Nanoscale mechanical properties of chitosan hydrogels as revealed by AFM.

Atomic force microscopy Chitosan hydrogel gelation Young’s modulus distribution

Journal

Progress in biomaterials
ISSN: 2194-0509
Titre abrégé: Prog Biomater
Pays: Germany
ID NLM: 101656983

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 17 07 2020
accepted: 08 10 2020
pubmed: 7 11 2020
medline: 7 11 2020
entrez: 6 11 2020
Statut: ppublish

Résumé

In the context of tissue engineering, chitosan hydrogels are attractive biomaterials because they represent a family of natural polymers exhibiting several suitable features (cytocompatibility, bioresorbability, wound healing, bacteriostatic and fungistatic properties, structural similarity with glycosaminoglycans), and tunable mechanical properties. Optimizing the design of these biomaterials requires fine knowledge of its physical characteristics prior to assessment of the cell-biomaterial interactions. In this work, using atomic force microscopy (AFM), we report a characterization of mechanical and topographical properties at the submicron range of chitosan hydrogels, depending on physico-chemical parameters such as their polymer concentration (1.5%, 2.5% and 3.5%), their degree of acetylation (4% and 38.5%), and the conditions of the gelation process. Well-known polyacrylamide gels were used to validate the methodology approach for the determination and analysis of elastic modulus (i.e., Young's modulus) distribution at the gel surface. We present elastic modulus distribution and topographical and stiffness maps for different chitosan hydrogels. For each chitosan hydrogel formulation, AFM analyses reveal a specific asymmetric elastic modulus distribution that constitutes a useful hallmark for chitosan hydrogel characterization. Our results regarding the local mechanical properties and the topography of chitosan hydrogels initiate new possibilities for an interpretation of the behavior of cells in contact with such soft materials.

Identifiants

pubmed: 33156481
doi: 10.1007/s40204-020-00141-4
pii: 10.1007/s40204-020-00141-4
pmc: PMC7718388
doi:

Types de publication

Journal Article

Langues

eng

Pagination

187-201

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Auteurs

A Ben Bouali (A)

Univ Paris Est Creteil, INSERM, IMRB, F-94010, Creteil, France.
CNRS UMR 8246, INSERM U 1130, Neuroscience Paris Seine NPS, F-75005, Paris, France.
Sorbonne Universités, UPMC Paris 06, UM 119, Institut de Biologie Paris Seine IBPS, F-75005, Paris, France.
LEPCMAE, USTHB, Bab Ezzouar, Alger, Algérie.

A Montembault (A)

IMP, CNRS UMR 5223, Université Claude Bernard Lyon 1, Université de Lyon, Villeurbanne, France.

L David (L)

IMP, CNRS UMR 5223, Université Claude Bernard Lyon 1, Université de Lyon, Villeurbanne, France.

Y Von Boxberg (Y)

CNRS UMR 8246, INSERM U 1130, Neuroscience Paris Seine NPS, F-75005, Paris, France.
Sorbonne Universités, UPMC Paris 06, UM 119, Institut de Biologie Paris Seine IBPS, F-75005, Paris, France.

M Viallon (M)

IMP, CNRS UMR 5223, Université Claude Bernard Lyon 1, Université de Lyon, Villeurbanne, France.

B Hamdi (B)

LEPCMAE, USTHB, Bab Ezzouar, Alger, Algérie.
LCVRM, ENSSMAL, Cheraga, Alger, Algérie.

F Nothias (F)

CNRS UMR 8246, INSERM U 1130, Neuroscience Paris Seine NPS, F-75005, Paris, France.
Sorbonne Universités, UPMC Paris 06, UM 119, Institut de Biologie Paris Seine IBPS, F-75005, Paris, France.

R Fodil (R)

Univ Paris Est Creteil, INSERM, IMRB, F-94010, Creteil, France. redouane.fodil@u-pec.fr.
CNRS UMR 8246, INSERM U 1130, Neuroscience Paris Seine NPS, F-75005, Paris, France. redouane.fodil@u-pec.fr.
Sorbonne Universités, UPMC Paris 06, UM 119, Institut de Biologie Paris Seine IBPS, F-75005, Paris, France. redouane.fodil@u-pec.fr.

S Féréol (S)

Univ Paris Est Creteil, INSERM, IMRB, F-94010, Creteil, France. sophie.fereol@u-pec.fr.
CNRS UMR 8246, INSERM U 1130, Neuroscience Paris Seine NPS, F-75005, Paris, France. sophie.fereol@u-pec.fr.
Sorbonne Universités, UPMC Paris 06, UM 119, Institut de Biologie Paris Seine IBPS, F-75005, Paris, France. sophie.fereol@u-pec.fr.

Classifications MeSH