Degradation mechanisms of bioresorbable polyesters. Part 1. Effects of random scission, end scission and autocatalysis

Gleadall, Andrew; Pan, Jia-Yu; Kruft, Marc-Anton; Kellomäki, Minna

doi:10.1016/j.actbio.2013.12.039

Cited by 117 publications

(90 citation statements)

References 49 publications

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“…2 do not consider the shape of the molecular weight -time curves. As discussed in part 1 [7], the shape depends strongly on the type of hydrolysis. The fittings here must use the correct combination of hydrolysis mechanisms to 1) model the differences between degradation of samples with different initial molecular weights, and 2) model the shape of the molecular weight -time curves.…”

Section: Fitting the Model To Experimental Datamentioning

confidence: 99%

“…The ratio of end scission to random scission therefore increases. If molecular weight reduction is due to random scission and mass loss is due to end scission as suggested in part 1 [7], mass loss may be expected to occur earlier for a lower initial molecular weight. A greater rate of end scission results in more monomers C m and therefore a greater concentration of acid catalyst C acid as given by .…”

Section: The Mathematical Modelmentioning

confidence: 99%

“…Model constants that are used for all simulations in this study, unless otherwise stated, are given in Table 2. As in part 1 [7], an extremely small value of initial monomer is included to begin autocatalytic reactions. This value is not varied in this section in the interest of simplicity but it should be All parameters related to crystallinity are set to zero for amorphous simulations.…”

Section: The Effect Of Initial Molecular Weightmentioning

confidence: 99%

“…The effect of initial molecular weight depends of the type of hydrolysis such as noncatalytic random scission, autocatalytic random scission, noncatalytic end scission or autocatalytic end scission. These hydrolysis mechanisms are discussed in detail in part 1 of this series of papers [7]. The model simulates bulk mass loss as the diffusion of monomers or oligomers out of the polymer.…”

Section: Introductionmentioning

confidence: 99%

“…The initial monomer is not expected to affect degradation that is purely noncatalytic in nature. In this study, the effect of residual monomer is analysed by simulations with the mathematical model detailed in part 1 [7].…”

Section: Introductionmentioning

confidence: 99%

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Degradation mechanisms of bioresorbable polyesters. Part 2. Effects of initial molecular weight and residual monomer

Gleadall

Pan

Kruft³

et al. 2014

Acta Biomaterialia

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Section: Fitting the Model To Experimental Datamentioning

confidence: 99%

Section: The Mathematical Modelmentioning

confidence: 99%

Section: The Effect Of Initial Molecular Weightmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Degradation mechanisms of bioresorbable polyesters. Part 2. Effects of initial molecular weight and residual monomer

Gleadall

Pan

Kruft³

et al. 2014

Acta Biomaterialia

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Mechanistic Computational Modeling of Implantable, Bioresorbable Drug Release Systems

et al. 2023

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Implantable, bioresorbable drug delivery systems offer an alternative to current drug administration techniques; allowing for patient‐tailored drug dosage, while also increasing patient compliance. Mechanistic mathematical modeling allows for the acceleration of the design of the release systems, and for prediction of physical anomalies that are not intuitive and might otherwise elude discovery. This study investigates short‐term drug release as a function of water‐mediated polymer phase inversion into a solid depot within hours to days, as well as long‐term hydrolysis‐mediated degradation and erosion of the implant over the next few weeks. Finite difference methods were used to model spatial and temporal changes in polymer phase inversion, solidification, and hydrolysis. Modeling revealed the impact of non‐uniform drug distribution, production and transport of H+ ions, and localized polymer degradation on the diffusion of water, drug, and hydrolyzed polymer byproducts. Compared to experimental data, the computational model accurately predicted the drug release during the solidification of implants over days and drug release profiles over weeks from microspheres and implants. This work offers new insight into the impact of various parameters on drug release profiles, and is a new tool to accelerate the design process for release systems to meet a patient specific clinical need.This article is protected by copyright. All rights reserved

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Syntheses, characterization, and hydrolytic degradation of P(ε‐caprolactone‐co‐δ‐valerolactone) copolymers: Influence of molecular weight

Loriot

Linossier

Vallée‐Réhel

et al. 2015

J of Applied Polymer Sci

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Degradation mechanisms of bioresorbable polyesters. Part 1. Effects of random scission, end scission and autocatalysis

Cited by 117 publications

References 49 publications

Degradation mechanisms of bioresorbable polyesters. Part 2. Effects of initial molecular weight and residual monomer

Degradation mechanisms of bioresorbable polyesters. Part 2. Effects of initial molecular weight and residual monomer

Mechanistic Computational Modeling of Implantable, Bioresorbable Drug Release Systems

Syntheses, characterization, and hydrolytic degradation of P(ε‐caprolactone‐co‐δ‐valerolactone) copolymers: Influence of molecular weight

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