Solubility of Perindopril l-Arginine in 10 Pure Solvents and 3 Binary Solvents from 278.15 to 323.15 K

IF 2 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY
Hongchen Cao, Yuntian Xiao, Yongkang Liu, Ling Zhou* and Qiuxiang Yin*, 
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引用次数: 0

Abstract

The solubility of Perindopril l-Arginine was measured in ten pure solvents (water, methanol, ethanol, methyl ethyl ketone, isopropyl acetate, ethyl acetate, isobutyl acetate, n-propyl acetate, methyl tert-butyl ether, and methylcyclohexane) as well as in three binary solvent mixtures (methyl tert-butyl ether-water, methyl tert-butyl ether-methanol, and methyl tert-butyl ether-ethanol). These measurements were conducted using isothermal methods of the dynamic method across a temperature range of 278.15 to 323.15 K at a pressure of 0.1 MPa. The solubility data in pure solvents were analyzed using the modified Apelblat equation, Yaws equation, and Van’t Hoff equation. For the binary solvent mixtures, the data were correlated by using the improved Apelblat equation, the CNIBS/R-K model, and the Apelblat–Jouyban–Acree model. The calculated results from these models showed high agreement with the experimental data, confirming the reliability of these models.

Abstract Image

佩林多普利-精氨酸在 278.15 至 323.15 K 的 10 种纯溶剂和 3 种二元溶剂中的溶解度
甲基叔丁基醚和甲基环己烷)以及三种二元溶剂混合物(甲基叔丁基醚-水、甲基叔丁基醚-甲醇和甲基叔丁基醚-乙醇)中进行。这些测量是在 0.1 兆帕的压力下,在 278.15 至 323.15 K 的温度范围内采用动态等温法进行的。纯溶剂中的溶解度数据采用修正的 Apelblat 方程、Yaws 方程和 Van't Hoff 方程进行分析。对于二元溶剂混合物,使用改进的 Apelblat 方程、CNIBS/R-K 模型和 Apelblat-Jouyban-Acree 模型对数据进行了相关分析。这些模型的计算结果与实验数据高度一致,证实了这些模型的可靠性。
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来源期刊
Journal of Chemical & Engineering Data
Journal of Chemical & Engineering Data 工程技术-工程:化工
CiteScore
5.20
自引率
19.20%
发文量
324
审稿时长
2.2 months
期刊介绍: The Journal of Chemical & Engineering Data is a monthly journal devoted to the publication of data obtained from both experiment and computation, which are viewed as complementary. It is the only American Chemical Society journal primarily concerned with articles containing data on the phase behavior and the physical, thermodynamic, and transport properties of well-defined materials, including complex mixtures of known compositions. While environmental and biological samples are of interest, their compositions must be known and reproducible. As a result, adsorption on natural product materials does not generally fit within the scope of Journal of Chemical & Engineering Data.
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