Well-defined polyester-grafted silica nanoparticles for biomedical applications: Synthesis and quantitative characterization

Prescillia Lagarrigue (1, 2) , Jérémy Soulié (1) , David Grossin (1) , Agnès Dupret Bories (1, 3) , Christèle Combes (1) , Vincent Darcos (2)

1 CIRIMAT - Centre interuniversitaire de recherche et d'ingenierie des matériaux
2 IBMM - Institut des Biomolécules Max Mousseron [Pôle Chimie Balard]
3 IUCT Oncopole - UMR 1037 - Institut Universitaire du Cancer de Toulouse - Oncopole

Polyester-based composites with silica nanoparticles fillers are promising candidates as biomaterials due to improved mechanical and biological properties. However, nanofillers use generally leads to an inhomogeneous distribution inside the polymer matrix because of agglomeration, decreasing composites overall performances. In view of improving nanofillers dispersion, we developed a synthesis and characterization method to design poly(d,l-lactide)-grafted silica nanoparticles using “grafting to” method and to quantify the amount of grafted poly(d,l-lactide). Firstly, well-defined N-hydroxysuccinimide ester poly(d,l-lactide)s were synthesized through a new pathway. Then, amino-functionalized silica nanoparticles were grafted with those customized polyesters yielding an amide covalent bond between both reagents. Such PDLLA-grafted nanoparticles were precisely characterized and the grafting amount was quantified using a dual approach based on TGA and FTIR analysis. The synthesis and the characterization methods developed constitute a robust and reproducible way to design well-defined polymer-grafted silica nanoparticles that could be used as nanofillers in polymer matrix nanocomposites for biomedical applications.

Mots clés: Polyesters; Silica nanoparticles; Grafted nanoparticles

Domaines: Polymères; Matériaux; Biomatériaux

Prescillia Lagarrigue, Jérémy Soulié, David Grossin, Agnès Dupret Bories, Christèle Combes, et al.. Well-defined polyester-grafted silica nanoparticles for biomedical applications: Synthesis and quantitative characterization. Polymer, 2020, 211, pp.123048. ⟨10.1016/j.polymer.2020.123048⟩. ⟨hal-03205777⟩