3D Printable Polylactone/2-hydroxylethyl acrylate Networks with Programmable Mechanical Properties towards Tissue Engineering

Abstract

Photopolymerisation-based 3D printing of biocompatible materials enables the fabrication of highly accurate, customised scaffolds; however, the resulting covalently crosslinked networks typically exhibit fixed mechanical properties. Here, we introduce 3D-printed polyester/acrylate hydrogels with adjustable mechanical properties enabled by chemically orthogonal controlled dual crosslinking. The resin formulation consists of a tetra-cinnamic-acid-functionalised copolyester, poly(valerolactone-co-caprolactone) (P(CL-co-VL)-CA), blended with 2-hydroxyethyl acrylate (HEA) and the radical crosslinker pentaerythritol tetraacrylate (PETA). Owing to the significantly faster photoreactivity of the acrylate groups, printing proceeds via HEA radical polymerisation to form a soft primary network while preserving pendant cinnamic acid functionalities. A secondary network is subsequently introduced through UV-induced [2+2] cycloaddition of the cinnamate groups during post-curing. By controlling the post-printing light exposure time, the extent of P(CL-co-VL)-CA crosslinking, and hence the elastic modulus of the resulting double-network scaffolds, can be tuned from 0.3 to 1.8 MPa without altering the printed dimensions. Both single- and double-crosslinked P(CL-co-VL)-CA/HEA hydrogels supported high levels of cell proliferation. This work demonstrates a versatile strategy for generating, mechanically adaptable 3D objects from a single resin formulation through post-printing modulation.

Supplementary files

Article information

Article type
Paper
Submitted
11 Feb 2026
Accepted
08 May 2026
First published
21 May 2026
This article is Open Access
Creative Commons BY license

RSC Appl. Polym., 2026, Accepted Manuscript

3D Printable Polylactone/2-hydroxylethyl acrylate Networks with Programmable Mechanical Properties towards Tissue Engineering

B. Li, G. Torres, N. Zhao, J. Peters, G. Ji, Q. Thijssen and A. Heise, RSC Appl. Polym., 2026, Accepted Manuscript , DOI: 10.1039/D6LP00051G

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