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dc.contributor.authorLucero-Acuña, Armando
dc.contributor.authorGutiérrez-Valenzuela, Cindy Alejandra
dc.contributor.authorEsquivel, Reynaldo
dc.contributor.authorGuzmán-Zamudio, Roberto
dc.date.accessioned2022-04-06T20:52:01Z
dc.date.available2022-04-06T20:52:01Z
dc.date.issued2019
dc.identifier.citationLucero-Acuña, A., Gutiérrez-Valenzuela, C. A., Esquivel, R., & Guzmán-Zamudio, R. (2019). Mathematical modeling and parametrical analysis of the temperature dependency of control drug release from biodegradable nanoparticles. RSC advances, 9(16), 8728-8739.en_US
dc.identifier.doi10.1039/c9ra00821g
dc.identifier.urihttp://hdl.handle.net/10150/663894
dc.description.abstractIn this study we describe a mathematical analysis that considers the temperature effects of the controlled drug release process from biodegradable poly-D,L-lactide-co-glycolide (PLGA) nanoparticles. Temperature effects are incorporated and applied to two drug release models. The first one consists of a two-stage release process that considers only simultaneous contributions of initial burst and nanoparticle degradation–relaxation (BR model). The second one is a three release stage model that considers, additionally, a simultaneous drug diffusion (BRD model) step. In these models, the temperature dependency of the release parameters, initial burst constant, kb, the rate of degradation–relaxation constant, kr, time to achieve 50% of release, tmax, and effective diffusion coefficient constant (De), are determined using mathematical expressions analogous to the Arrhenius equation. The temperature dependent models are used to analyze the release of previously encapsulated Rhodamine 6G dye as a model drug in polyethylene glycol modified PLGA nanoparticles. The experimental data used to develop the mathematical model was obtained from release studies carried out in phosphate buffer pH 7.4 at 37 °C, 47 °C, and 57 °C. Multiphasic release behaviors with an overall increase rate associated with the incubation temperature were observed. The study incorporates a parametrical analysis that can evaluate diverse temperature variation effects of the controlled release parameters for the two models.en_US
dc.language.isoenen_US
dc.publisherRoyal Society of Chemistry (RSC)en_US
dc.rightsCopyright © The Author(s). This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/en_US
dc.titleMathematical modeling and parametrical analysis of the temperature dependency of control drug release from biodegradable nanoparticlesen_US
dc.typeArticleen_US
dc.identifier.eissn2046-2069
dc.contributor.departmentUniv Arizona, Dept Chem & Environm Engnen_US
dc.identifier.journalRSC Advancesen_US
dc.description.noteOpen access journalen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleRSC Advances
dc.source.volume9
dc.source.issue16
dc.source.beginpage8728
dc.source.endpage8739
refterms.dateFOA2022-04-06T20:52:02Z


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Copyright © The Author(s). This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
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