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24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

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Fractionation of AgroResources and Environment lab

LEROY Amandine

PhD Student

Adress: UMR FARE, 2 esplanade Roland-Garros, BP 224, 51686 Reims cedex 2

Phone number: +33 (0)

Fax : +33(0)



2017 (2 months): Master 1 internship, BIOPI, Amiens - Analysis of the accumulation and localization of flavonoids in flaxseed

2018 (6 months): Master 2 internship, UMR FARE INRA-URCA, Reims - Characterization of lignocellulosic assemblies: accessibility and interaction measures by fluorescence microscopy approaches (Lignoprog projet)

2018-2021: PhD, UMR FARE INRA-URCA, Reims - Multi-scale approach for dynamic monitoring of lignocellulosic biomass deconstruction


2013-2016: Licence : Science de la vie de la Terre spécialité Biologie, speciality biology

2016-2018: Master : Transformation et Valorisation des Ressources Naturelles (TVRN), speciality biotechnologie

2018-2021: PhD - Multi-scale approach for dynamic monitoring of lignocellulosic biomass deconstruction


Microscopy, polysaccharide chemistry, cytological and histological approaches.

Research interests

The enzymatic deconstruction of lignocellulosic biomass still limited by flawed efficiency of polysaccharide’s hydrolysis. In order to determine the chemicals and structural factors that drive hydrolysis, substrates characterization at different spatial scales is essential in combination with a temporal monitoring approach. Indeed, the lignocellulosic recalcitrance is established at the polymer, cells and tissues level with a high variability. The project approach consist in the contrasting sample selection of grass model (maize stem) pretreated or not by a standard hydrothermal process hydrolysing the hemicelluloses. Theses samples will then be hydrolysed by commercials cellulasic cocktails completed or not with oxidative enzymes targeting cellulose and acting in synergy with cellulases. The dynamic monitoring of samples hydrolysis by spectral approaches, structural and chemicals will allow to integrate different types of information, to determine their inter-relations and their quantitative impact on hydrolysis. The results obtained should make it possible to favour the choice of pre-treatments and types of enzymatic activities.