ArticleJournal of controlled release : official journal of the Controlled Release Society2022
A predictive mechanistic model of drug release from surface eroding polymeric nanoparticles.
Article in Journal of controlled release : official journal of the Controlled Release Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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The trial behind it
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Who cites it
34 citing papers in PubMed.
- Modeling Bioactive Release from Cyclodextrin Complex-Loaded Polymeric Films: A Unified Theoretical Framework Integrating Host-Guest Thermodynamics, Partitioning, and Multi-Mechanism Transport.AAPS PharmSciTech · 2026Article
- A Rate-Weighted Framework for Diffusion, Swelling, and Erosion in Monolithic Polymeric Devices: Geometry-Unified Analytical Forms and a priori Mechanism Weights from Polymer-Solvent Thermodynamics.Pharmaceutical research · 2026Article
- Design Considerations for Essential Oil Formulations: Emulsification, Encapsulation and Stabilisation Strategies.Pharmaceutics · 2026Review
- Tannic Acid and Copper-Modified ZIF-8 Metal Organic Framework as a Cefotaxime Delivery System for Antimicrobial ActivityTurkish journal of pharmaceutical sciences · 2026Article
- Machine learning reshapes the paradigm of nanomedicine research.Acta pharmaceutica Sinica. B · 2026Review
- Article
- Nanostructured Lipid Carriers Enable In Vivo Efficacy of Parthenolide inPharmaceutics · 2026Article
- Precise Control of Drug Release in Machine Learning-Designed Antibody-Eluting Implants for Postoperative Scarring Inhibition in Glaucoma.Advanced healthcare materials · 2026Article
- Response Surface Optimization of Curcumin Oil-Loaded Dual-Crosslinked PVOH/CMC/Gellan Gum Hydrogels with Controlled Release and Anti-Inflammatory Activity.Gels (Basel, Switzerland) · 2026Article
- Machine learning empowered formulation design, optimization and characterization of nanoparticulate drug delivery systems: Current applications, challenges, and future perspectives.Acta pharmaceutica Sinica. B · 2026Review
- Biomaterials in personalized drug delivery: innovations, challenges, and future directions.PeerJ · 2026Review
- Emerging Technologies and Integrated Interdisciplinary Strategies for Mitigating Protein Aggregation in Therapeutic Formulations.Pharmaceutical research · 2026Review
- Functionalized Core/Shell Gold-Palladium Bimetallic Nanoparticles in Transferrin-Targeted Dual-Drug Delivery in a Cervical Cancer Cell Model.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Artificial Intelligence-Driven Nanoarchitectonics for Smart Targeted Drug Delivery.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Thermoreversible Ionogel for Enhanced Nose-to-brain Delivery of Tetrabenazine Hydrochloride: Optimization by Central Composite Design and In Vitro Ex Vivo Evaluation.AAPS PharmSciTech · 2025Article
- Optimizing delivery in a multivalent subunit influenza vaccine using mixed polymeric microparticle degradation rates.Journal of controlled release : official journal of the Controlled Release Society · 2025Article
- Injectable PLGA-based In Situ Forming Subconjunctival Implant for Sustained Ocular Delivery of Ketotifen Fumarate: Formulation, Drug Release, and Biocompatibility Studies.AAPS PharmSciTech · 2025Article
- Supervised machine learning for predicting drug release from acetalated dextran nanofibers.Biomaterials science · 2025Article
- Terbinafine for prostate cancer: development of coated zein nanospheres for ameliorated pro-apoptosis in PC3 cells.Nanomedicine (London, England) · 2025Article
- Induction of Antigen-Specific Tolerance in a Multiple Sclerosis Model without Broad Immunosuppression.ACS nano · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Effective drug delivery requires ample dosing at the target tissue while minimizing negative side effects. Drug delivery vehicles such as polymeric nanoparticles (NPs) are often employed to accomplish this challenge. In this work, drug release of numerous drugs from surface eroding polymeric NPs was evaluated in vitro in physiologically relevant pH 5 and neutral buffers. NPs were loaded with paclitaxel, rapamycin, resiquimod, or doxorubicin and made from an FDA approved polyanhydride or from acetalated dextran (Ace-DEX), which has tunable degradation rates based on cyclic acetal coverage (CAC). By varying encapsulate, pH condition, and polymer, a range of distinct drug release profiles were achieved. To model the obtained drug release curves, a mechanistic mathematical model was constructed based on drug diffusion and polymer degradation. The resulting diffusion-erosion model accurately described drug release from the variety of surface eroding NPs. For drug release from varied CAC Ace-DEX NPs, the goodness of fit of the developed diffusion-erosion model was compared to several conventional drug release models. The diffusion-erosion model maintained optimal fit compared to conventional models across a range of conditions. Machine learning was then employed to estimate effective diffusion coefficients for the diffusion-erosion model, resulting in accurate prediction of in vitro release of dexamethasone and 3'3'-cyclic guanosine monophosphate-adenosine monophosphate from Ace-DEX NPs. This predictive modeling has potential to aid in the design of future Ace-DEX formulations where optimized drug release kinetics can lead to a desired therapeutic effect.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.