ArticlePloS one2022
Comparative statistical analysis of the release kinetics models for nanoprecipitated drug delivery systems based on poly(lactic-co-glycolic acid).
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.
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Who cites it
76 citing papers in PubMed.
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- Development of a Sacha Inchi Oil-Based Nanoemulsion Containing Mangosteen Pericarp Extract and Its Antioxidant Activity.Pharmaceutics · 2026Article
- Review
- Predicting drug release from polymeric long-acting injectables using a machine learning approach to decode formulation-performance relationships.Drug delivery and translational research · 2026Article
- Development and in vitro evaluation of teicoplanin PEGylated (TEC-PEGylated) niosomes for antimicrobial and anti-biofilm activity against vancomycin-intermediate Staphylococcus aureus (VISA).BMC biotechnology · 2026Article
- Analysis of the Anti-inflammatory Effects of a Delivery System Based on Alginate Hydrogels Enriched with Bioactive Compounds from Marine Sponge Dysidea robusta.Applied biochemistry and biotechnology · 2026Article
- Response0 surface guided design of lipid-polymer hybrid nanoparticles for dual delivery of rosuvastatin and ezetimibe.Discover nano · 2026Article
- Molecular and physicochemical arrangement of chitosan-ibuprofen matrices for topical drug delivery on skin: preparation impact.RSC advances · 2026Article
- Bovine Colostrum-Derived Lactoferrin Nanoparticles as a Novel Platform for Improved Pulmonary Delivery of Osimertinib.Cell biochemistry and biophysics · 2026Article
- Porous Coatings by Vapor Sublimation and Deposition for Molecular Channeling and Filtration in an Interstitial Fluid Microfiltration Device.Advanced healthcare materials · 2026Article
- Comparative Kinetic Modeling and Mathematical Analysis of Monoterpene Release from Nanocarrier Systems.AAPS PharmSciTech · 2026Article
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- Oleic Acid-Coated Zinc Ferrite Nanocubes: A Promising Nanocarrier for Neuroblastoma Therapy.ACS omega · 2026Article
- Smart Nanoformulations for Oncology: A Review on Overcoming Biological Barriers with Active Targeting, Stimuli-Responsive, and Controlled Release for Effective Drug Delivery.Pharmaceutics · 2026Review
- The Crucial Role of Noncovalent Interactions in PLGA Nanoparticles: Impact on Carvacrol/ACS omega · 2026Article
- Plant-derived extracellular vesicles for itraconazole delivery across the blood-brain barrier for potential glioblastoma treatment.Scientific reports · 2026Article
- Quantification and Engineering of Lipid Nanocapsule Formulations for the Delivery of Niclosamide as an Anti-Cancer Drug.Current pharmaceutical design · 2026Article
- Advancing Drug Delivery with Biodegradable Molecularly Imprinted Polymers: From Design to Clinical Prospects.Drug design, development and therapy · 2026Review
16 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Poly(lactic-co-glycolic acid) is one of the most used polymers for drug delivery systems (DDSs). It shows excellent biocompatibility, biodegradability, and allows spatio-temporal control of the release of a drug by altering its chemistry. In spite of this, few formulations have reached the market. To characterize and optimize the drug release process, mathematical models offer a good alternative as they allow interpreting and predicting experimental findings, saving time and money. However, there is no general model that describes all types of drug release of polymeric DDSs. This study aims to perform a statistical comparison of several mathematical models commonly used in order to find which of them best describes the drug release profile from PLGA particles synthesized by nanoprecipitation method. For this purpose, 40 datasets extracted from scientific articles published since 2016 were collected. Each set was fitted by the models: order zero to fifth order polynomials, Korsmeyer-Peppas, Weibull and Hyperbolic Tangent Function. Some data sets had few observations that do not allow to apply statistic test, thus bootstrap resampling technique was performed. Statistic evidence showed that Hyperbolic Tangent Function model is the one that best fit most of the data.
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