Experimental characterization and computational modeling of hydrogel cross-linking for bioprinting applications

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Aidin Hajikhani
  • Franca Scocozza
  • Michele Conti
  • Michele Marino
  • Ferdinando Auricchio
  • Peter Wriggers

Organisationseinheiten

Externe Organisationen

  • Università degli Studi di Pavia
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Details

OriginalspracheEnglisch
Seiten (von - bis)548-557
Seitenumfang10
FachzeitschriftInternational Journal of Artificial Organs
Jahrgang42
Ausgabenummer10
Frühes Online-Datum3 Juli 2019
PublikationsstatusVeröffentlicht - Okt. 2019

Abstract

Alginate-based hydrogels are extensively used to create bioinks for bioprinting, due to their biocompatibility, low toxicity, low costs, and slight gelling. Modeling of bioprinting process can boost experimental design reducing trial-and-error tests. To this aim, the cross-linking kinetics for the chemical gelation of sodium alginate hydrogels via calcium chloride diffusion is analyzed. Experimental measurements on the absorbed volume of calcium chloride in the hydrogel are obtained at different times. Moreover, a reaction-diffusion model is developed, accounting for the dependence of diffusive properties on the gelation degree. The coupled chemical system is solved using finite element discretizations which include the inhomogeneous evolution of hydrogel state in time and space. Experimental results are fitted within the proposed modeling framework, which is thereby calibrated and validated. Moreover, the importance of accounting for cross-linking-dependent diffusive properties is highlighted, showing that, if a constant diffusivity property is employed, the model does not properly capture the experimental evidence. Since the analyzed mechanisms highly affect the evolution of the front of the solidified gel in the final bioprinted structure, the present study is a step towards the development of reliable computational tools for the in silico optimization of protocols and post-printing treatments for bioprinting applications.

ASJC Scopus Sachgebiete

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Experimental characterization and computational modeling of hydrogel cross-linking for bioprinting applications. / Hajikhani, Aidin; Scocozza, Franca; Conti, Michele et al.
in: International Journal of Artificial Organs, Jahrgang 42, Nr. 10, 10.2019, S. 548-557.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Hajikhani A, Scocozza F, Conti M, Marino M, Auricchio F, Wriggers P. Experimental characterization and computational modeling of hydrogel cross-linking for bioprinting applications. International Journal of Artificial Organs. 2019 Okt;42(10):548-557. Epub 2019 Jul 3. doi: 10.1177/0391398819856024
Hajikhani, Aidin ; Scocozza, Franca ; Conti, Michele et al. / Experimental characterization and computational modeling of hydrogel cross-linking for bioprinting applications. in: International Journal of Artificial Organs. 2019 ; Jahrgang 42, Nr. 10. S. 548-557.
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abstract = "Alginate-based hydrogels are extensively used to create bioinks for bioprinting, due to their biocompatibility, low toxicity, low costs, and slight gelling. Modeling of bioprinting process can boost experimental design reducing trial-and-error tests. To this aim, the cross-linking kinetics for the chemical gelation of sodium alginate hydrogels via calcium chloride diffusion is analyzed. Experimental measurements on the absorbed volume of calcium chloride in the hydrogel are obtained at different times. Moreover, a reaction-diffusion model is developed, accounting for the dependence of diffusive properties on the gelation degree. The coupled chemical system is solved using finite element discretizations which include the inhomogeneous evolution of hydrogel state in time and space. Experimental results are fitted within the proposed modeling framework, which is thereby calibrated and validated. Moreover, the importance of accounting for cross-linking-dependent diffusive properties is highlighted, showing that, if a constant diffusivity property is employed, the model does not properly capture the experimental evidence. Since the analyzed mechanisms highly affect the evolution of the front of the solidified gel in the final bioprinted structure, the present study is a step towards the development of reliable computational tools for the in silico optimization of protocols and post-printing treatments for bioprinting applications.",
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N1 - Funding information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: A.H. and M.M. acknowledge that this work has been carried out within the framework of the SMART BIOTECS alliance between the Technical University of Braunschweig and the Leibniz University of Hannover. This initiative is financially supported by the Ministry of Science and Culture (MWK) of Lower Saxony, Germany. Moreover, F.A., M.C., and F.S. acknowledge the 3D@UniPV Project.

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