Towards tunable mechanical properties of in situ gelling chitosan hydrogels: impact of macromolecular structure including pattern of acetylation
Notice bibliographique
Résumé
Injectable in situ gelling physically crosslinked chitosan (CH) hydrogels allowing cell encapsulation are appealing for biomedical applications. However, the variability of the CH source is one of the major difficulties in ensuring their reproducibility. We investigated here the effect of the CH degree and pattern of acetylation (DA and PA) on its final physicochemical properties. Hydrogels made from re-acetylated CH presenting statistical repartition of repeat units along the chains, with DA of 35, 10 and 1 %, were compared to a commercial CH with DA of 10 % differing by their PA. WAXS analysis showed different crystalline signatures depending on the PA of CH samples. Rheometry revealed faster gelation kinetics, but lower final modulus for hydrogels made of commercial versus statistical CH of same DA. Both also differed in terms of porosity and stability in solution. Hydrogel stiffness from 60 to 0.3 kPa were obtained by varying DA and PA. Hydrogels with the lowest DA were the most stable in solutions. Encapsulated L929 fibroblasts presented similar increasing metabolic activity over 7 days of culture within all hydrogels. This work demonstrates the relevance of controlling chitosan DA and PA for the generation of reproducible hydrogels with tunable final mechanical properties for targeted bio-applications. Statement hypothesis Not only the degree of acetylation (DA, i.e. , the molar fraction of N -acetyl D-glucosamine units), but also the pattern of acetylation (PA; the repartition of the acetylated/deacetylated residue sequences along the chain), can influence the mechanical properties, the porosity, and the stability of physical in situ gelling CH hydrogels, therefore the behavior of encapsulated cells. Indeed, when the gel is formed using weak bases (here a combination of β-glycerophosphate and sodium hydrogen carbonate), the physical crosslinking density between CH chains can be influenced by the DA and the PA due to the resulting variation of NH 2 moieties repartition. We expect that for CH presenting a higher DA, weak gels will be generated due to reduced physical interactions established between protonated NH3+ groups and the weak base. Also, we expect to generate more stable constructs with CH presenting lower DA. Furthermore, for the same DA, the chemical process used for obtaining CH ( i.e. , from the reacetylation of low DA CH or deacetylation of chitin under heterogeneous or homogenous conditions) yields CHs with different PA, which we presume to significantly affect final structural and mechanical properties of the obtained hydrogels. Understanding the impact of the CH macromolecular structure on its injectable in situ gelling hydrogel form is fundamental for the generation of suitable and reproducible CH-based hydrogel materials in biomedical applications.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».