2016
DOI: 10.1002/adhm.201500728
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Tuning Reaction and Diffusion Mediated Degradation of Enzyme‐Sensitive Hydrogels

Abstract: Enzyme-sensitive hydrogels are promising for cell encapsulation and tissue engineering, but result in complex spatiotemporal degradation behavior that is characteristic of reaction-diffusion mechanisms. An experimental and theoretical approach is presented to identify dimensionless quantities that serve as a design tool for engineering enzyme-sensitive hydrogels with controlled degradation patterns by tuning the initial hydrogel properties and enzyme kinetics.

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Cited by 29 publications
(47 citation statements)
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“…In this study, this front is characterized in two ways: its speed is defined as that of the boundary ( ρ * = β ) that separates the completely degraded and non-degraded gel regions while its width is defined as the distance between the boundary ( ρ = ρ c ) and the point at which ρ * = 0.99. Similar observations are reported both numerically and experimentally in (33). …”
Section: Resultssupporting
confidence: 91%
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“…In this study, this front is characterized in two ways: its speed is defined as that of the boundary ( ρ * = β ) that separates the completely degraded and non-degraded gel regions while its width is defined as the distance between the boundary ( ρ = ρ c ) and the point at which ρ * = 0.99. Similar observations are reported both numerically and experimentally in (33). …”
Section: Resultssupporting
confidence: 91%
“…5d,e) clearly show nonlinear relationships between the hydrogel design and the degradation behavior, but generally suggest that increasing truer~e and κe results in a sharper and faster degradation front. We note here that these results cannot be generalized as different trends may be observed for different values of the network connectivity β (33). A more general understanding of this system may be found by studying the role of β on the width and speed of the degradation front, yielding three-dimensional maps in the (re, κe, β ) space.…”
Section: Resultsmentioning
confidence: 76%
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