1st International and 10th National Iranian Conference on Bioinformatics
Home Accepted Papers
Presentation of a mathematical model for describing and predicting the release of methotrexate and sodium valproate from polymer nanogels using finite difference method
Paper ID : 1015-ICB10
Authors:
Pedram Porbaha *1, Amor Azadi2, Ali Akbar Roosta3
1گروه فارماسیوتیکس دانشکده داروسازی دانشگاه علوم‌پزشکی شیراز
21Department of Pharmaceutics, School of Pharmacy, Shiraz University of Medical Sciences
32Department of Chemical Engineering, Faculty of Chemical Engineering, Shiraz University of Technology, Shiraz, Iran
Abstract:
In recent years, nanotechnology have gained a great deal of connection with drug delivery systems. One of the biggest challenges facing scientists in this field is the development and optimization of sustained-release systems. One of the biggest challenges facing scientists in this field is the development model for predicting the Release of the Matrix sustained-released systems. a differential mechanistic model for the drug loaded in the chitosan nanogels using MATLAB software has been presented and an attempt has been made to avoid statistical methods that require costly experiments as much as possible. Then this model was tested on two series of experimental data of nanogels containing sodium valproate and methotrexate and compared with other models in terms of R2 parameters and mean absolute error.It was observed that the proposed model for nanogels containing methotrexate has R2 = 0.958 and the mean absolute error is equal to 10.03% and for nanogels containing sodium valproate has R2 = 0.936 and the mean absolute error is equal to 10.53% and compared to other existing models, was among the models with higher accuracy.In this study, a mechanistic model based on differential relations was obtained and this model was solved in both 1- minimizing liquid concentration and 2- varying liquid concentration and then comparing the results with eight other experimental models. The result showed that the model in the variable state considering the concentration of liquid compared to other models was among the best models in terms of R2 and absolute error percentage.
Keywords:
Mathematical Modeling; Sustained-Released Drug Delivery Systems; Hydrogel; Finite Difference Method; Nanotechnology
Status : Paper Accepted (Poster Presentation)