硫法马雷在乙二+乙醇溶解剂混合物中的可溶性:热力学和建模
Claudia Patricia Ortiz1, Diego Ivan Caviedes-Rubio2, Fleming Martinez3
1Programa de Administración en Seguridad y Salud en el Trabajo, Grupo de Investigación en Seguridad y Salud en el Trabajo, Corporación Universitaria Minuto de Dios-UNIMINUTO, Neiva 410001, Huila, Colombia.
Molecules (Basel, Switzerland)
|November 27, 2024
概括
硫黄 (SMR) 在乙二和乙醇混合物中的溶解性在9个温度范围内进行了研究. 该研究发现,SMR溶解度是内热和驱动的,预测模型显示高精度.
科学领域:
- 物理化学 物理化学
- 药用化学 医学化学
- 热力学是一种热力学.
背景情况:
- 1945年开发的抗菌剂硫法梅拉 (SMR) 正因细菌耐药性增加而重新获得相关性.
- 尽管有史以来使用,但SMR的毒性导致其被青素部分取代.
- 了解SMR在不同溶剂系统中的热力学行为对于其潜在的复苏至关重要.
研究的目的:
- 为了研究硫法梅拉 (SMR) 在亚二 (MeCN) + 乙醇 (EtOH) 辅溶剂混合物中的溶解度的热力学特性.
- 为了确定SMR溶解度在一系列温度 (278.15318.15 K) 的温度依赖性.
- 评估van't Hoff-Yalkowsky-Roseman模型用于预测SMR溶解性的适用性.
主要方法:
- 使用UV-Vis光谱光度测量测定溶解度,使用摇法.
- 在九种不同的温度下对可溶性数据进行热力学分析.
- 使用范特霍夫-雅尔科夫斯基-罗斯曼热力学模型对溶解度数据的建模.
主要成果:
- 在所有研究的MeCN + EtOH混合物中,SMR的溶解过程被发现是内热的.
- 在278.15K的纯EtOH中发生了最小的SMR溶解度,而在318.15K的纯MeCN中观察到最大的溶解度.
- 解决方案和混合过程都被确定为由驱动的,表明热力学有利性.
结论:
- 在MeCN + EtOH混合物中,SMR的溶解过程是热依赖的,主要由驱动.
- 范特·霍夫-雅尔科夫斯基-罗斯曼模型使用最小的实验数据为SMR溶解度提供了准确的预测 (平均相对偏差为3.9%).
- 这种热力学理解支持在抗微生物药物耐药性挑战的背景下重新评估SMR的潜力.
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