Biocompatible Self-Assembled Hydrogen-Bonded Gels Based on Natural Deep Eutectic Solvents and Hydroxypropyl Cellulose with Strong Antimicrobial Activity.
Daniela FilipDoina MacocinschiMihaela Balan-PorcăraşuCristian-Dragos VarganiciRaluca Petronela DumitriuDragos PeptanariuCristina Gabriela TuchilusMirela-Fernanda ZaltariovPublished in: Gels (Basel, Switzerland) (2022)
Natural deep eutectic solvents (NADES)-hydroxypropyl cellulose (HPC) self-assembled gels with potential for pharmaceutical applications are prepared. FT-IR, 1 HNMR, DSC, TGA and rheology measurements revealed that hydrogen bond acceptor-hydrogen bond donor interactions, concentration of NADES and the water content influence significantly the physico-chemical characteristics of the studied gel systems. HPC-NADES gel compositions have thermal stabilities lower than HPC and higher than NADES components. Thermal transitions reveal multiple glass transitions characteristic of phase separated systems. Flow curves evidence shear thinning (pseudoplastic) behavior. The flow curve shear stress vs. shear rate were assessed by applying Bingham, Herschel-Bulkley, Vocadlo and Casson rheological models. The proposed correlations are in good agreement with experimental data. The studied gels evidence thermothickening behavior due to characteristic LCST (lower critical solution temperature) behavior of HPC in aqueous systems and a good biocompatibility with normal cells (human gingival fibroblasts). The order of antibacterial and antifungal activities ( S.aureus , E.coli , P. aeruginosa and C. albicans ) is as follows: citric acid >lactic acid > urea > glycerol, revealing the higher antibacterial and antifungal activities of acids.
Keyphrases
- ionic liquid
- candida albicans
- lactic acid
- silver nanoparticles
- induced apoptosis
- endothelial cells
- wound healing
- escherichia coli
- cell cycle arrest
- visible light
- gene expression
- genome wide
- anti inflammatory
- electronic health record
- solid state
- machine learning
- dna methylation
- induced pluripotent stem cells
- cell death
- signaling pathway
- deep learning
- big data
- cell proliferation
- climate change
- drug release
- energy transfer
- pluripotent stem cells
- solar cells