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Cited by 477

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Hydrolytic Degradation and Erosion of Polyester Biomaterials

Open access
Woodard, Lindsay N., Grunlan, Melissa A.·2018·ACS Macro Letters

Abstract

High Resolution Image Download MS PowerPoint Slide Strategies to refine the degradation behavior of polyester biomaterials, particularly to overcome the limitations of slow hydrolytic degradation, would broaden their utility. Herein, we examine the complexities of polyester degradation behavior, its assessment, and strategies for refinement. The factors governing polyester degradation are strikingly complex. In addition to the half-life of the hydrolytically labile bond, a series of interdependent material properties must be considered. Thus, methods used to characterize such material properties, both before and during degradation, must be carefully selected. Assessment of degradation behavior is further complicated by the variability of reported test protocols and the need for accelerated rather than real-time in vitro testing conditions. Ultimately, through better control of degradation behavior and correlation of in vitro, simulated degradation to that observed in vivo, the development of superior devices prepared with polyester biomaterials may be achieved.

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Crossref · 10.1021/acsmacrolett.8b00424

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Metadata

Authors
Woodard, L. N., & Grunlan, M. A.
Venue
ACS Macro Letters
Published
2018-07-30
Volume
7
Issue
8
Pages
976-982
ISSN
2161-1653 (ISSN-L)
OpenAlex
W2885443429
Cited by
477
References
11
FWCI
8.93
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Hydrolytic Degradation and Erosion of Polyester Biomaterials. https://app.cochat.ai/papers/10.1021/acsmacrolett.8b00424
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Woodard, L. N., & Grunlan, M. A. (2018). Hydrolytic Degradation and Erosion of Polyester Biomaterials. ACS Macro Letters. https://doi.org/10.1021/acsmacrolett.8b00424

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.