Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

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

Dernière mise à jour : Mai 2018

Menu Logo Principal University of Reims Champagne-Ardenne

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)3.26.77.35.96

Fax : +33(0)3.26.77.35.99

Email: amandine.leroy@inra.fr

Career

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

Education

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

Skills

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.