Rational design and fabrication of multiphasic soft network composites for tissue engineering articular cartilage: A numerical model-based approach

•Composites consisting of a hydrogel matrix and 3D printed microfibers are developed.•An in silico design library based on a numerical model is presented.•The library has good prediction capabilities and can accelerate the design process.•Multiphasic composites that mimic articular cartilage are dev...

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Bibliographic Details
Published in:	Chemical engineering journal (Lausanne, Switzerland : 1996) Vol. 340; pp. 15 - 23
Main Authors:	Bas, Onur, Lucarotti, Sara, Angella, Davide D., Castro, Nathan J., Meinert, Christoph, Wunner, Felix M., Rank, Ernst, Vozzi, Giovanni, Klein, Travis J., Catelas, Isabelle, De-Juan-Pardo, Elena M., Hutmacher, Dietmar W.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15-05-2018
Subjects:	3D printing Articular cartilage Fibers Gelatin methacryloyl Melt electrospinning writing Multiphasic Rational design Soft network composites Soft tissue engineering Soft network composites Rational design Soft tissue engineering Articular cartilage Multiphasic Gelatin methacryloyl Melt electrospinning writing 3D printing Fibers
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Summary:	•Composites consisting of a hydrogel matrix and 3D printed microfibers are developed.•An in silico design library based on a numerical model is presented.•The library has good prediction capabilities and can accelerate the design process.•Multiphasic composites that mimic articular cartilage are developed for validation. [Display omitted] There is an urgent need in the field of soft tissue engineering (STE) to develop biomaterials exhibiting a high degree of biological and mechanical functionality as well as modularity so that they can be tailored according to patient-specific requirements. Recently, biomimetic soft network composites (SNC) consisting of a water-swollen hydrogel matrix and a reinforcing fibrous network fabricated by melt electrospinning writing technology have demonstrated exceptional mechanical and biological properties, thus becoming strong candidates for STE applications. However, there is a lack of design approaches to tailor and optimize their properties in a non-empirical way. To address this challenge, we propose a numerical model-based approach for the rational design of patient-specific SNC for tissue engineering applications. The approach is rooted in an in silico design library that allows for the selection of biomaterial and architecture combinations for the target application, resulting in reduced time, manpower and costs. To demonstrate the validity of the design strategy, a multiphasic SNC with predefined zone-specific properties that captured the complex zonal mechanical and compositional features of articular cartilage was developed based on the natural design of the native tissue.
ISSN:	1385-8947 1873-3212
DOI:	10.1016/j.cej.2018.01.020