Polymer/silica hybrid hollow nanospheres with pH-sensitive drug release in physiological and intracellular environments

2009 ◽  
pp. 2718 ◽  
Author(s):  
Eryun Yan ◽  
Yin Ding ◽  
Changjing Chen ◽  
Rutian Li ◽  
Yong Hu ◽  
...  
Keyword(s):  
Drug Release ◽  
Ph Sensitive ◽  
Hollow Nanospheres ◽  
Silica Hybrid

Enhanced Analytic Approach for Describing pH Triggered Fast Drug Release Systems

2021 ◽  
Vol 18 ◽  
Author(s):  
Aykut Elmas ◽  
Guliz Akyuz ◽  
Ayhan Bergal ◽  
Muberra Andac ◽  
Omer Andac
Keyword(s):  
Drug Release ◽  
Ph Dependence ◽  
Slope Angle ◽  
Ph Sensitive ◽  
Analytic Model ◽  
Two Dimensional ◽  
Analytic Equation ◽  
One Dimensional ◽  
Ph Dependent ◽  
Fast Release

Background: pH sensitive dendrimers attached to nanocarriers, as one of the drug release systems, has become quite popular due to their ease of manufacture in experimental conditions and ability to generate fast drug release in the targeted area. This kind of fast release behavior cannot be represented properly most of the existing kinetic mathematical models. Besides, these models have either no pH dependence or pH dependence added separately. So, they have 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. Then, to combine it with the pH dependent equation for establishing a two-dimensional model for whole system. Methods: We used four common kinetic models for comparison and we fitted them to the release data. Finding that, only Higuchi and Korsmeyer-Peppas models show acceptable fit 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 puroposed a new analytic equation by using relation between the slope angle and time. Result: To add 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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