Literature DB >> 23758289

Determination of drug release kinetics from nanoparticles: overcoming pitfalls of the dynamic dialysis method.

Sweta Modi1, Bradley D Anderson.   

Abstract

Dynamic dialysis is one of the most common methods for the determination of release kinetics from nanoparticle drug delivery systems. Drug appearance in the "sink" receiver compartment is a consequence of release from the nanoparticles into the dialysis chamber followed by diffusion across the dialysis membrane. This dual barrier nature inherent in the method complicates data interpretation and may lead to incorrect conclusions regarding nanoparticle release half-lives. Although the need to consider the barrier properties of the dialysis membrane has long been recognized, there is insufficient quantitative appreciation for the role of the driving force for drug transport across that membrane. Reversible nanocarrier binding of the released drug reduces the driving force for drug transport across the dialysis membrane leading to a slower overall apparent release rate. This may lead to the conclusion that a given nanoparticle system will provide a sustained release in vivo when it will not. This study demonstrates these phenomena using model lipophilic drug-loaded liposomes varying in lipid composition to provide variations in bilayer permeability and membrane binding affinities. Model simulations of liposomal transport as measured by dynamic dialysis were conducted to illustrate the interplay between the liposome concentration, membrane/water partition coefficient, and the apparent release rate. Reliable determination of intrinsic liposomal bilayer permeability coefficients for lipophilic drugs by dynamic dialysis requires validation of drug release kinetics at varying nanoparticle concentration and the determination of membrane binding coefficients along with appropriate mechanism-based mathematical modeling to ensure the reliability and proper interpretation of the data.

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Year:  2013        PMID: 23758289     DOI: 10.1021/mp400154a

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  38 in total

1.  Direct and real-time quantification of tenofovir release from ph-sensitive microparticles into simulated biological fluids using (1)h nuclear magnetic resonance.

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2.  Comparison of Dialysis- and Solvatofluorochromism-Based Methods to Determine Drug Release Rates from Polymer Nanoassemblies.

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4.  Early Development Challenges for Drug Products Containing Nanomaterials.

Authors:  Jennifer H Grossman; Rachael M Crist; Jeffrey D Clogston
Journal:  AAPS J       Date:  2016-09-09       Impact factor: 4.009

5.  Influence of cholesterol on liposome stability and on in vitro drug release.

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Journal:  Drug Deliv Transl Res       Date:  2015-06       Impact factor: 4.617

6.  Release, partitioning, and conjugation stability of doxorubicin in polymer micelles determined by mechanistic modeling.

Authors:  Andrei Ponta; Kyle D Fugit; Bradley D Anderson; Younsoo Bae
Journal:  Pharm Res       Date:  2014-11-19       Impact factor: 4.200

7.  Nanoparticle-in-gel system for delivery of vitamin C for topical application.

Authors:  Sanjukta Duarah; Ramya Devi Durai; VedhaHari B Narayanan
Journal:  Drug Deliv Transl Res       Date:  2017-10       Impact factor: 4.617

8.  Insights into accelerated liposomal release of topotecan in plasma monitored by a non-invasive fluorescence spectroscopic method.

Authors:  Kyle D Fugit; Amar Jyoti; Meenakshi Upreti; Bradley D Anderson
Journal:  J Control Release       Date:  2014-10-25       Impact factor: 9.776

9.  Improving DNA double-strand repair inhibitor KU55933 therapeutic index in cancer radiotherapy using nanoparticle drug delivery.

Authors:  Xi Tian; Haydee Lara; Kyle T Wagner; Srinivas Saripalli; Syed Nabeel Hyder; Michael Foote; Manish Sethi; Edina Wang; Joseph M Caster; Longzhen Zhang; Andrew Z Wang
Journal:  Nanoscale       Date:  2015-11-17       Impact factor: 7.790

10.  Polymer nanoassemblies with solvato- and halo-fluorochromism for drug release monitoring and metastasis imaging.

Authors:  Derek Reichel; Piotr Rychahou; Younsoo Bae
Journal:  Ther Deliv       Date:  2015-10-08
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