Anionic collagen processed by alkaline hydrolysis: rheological, biological, and 3D printability assessment

Collagen is the most abundant structural protein in the extracellular matrix, and its biocompatibility can be enhanced by chemical modification into a negatively charged matrix. This study investigates the effect of alkaline hydrolysis time (24, 48, 72, and 96` h) on the rheological behavior and processability of anionic concentrated collagen solutions extracted from bovine tendon. By systematically modulating hydrolysis time, we demonstrate how increasing negative charge density drives a rearrangement of the collagen network, resulting in more elastic and shear-thinning behavior, as evidenced by higher storage moduli, increased zero-shear viscosity, and enhanced creep-recovery response. Among the tested formulations, the 72-h hydrolyzed collagen exhibited the most balanced rheological profile and enabled extrusion-based 3D printing with high fidelity, achieving geometry preservation of 104 ± 4% (star angle), 98 ± 2% (scaffold area), and effective macroporosity of 84%. Longer hydrolysis led to decreased scaffold pore size and increased absorption of phosphate-buffered saline. All materials were non-cytotoxic and supported cell adhesion (58.74—74.89%). Overall, this work highlights how rheological characterization can guide the design and processability of collagen-based bioinks, linking structural and mechanical properties to 3D printing performance and biological outcomes.

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Publication Details

Journal
Rheologica Acta
Published
2026-04-13
DOI
https://doi.org/10.1007/s00397-026-01567-6
Primary Topic
Collagen: Extraction and Characterization
Type
article
Field-Weighted Citation Impact
0.00

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article

Anionic collagen processed by alkaline hydrolysis: rheological, biological, and 3D printability assessment

Mônica Beatriz Mathor, Bianca Chieregato Maniglia, Lívia Contini Massimino, Larissa Tessaro et al.
Rheologica Acta
Collagen: Extraction and Characterization
article

Anionic collagen processed by alkaline hydrolysis: rheological, biological, and 3D printability assessment

Mônica Beatriz Mathor, Bianca Chieregato Maniglia, Lívia Contini Massimino, Larissa Tessaro, Ana Maria de G. Plepis, Mirella R. V. Bertolo-Cagnoto, Virginia da C. A. Martins
article en

Abstract

Collagen is the most abundant structural protein in the extracellular matrix, and its biocompatibility can be enhanced by chemical modification into a negatively charged matrix. This study investigates the effect of alkaline hydrolysis time (24, 48, 72, and 96` h) on the rheological behavior and processability of anionic concentrated collagen solutions extracted from bovine tendon. By systematically modulating hydrolysis time, we demonstrate how increasing negative charge density drives a rearrangement of the collagen network, resulting in more elastic and shear-thinning behavior, as evidenced by higher storage moduli, increased zero-shear viscosity, and enhanced creep-recovery response. Among the tested formulations, the 72-h hydrolyzed collagen exhibited the most balanced rheological profile and enabled extrusion-based 3D printing with high fidelity, achieving geometry preservation of 104 ± 4% (star angle), 98 ± 2% (scaffold area), and effective macroporosity of 84%. Longer hydrolysis led to decreased scaffold pore size and increased absorption of phosphate-buffered saline. All materials were non-cytotoxic and supported cell adhesion (58.74—74.89%). Overall, this work highlights how rheological characterization can guide the design and processability of collagen-based bioinks, linking structural and mechanical properties to 3D printing performance and biological outcomes.

Rheologica Acta
Universidade Federal de São Carlos (BR), Universidade de São Paulo (BR), National Nuclear Energy Commission (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Universidade de São Paulo
Openalex Percentile: Top 29%
Collagen: Extraction and Characterization
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