Application of Thermodynamic Models to Predict the Solubility of Biologically Active Substances

Q3 Pharmacology, Toxicology and Pharmaceutics
K. S. Stepanov, G. N. Turmanidze, V. V. Sorokin, A. D. Sakharov
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引用次数: 0

Abstract

Introduction. The choice of solvents for the processes of extraction of biologically active substances from natural raw materials, the processes of purification of natural and synthesized substances by extraction, crystallization and dissolution methods is an important problem of the modern pharmaceutical industry, because a large number of experiments must be performed to determine the optimal solvent or mixture of solvents. To reduce the cost of developing and optimizing the extraction and purification of substances stages, it is proposed to use thermodynamic models at the stage of preliminary solubility assessment. The article investigates predicting the solubility of pharmaceutical substances issue on the example of the technology for isolating hesperidin and glycyrrhizic acid from plant materials. Aim. Theoretical determination of the dissolving power of various solvents with respect to hesperidin and glycyrrhizic acid. Materials and methods. The PMUNIFAC and NRTL-SAC thermodynamic models were used to predict solubility. The solubility calculation for the NRTL-SAC model was performed using Aspen Properties V14 software, and for the PMUNIFAC model using PTC Mathcad Prime V6. To evaluate the results obtained using thermodynamic models, a number of experiments were carried out, the object of which was the peel of an orange (dried flavedo and albedo, the degree of grinding is 0.2–0.5 mm, the moisture content is 8 %). The quantitative content of hesperidin was determined by direct spectrophotometry at a wavelength of 290 nm. Statistical data processing was performed using Minitab v20 software (Minitab Inc., USA), differences were considered statistically significant at p < 0.05. Results and discussion. On the basis of thermodynamic models, the prediction of the solubility of hesperidin and glycyrrhizic acid was made. It has been shown that the solubility can be assessed both in the presence of solubility data according to the NRTL-SAC model, and in their complete absence according to PMUNIFAC. The correspondence of the theoretically calculated data to the experimental data confirms the correctness of the calculations of thermodynamic models. The results of the calculations are evaluated and solvents are recommended that can be used in the technology of isolating hesperidin and glycyrrhizic for the stages of degreasing, extraction and crystallization with the antisolvent. Conclusion. Using the NRTL-SAC and PMUNIFAC thermodynamic models, the dissolving power of various solvents with respect to hesperidin and glycyrrhizic acid was determined. From the calculation results, a list of solvents was built, ranked by the solubility of the studied substances in them. The resulting list can be used in the development of an industrial technology for the isolation and purification of hesperidin and glycyrrhizic acid. It is shown that the NRTL-SAC and PMUNIFAC models have good prospects for quantitative prediction of the solubility of active substances.
应用热力学模型预测生物活性物质的溶解度
介绍。从天然原料中提取生物活性物质的过程中溶剂的选择,通过提取、结晶和溶解方法纯化天然和合成物质的过程是现代制药工业的一个重要问题,因为必须进行大量的实验来确定最佳溶剂或溶剂混合物。为了减少开发和优化物质萃取和纯化阶段的成本,建议在初步溶解度评估阶段使用热力学模型。本文以从植物原料中分离橙皮苷和甘草酸的工艺为例,探讨了预测原料药溶解度的问题。的目标。各种溶剂对橙皮苷和甘草酸溶解力的理论测定。材料和方法。采用PMUNIFAC和NRTL-SAC热力学模型预测溶解度。NRTL-SAC模型的溶解度计算使用Aspen Properties V14软件,PMUNIFAC模型的溶解度计算使用PTC Mathcad Prime V6软件。为了评价利用热力学模型得到的结果,进行了一系列实验,实验对象为橙子皮(干燥的黄度和反照率,研磨程度为0.2-0.5 mm,含水量为8%)。采用直接分光光度法在波长290 nm处测定橙皮苷的含量。使用Minitab v20软件(Minitab Inc., USA)进行统计数据处理,p <认为差异具有统计学意义;0.05. 结果和讨论。在热力学模型的基础上,预测了橙皮苷与甘草酸的溶解度。结果表明,根据NRTL-SAC模型,在存在溶解度数据时,可以评估溶解度,根据PMUNIFAC模型,在完全没有溶解度数据时,也可以评估溶解度。理论计算数据与实验数据的一致性证实了热力学模型计算的正确性。对计算结果进行了评价,并推荐了抗溶剂分离橙皮苷和甘草酸的脱脂、提取和结晶阶段所使用的溶剂。结论。采用NRTL-SAC和PMUNIFAC热力学模型,测定了各种溶剂对橙皮苷和甘草酸的溶解力。根据计算结果,根据所研究物质在其中的溶解度,建立了溶剂列表。所得清单可用于开发橙皮苷和甘草酸的分离纯化工业技术。结果表明,NRTL-SAC和PMUNIFAC模型在定量预测活性物质溶解度方面具有良好的应用前景。
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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来源期刊
Drug Development and Registration
Drug Development and Registration Pharmacology, Toxicology and Pharmaceutics-Pharmaceutical Science
CiteScore
1.20
自引率
0.00%
发文量
61
审稿时长
8 weeks
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