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Experimental data and thermodynamic modeling of solubility of Azathioprine, as an immunosuppressive and anti-cancer drug, in supercritical carbon dioxide

机译:超临界二氧化碳中Azathioprine溶解度的实验数据和热力学建模,作为免疫抑制和抗癌药物

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The solubility of Azathioprine, as an immunosuppressive and anti-cancer drug, in supercritical carbon dioxide (SC-CO2) was measured for the first time. Under the applied conditions in terms of pressure (120-270 bar) and temperature (308-338 K), mole fractions were obtained in the range of 0.27 x 10(-5) to 1.83 x 10(-5). Three types of methods including (1) two equations of states (EoSs), namely Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK) with vdW2 mixing rule (2) expanded liquid theory (UNIQUAC and modified Wilson models) (3) nine semi-empirical density-based models were selected to correlate the solubility data of drug. Also, two different sets were employed for obtaining critical and physicochemical properties of the solid compound. According to the results, it was found that both EoSs couple with Set1, as an estimation method for critical and physicochemical properties of Azathioprine, were capable of correlating the solubility data of drug in SC-CO2 with the higher accuracy, as compared to Sett. Also, expanded liquid theory is able to provide good predictions of solubility for Azathioprine and SC-CO2 system, this making them suitable alternatives for predicting the solubility of Azathioprine in SC-CO2. Among the semi-empirical models, Reddy and Garlapati, and Sodeifian et al. models produced the best correlation with AARD% of 7.05 and 8.04, respectively. Sodeifian et al. model competes well with Reddy and Garlapati model in solubility estimation. (C) 2019 Elsevier B.V. All rights reserved.
机译:第一次测量偶氮嘌呤作为免疫抑制和抗癌药物的溶解度,作为免疫抑制和抗癌药物,如第一次测量超临界二氧化碳(SC-CO2)。在压力(120-270巴)和温度(308-338k)方面,在0.27×10(-5)至1.83×10(-5)的范围内获得摩尔级分。三种类型的方法包括(1)具有VDW2混合规则(2)扩展液体理论(UNIQUAC和修改威尔逊型号)(即彭 - 罗宾逊(PR),即彭罗宾逊(PR),即Soave-Redlich-Kwong(SRK)的两种方法3)选择九个半经验密度的模型以将药物的溶解度数据相关联。而且,使用两组不同的组用于获得固体化合物的临界和物理化学性质。根据结果​​,发现与Set1的估计方法也能够与AzathioLine的临界和物理化学性质的估计方法相比,能够在SC-CO2中具有更高的精度,与定位相比将药物的溶解度数据与估计方法相关联。此外,膨胀液体理论能够提供诸如唑唑唑和SC-CO2系统的溶解度的良好预测,这使得它们适用于预测偶氮嘌呤在SC-CO2中的溶解度的替代方案。在半经验模型中,Reddy和Garlapati和Sodeifian等人。模型分别产生了与7.05和8.04的AARD%的最佳相关性。 Sodeifian等人。模型与索赔估计中的雷迪和加拉普蒂模型相媲美。 (c)2019 Elsevier B.v.保留所有权利。

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