Laboratoire des Interactions Moléculaires et Réactivité Chimique et Photochimique
UMR 5623

OMSs and “green” materials

In a sustainable development approach, we take advantage of the morphological diversity of OMSs to develop new biomaterials or improve the implementation of recyclable materials.

We develop biodegradable microporous organogels, consisting of vegetable oils gelled by self-assembly of bio-sourced organogelators. The porosity is introduced in the materials by water-soluble porogens (such as sugar or salt crystals). These microporous materials are optimized as artificial matrix for cell culture or as adsorbents to collect hydrophobic pollutants. These organogels can also be used as vehicles to transport hydrophobic drugs.

In this context, we develop in particular colloidal aqueous dispersions of nanoparticles of organogel. These nanoparticles of gelled oils are evaluated as drug delivery systems.

In the context of sustainable development, it is also important to consider the recyclability of the material, especially if it is not a bio-based material. The development of thermoplastic composites (recyclable materials) in aeronautic revealed numerous difficulties of implementation, that we solved through the use of OMSs.
For example, sizing (compatible coating of carbon fibers), was solved by the formulation of stable aqueous dispersions of oligomers, and structural bonding through the formulation of OMSs for a chemical activation of the composites surface. This project developed in partnership with Airbus Industries has enabled us to integrate the IRT-AESE project for a larger development of bonding and sizing to other thermoplastic composites.

>> Development of an extraction method based on new porous organogel materials coupled with liquid chromatography–mass spectrometry for the rapid quantification of bisphenol A in urine
J. Chromatogr. A, 2015, 1414, 1-9
ter Halle A. ; Claparols C. ; Garrigues J.C. ; Franceschi-Messant S. ; Perez E.

>> Formulation optimization for thermoplastic sizing polyetherimide dispersion by quantitative structure–property relationship: experiments and artificial neural networks
J. Mater. Sci., 2014, 50, 420-426
Rodrigues M. ; Franceschi S. ; Perez E. ; Garrigues J.C.

2017 IMRCP