Abstract
Wavelength-selective photopolymerization employs light at controlled wavelengths to trigger orthogonal photochemical reactions to fabricate multimaterials with unique combinations of building blocks and material properties. Prior wavelength-selective photopolymerization studies mainly focused on modulating the thermomechanical properties of the resulting multimaterials, which are often permanently crosslinked, non-degradable polymer networks. Here, we combine wavelength-selective photopolymerization with dynamic covalent chemistry to fabricate multimaterials with programmable, stimuli-responsive degradability in selected regions. Specifically, this study employs a thiol-acrylate photoresin comprising both wavelength-selective photoinitiators/photosensitizers and dynamic disulfide bonds. Green light irradiation triggers photobase generators to catalyze the thiol-acrylate Michael addition reactions, forming a step-growth polymer network with dynamic disulfide bond-based crosslinks. This green light-cured network can subsequently undergo degradation/decrosslinking by reacting with excess reactive thiols through thiol-disulfide exchange reactions. Meanwhile, UV light irradiation cleaves radical photoinitiators and thus promotes both radical-mediated acrylate homopolymerization and thiol-acrylate addition reactions, forming a permanently crosslinked chain-growth network that cannot be degraded. Promisingly, this thiol-acrylate photoresin can undergo orthogonal wavelength-selective photopolymerization under patterned green- and UV-light irradiation to form crosslinked multimaterials with pre-designed degradable regions, which can be selectively removed to reveal the underlying photomasks’ patterns. Overall, the chemistry demonstrated herein can be used to fabricate complex patterns and hierarchical structures, holding promise for applications ranging from photolithography to 3D printing.
Original language | English |
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Pages (from-to) | 1141-1151 |
Number of pages | 11 |
Journal | Polymer Chemistry |
Volume | 15 |
Issue number | 12 |
DOIs | |
State | Published - Feb 12 2024 |
Externally published | Yes |
Funding
K. Jin and S. Alfarhan acknowledge the startup research funding support provided by the Ira A. Fulton Schools of Engineering at Arizona State University (ASU). K. Jin, J. Nettles, C. Westover, and T. Long acknowledge funding support from the National Science Foundation (NSF; grant number: EFRI E3P 2132183). X. Li acknowledges funding support from the NSF (grant number: CMMI 2114119). S. E. Seo and J. Yu acknowledge Ralph E. Powe Junior Faculty Enhancement Award from the ORAU for partial student support. X. Chen and W. Wang acknowledge funding support from the NSF (grant number: CMMI 2229279) and the ASU-Mayo Seed Grant.