optimum temperature (35°C), the presence of butyrate reduced the growth rate (by 46%) and the carbon yield (by 36%). For successful microalgae growth on dark fermentation effluent, butyrate inhibition may be reduced by setting the temperature to 30°C and providing light

    Diauxic growth of heterotrophic microalgae on dark fermentation effluents

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    International audienceSeveral recent studies have shown the feasibility of producing both hydrogen and biolipids by coupling dark hydrogen fermentation of organic waste with lipid accumulation by microalgal heterotrophy [1]. Such combination allows the use of dark fermentation by-products (i.e. volatile fatty acids such as acetate, butyrate and lactate) as a low cost substrate to sustain microalgal heterotrophic growth. Nevertheless, little is known about the influence of mixed carbon sources on microalgal growth and some of dark fermentation by-products may act as growth inhibitor (e.g. butyrate) [2]. The objective of this study is to characterize the consumption of acetate, butyrate and lactate as single or mixed carbon sources by two lipid producing heterotrophic microalgae, Chlorella sorokiniana and Auxenochlorella protothecoides, using a kinetic modeling approach. Results will give new insights on microalgal physiology for optimizing the coupling of H2 producing dark fermentation and microalgal lipid production
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