Influence the Distributions of Porosity on the Performance of Solubility Functions

Ahmed Al-Husaini
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Abstract

In this research , it was   possible to include the porosity distribution factor among the factors  affecting  solubility  instead  of the  surface area by  developing a mathematical mode which based  on  equations  Owtwald-Freundlich,  Gibbs-Thomson  and  Kaptay’s derivations which one of dependence on the surface area. Two sample of  ammonium perchlorate were applied , the first sample at normal state, and the second model which had changes were made to the surfaces of the particles. The results of the porosity tests for them  were  found  different.  Conducting  a  mathematical  analysis  of  the  results  and introducing  the  pore  distribution  variable.  The  surface  area  of  the  second  model increased by ( 26% ) in which the pore volume size between ( 30-4000) Å. The results indicate that the solubility increased in sample No. (2 ) by (12,28% ) and this is due to the increase in the pore distribution in the second model. in this case the larger surface area in the porosity distribution is the reason for the resulting increase in the solubility value, by the noting of the mechanism  dissolution process which adopted , that can provide an explanation for the increase in it. The  idea of pore distribution can be applied to enhance the quality of drugs through depending it's on the amount of solubility which required in order to perform its function well. For this, the aim of this research was to draw attention to the challenges of solubility measurement and to present new techniques and detection methods that provide more accurate results by introduce the concept of pore size distribution to the particle instead of radii and surface area. It has been applied on ammonium perchlorate and  determine the effective porosity distribution to obtain the best or required solubility based on the results obtained from studying the laboratory-wise  and applying the results to mathematical models that are derived for.
孔隙率分布对溶解度函数性能的影响
在这项研究中,通过开发一种数学模式,将孔隙率分布因素纳入影响溶解度的因素中,而不是表面积,该模式基于奥特沃德-弗赖伦德里希、吉布斯-汤姆森和卡普泰的推导公式,其中一个公式与表面积有关。应用了两个高氯酸铵样品,第一个样品处于正常状态,第二个模型对颗粒表面进行了改变。它们的孔隙率测试结果各不相同。 对结果进行数学分析并引入孔隙分布变量。 结果表明,(2) 号样品的溶解度增加了 (12.28%),这是由于第二个模型中孔隙分布的增加。在这种情况下,孔隙分布中更大的表面积是导致溶解度值增加的原因,注意到所采用的机制溶解过程,可以为溶解度的增加提供解释。孔隙分布的概念可用于提高药物的质量,因为它取决于药物发挥其功能所需的溶解度。因此,这项研究的目的是提请人们注意溶解度测量所面临的挑战,并提出新的技术和检测方法,通过将孔径分布的概念引入颗粒,而不是半径和表面积,来提供更准确的结果。该方法已应用于高氯酸铵,并根据实验室研究得出的结果确定有效孔隙率分布,从而获得最佳或所需的溶解度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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