Status
Scientific disciplines
Research direction
Process Design and Modeling
Affiliate site
Lyon
The PhD project is proposed in the context of the transformation of sugars into fine chemicals, more specifically fructose into platform molecules for the chemical industry. The goal of the project is to understand and rationalize the reaction mechanisms of sugars by combined experimental and theoretical approaches. In particular, the selectivity of the transformations will be addressed, especially the pathways leading to oligomers and humins, mainly responsible of the efficiency losses in the transformation of sugars. The project will combine analysis (LC-UC-RI, GC-FID, LC-HRMS…), experimental kinetics and kinetic modeling, and will focus on reaction intermediates and side-reaction research. This will also imply a thorough analytical work on the comprehension of the chemical composition of the fluids. The results should allow for a better understanding of the chemical reactivity involved and pave the way toward operating conditions optimization of conversion processes.
Through this project the candidate should thus be trained in a variety of techniques and approaches for the fundamental and applied research in the field of reaction engineering, kinetic modeling, catalysis, analysis and biomass transformation processes.
Keywords: sugars, reaction kinetics, kinetic modelling, humins
- Academic supervisor Dr HUDEBINE Damien, IFPEN
- Doctoral School ED206 - Ecole doctorale Chimie, Procédé, Environnement
- IFPEN supervisor Dr ALLAIN Florent, Reactor modeling engineer, Reaction and Reactor Modeling Department, florent.allain@ifpen.fr
- PhD location IFP Energies nouvelles, Lyon, France
- Duration and start date 3 years, starting in fourth quarter 2023
- Employer IFP Energies nouvelles, Lyon, France
- Academic requirements University Master’s degree in Chemical Engineering, Chemistry, or other related fields
- Language requirements Fluency in English and French (or willingness to learn French)
- Other requirements Knowledge in programming, experience in a lab environment