Abstract
Background: pH sensitive dendrimers attached to nanocarriers, as one of the drug release systems, have become quite popular due to their ease of manufacture in experimental conditions and the ability to generate fast drug release in the targeted area. This kind of fast release behavior cannot be represented properly in most of the existing kinetic mathematical models. Besides, these models have either no pH dependence or pH dependence added separately. Therefore, they remained one dimensional.
Objective: The aim of this study was to establish the proper analytic equation to describe the fast release of drugs from pH sensitive nanocarrier systems, and to combine it with the pH dependent equation for to establish a two-dimensional model for whole system.
Methods: We used four common kinetic models for the comparison and we fitted them to the release data. As a result, only Higuchi and Korsmeyer-Peppas models show acceptable suitable results. None of these models have pH dependence. To get a better description for pH triggered fast release, we observed the behavior of the slope angle of the release curve. Then we proposed a new analytic equation by using relation between the slope angle and time.
Result: By adding a pH dependent equation, we assumed the drug release is “on” or “off” above/below specific pH value and we modified a step function to get a desired behavior.
Conclusion: Our new analytic model shows good fitting, not only one-dimensional time dependent release, but also two-dimensional pH dependent release, that provides a useful analytic model to represent release profiles of pH sensitive fast drug release systems.
Keywords: Drug release, drug delivery, mathematical modeling, controlled release, pH, blood circulation.
Current Drug Delivery
Title:Enhanced Analytic Approach for Describing pH Triggered Fast Drug Release Systems
Volume: 18 Issue: 8
Author(s): Aykut Elmas*, Guliz Akyuz, Ayhan Bergal, Muberra Andac and Omer Andac
Affiliation:
- Department of Nanoscience and Nanotechnology, Ondokuz Mayis University, Kurupelit, 55139 Samsun,Turkey
Keywords: Drug release, drug delivery, mathematical modeling, controlled release, pH, blood circulation.
Abstract:
Background: pH sensitive dendrimers attached to nanocarriers, as one of the drug release systems, have become quite popular due to their ease of manufacture in experimental conditions and the ability to generate fast drug release in the targeted area. This kind of fast release behavior cannot be represented properly in most of the existing kinetic mathematical models. Besides, these models have either no pH dependence or pH dependence added separately. Therefore, they remained one dimensional.
Objective: The aim of this study was to establish the proper analytic equation to describe the fast release of drugs from pH sensitive nanocarrier systems, and to combine it with the pH dependent equation for to establish a two-dimensional model for whole system.
Methods: We used four common kinetic models for the comparison and we fitted them to the release data. As a result, only Higuchi and Korsmeyer-Peppas models show acceptable suitable results. None of these models have pH dependence. To get a better description for pH triggered fast release, we observed the behavior of the slope angle of the release curve. Then we proposed a new analytic equation by using relation between the slope angle and time.
Result: By adding a pH dependent equation, we assumed the drug release is “on” or “off” above/below specific pH value and we modified a step function to get a desired behavior.
Conclusion: Our new analytic model shows good fitting, not only one-dimensional time dependent release, but also two-dimensional pH dependent release, that provides a useful analytic model to represent release profiles of pH sensitive fast drug release systems.
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Cite this article as:
Elmas Aykut *, Akyuz Guliz , Bergal Ayhan , Andac Muberra and Andac Omer , Enhanced Analytic Approach for Describing pH Triggered Fast Drug Release Systems, Current Drug Delivery 2021; 18 (8) . https://dx.doi.org/10.2174/1567201818999210112181853
DOI https://dx.doi.org/10.2174/1567201818999210112181853 |
Print ISSN 1567-2018 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5704 |
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