The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Exploiting Sequence To Control the Hydrolysis Behavior of Biodegradable PLGA Copolymers
Abstract
Monomer sequence is a potentially powerful but underutilized tool for the control of copolymer properties. Sequence is demonstrated to dramatically affect the hydrolysis profile for the degradation of poly(lactic-co-glycolic acid) (PLGA), a member of the most widely used class of biodegradable polymers employed in biomedical applications. The nearly linear molecular weight loss profile and uniform thermal behavior throughout the course of the hydrolysis differ dramatically from the behavior that is exhibited by random copolymer controls with the same comonomer ratio.
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Citations
Cites
Controlled Ring-Opening Polymerization of Lactide and Glycolide
Dechy-Cabaret, O., Martin-Vaca, B., & Bourissou, D. (2004) · Chemical Reviews · doi:10.1021/cr040002s · Cited by 2,257
Ovitt, T. M., & Coates, G. W. (2002) · Journal of the American Chemical Society · doi:10.1021/ja012052+ · Cited by 713
Effect of acidic pH on PLGA microsphere degradation and release
Zolnik, B. S., & Burgess, D. J. (2007) · Journal of Controlled Release · doi:10.1016/j.jconrel.2007.05.034 · Cited by 560
Allison, S. D. (2008) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.21124 · Cited by 129
Cited by
An Overview of Poly(lactic-co-glycolic) Acid (PLGA)-Based Biomaterials for Bone Tissue Engineering
Gentile, P., Chiono, V., Carmagnola, I., & Hatton, P. (2014) · International Journal of Molecular Sciences · doi:10.3390/ijms15033640 · Cited by 1,593
Lutz, J.-F., Ouchi, M., Liu, D. R., & Sawamoto, M. (2013) · Science · doi:10.1126/science.1238149 · Cited by 1,381
The development and challenges of poly (lactic acid) and poly (glycolic acid)
Jem, K. J., & Tan, B. (2020) · Advanced Industrial and Engineering Polymer Research · doi:10.1016/j.aiepr.2020.01.002 · Cited by 615
Synthesis of biodegradable polymers from renewable resources
Tschan, M. J.-L., Brulé, E., Haquette, P., & Thomas, C. M. (2012) · Polym. Chem. · doi:10.1039/c2py00452f · Cited by 428
Single-chain technology using discrete synthetic macromolecules
Ouchi, M., Badi, N., Lutz, J.-F., & Sawamoto, M. (2011) · Nature Chemistry · doi:10.1038/nchem.1175 · Cited by 386
Iterative exponential growth of stereo- and sequence-controlled polymers
Barnes, J. C., Ehrlich, D. J. C., Gao, A. X., Leibfarth, F. A., Jiang, Y., Zhou, E., Jamison, T. F., & Johnson, J. A. (2015) · Nature Chemistry · doi:10.1038/nchem.2346 · Cited by 361
Gutekunst, W. R., & Hawker, C. J. (2015) · Journal of the American Chemical Society · doi:10.1021/jacs.5b04940 · Cited by 283
Chemoselective Polymerizations from Mixtures of Epoxide, Lactone, Anhydride, and Carbon Dioxide
Romain, C., Zhu, Y., Dingwall, P., Paul, S., Rzepa, H. S., Buchard, A., & Williams, C. K. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.5b13070 · Cited by 258
Transforming polylactide into value‐added materials
Leibfarth, F. A., Moreno, N., Hawker, A. P., & Shand, J. D. (2012) · Journal of Polymer Science Part A: Polymer Chemistry · doi:10.1002/pola.26303 · Cited by 139
Green Copolymers Based on Poly(Lactic Acid)—Short Review
Stefaniak, K., & Masek, A. (2021) · Materials · doi:10.3390/ma14185254 · Cited by 109
Meduri, A., Fuoco, T., Lamberti, M., Pellecchia, C., & Pappalardo, D. (2014) · Macromolecules · doi:10.1021/ma402174y · Cited by 89
Fuoco, T., & Pappalardo, D. (2017) · Catalysts · doi:10.3390/catal7020064 · Cited by 83
Fundamental insights in PLGA degradation from thin film studies
Machatschek, R., & Lendlein, A. (2020) · Journal of Controlled Release · doi:10.1016/j.jconrel.2019.12.044 · Cited by 73
Fang, J., Tschan, M. J.-L., Roisnel, T., Trivelli, X., Gauvin, R. M., Thomas, C. M., & Maron, L. (2013) · Polym. Chem. · doi:10.1039/c2py20590d · Cited by 59
Fernández, J., Larrañaga, A., Etxeberria, A., Wang, W., & Sarasua, J. R. (2014) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.35036 · Cited by 45
Mayer, J. B., Patil, S. M., Shin, S.-H., Yoo, J., & Won, Y.-Y. (2025) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.5c00419 · Cited by 38
Naolou, T., Lendlein, A., & Neffe, A. T. (2016) · European Polymer Journal · doi:10.1016/j.eurpolymj.2016.10.011 · Cited by 17
Metadata
- Authors
- Li, J., Stayshich, R. M., & Meyer, T. Y.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-04-13
- Volume
- 133
- Issue
- 18
- Pages
- 6910-6913
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2331999927
- Cited by
- 249
- References
- 4
- FWCI
- 5.93
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
