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Cited by 386

The DOI matches its Crossref record; 237 of the 237 references it cites were found in a registry or an index.

Recent advances of PLGA micro/nanoparticles for the delivery of biomacromolecular therapeutics

Ding, Dawei, Zhu, Qingdi·2018·Materials Science and Engineering: C

Abstract

Recent advancements in biopharmaceutical industry have facilitated the development of novel bioactive macromolecular therapeutics. One of the challenges towards the clinical use of these biomacromolecules lies in the selection of appropriate carriers to protect, deliver and release them in vivo to maximize their pharmacological effects. Micro/nanoparticles made from biodegradable poly (d,l-lactic-co-glycolic acid) (PLGA) have been explored as delivery vehicles for therapeutics. Due to their excellent biocompatibility and controllable biodegradability, PLGA micro/nanoparticles could protect macromolecules from instant degradation in vivo while allowing tunable release rate and profile. In this review, recent progress in the design, fabrication/formulation and application of PLGA based micro/nanoparticles for the controlled delivery of biomacromolecules are discussed. Special focuses will be on the novel loading methods and releasing mechanisms of macromolecules as well as the in vivo applications of therapeutic macromolecule-loaded PLGA micro/nanoparticles.

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Metadata

Authors
Ding, D., & Zhu, Q.
Venue
Materials Science and Engineering: C
Publisher
Elsevier BV
Published
2018-11
Volume
92
Pages
1041-1060
ISSN
0928-4931 (ISSN-L)
OpenAlex
W2782405156
Cited by
386
References
237
FWCI
8.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recent advances of PLGA micro/nanoparticles for the delivery of biomacromolecular therapeutics. https://app.cochat.ai/papers/10.1016/j.msec.2017.12.036
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Ding, D., & Zhu, Q. (2018). Recent advances of PLGA micro/nanoparticles for the delivery of biomacromolecular therapeutics. Materials Science and Engineering: C. https://doi.org/10.1016/j.msec.2017.12.036

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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.