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首页> 外文期刊>Pharmaceutical research >Drug-Polymer Solubility Determination: A New Thermodynamic Model Free from Lattice Theory Assumptions
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Drug-Polymer Solubility Determination: A New Thermodynamic Model Free from Lattice Theory Assumptions

机译:药物 - 聚合物溶解度测定:一种新的热力学模型,没有晶格理论假设

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摘要

Purpose Traditional methods for estimating drug-polymer solubility either require fast dissolution in the polymeric matrix, rapid re-crystallization kinetics from supersaturated states or derive from regular solution theories. In this work, we present a new method for determining drug solubility, purely based on thermodynamic considerations, that uses only experimental data from DSC for calculations. Methods The new thermodynamic model presented combines DSC analysis and application of Hess's law to determine free energies of conversion of binary mixtures to amorphous solid dispersions, free energies of mixing as well as solubility as a function of temperature. The model drug indomethacin and polymers HPMCAS LF, PVP K29/32 and Eudragit EPO were used in these studies. Results Free energies were calculated as a function of temperature, for different drug-polymer compositions and the results show that HPMCAS LF solid dispersion with high drug content are less thermodynamically favorable compared to other polymer systems. Solubility of indomethacin in HPMCAS LF, PVP K29/32 and Eudragit EPO was 24, 55 and 56% w/w, respectively, at 25 degrees C. Conclusions The thermodynamic model presented has great advantages over traditional methods. It does not require estimation of any interaction parameters, it is almost assumption-free and uses only thermal data for calculations.
机译:目的,用于估计药物 - 聚合物溶解度的传统方法需要在聚合物基质中快速溶解,来自超饱和状态的快速重结晶动力学或从规则的溶液理论中获得。在这项工作中,我们提出了一种用于确定药物溶解度的新方法,纯粹基于热力学考虑,仅使用来自DSC的实验数据进行计算。方法采用新的热力学模型结合了DSC分析和应用HESS定律,从而确定二元混合物转化为无定形固体分散体,混合的自由能量以及作为温度的函数的溶解度。在这些研究中使用了模型药物吲哚美辛和聚合物HPMCAS LF,PVP K29 / 32和Eudragit EPO。结果计算为不同的药物 - 聚合物组合物的温度函数,结果表明,与其他聚合物体系相比,具有高药物含量的HPMCA LF固体分散体较小。 Indomethacin在HPMCAs LF中的溶解度分别为24,55和56%w / w,分别为25℃。结论,呈现的热力学模型与传统方法相比具有很大的优势。它不需要估计任何交互参数,它几乎是无假设的,并且仅使用热数据进行计算。

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