• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用UNIFAC基团贡献模型预测非理想多组分体系中的溶解度。

Prediction of solubility in nonideal multicomponent systems using the UNIFAC group contribution model.

作者信息

Ochsner A B, Sokoloski T D

出版信息

J Pharm Sci. 1985 Jun;74(6):634-7. doi: 10.1002/jps.2600740610.

DOI:10.1002/jps.2600740610
PMID:4020650
Abstract

There is a need to identify suitable blends of solvents to dissolve drugs. Empirical approaches, such as trial-and-error and response surface, require several solubility measurements. In this study the UNIFAC method was used to predict solubility in highly nonideal multicomponent systems in which only the solute enthalpy of fusion and melting point must by measured. UNIFAC combines a group contribution approach with the UNIQUAC model for activity coefficients. Parameters characterizing interactions among constituent groups of a molecule have been previously determined from binary vapor pressure data. These tabulated group parameters are used to predict activity coefficients for newly synthesized compounds. These coefficients, together with the ideal solubility, permit a prediction of solubility. The solubility of 4-hexylresorcinol in ethyl acetate, ethyl myristate, and hexane mixtures was both measured and calculated using UNIFAC. The predicted solubilities were within 10% of the experimental solubilities for all but 3 of 21 mixtures. Since the method accounted for positive and negative deviations from ideality in a hydrogen-bonding system of molecules having different sizes, it shows great potential for use in pharmacy.

摘要

需要确定合适的溶剂混合物来溶解药物。经验方法,如试错法和响应面法,需要进行多次溶解度测量。在本研究中,使用UNIFAC方法预测在高度非理想多组分体系中的溶解度,在该体系中仅需测量溶质的熔化焓和熔点。UNIFAC将基团贡献法与用于活度系数的UNIQUAC模型相结合。表征分子组成基团间相互作用的参数先前已从二元蒸气压数据中确定。这些列表化的基团参数用于预测新合成化合物的活度系数。这些系数与理想溶解度一起,可用于预测溶解度。使用UNIFAC测量并计算了4-己基间苯二酚在乙酸乙酯、肉豆蔻酸乙酯和己烷混合物中的溶解度。对于21种混合物中的21种混合物,除了3种混合物外,预测溶解度与实验溶解度的偏差在10%以内。由于该方法考虑了具有不同尺寸的分子的氢键体系中与理想情况的正偏差和负偏差,因此在药学领域显示出巨大的应用潜力。

相似文献

1
Prediction of solubility in nonideal multicomponent systems using the UNIFAC group contribution model.使用UNIFAC基团贡献模型预测非理想多组分体系中的溶解度。
J Pharm Sci. 1985 Jun;74(6):634-7. doi: 10.1002/jps.2600740610.
2
Solubility behavior of phenolic compounds in hexane-ethyl acetate, hexane-ethyl myristate, and hexane-ethyl pivalate cosolvent systems.酚类化合物在己烷 - 乙酸乙酯、己烷 - 肉豆蔻酸乙酯和己烷 - 新戊酸乙酯共溶剂体系中的溶解性行为。
J Pharm Sci. 1981 Nov;70(11):1225-8. doi: 10.1002/jps.2600701111.
3
Extended Hansen solubility approach: naphthalene in individual solvents.扩展的汉森溶解度方法:萘在单一溶剂中的情况
J Pharm Sci. 1981 Nov;70(11):1260-4. doi: 10.1002/jps.2600701120.
4
Predicting the solubility of sulfamethoxypyridazine in individual solvents. I: Calculating partial solubility parameters.预测磺胺甲氧嗪在单一溶剂中的溶解度。I:计算偏溶解度参数。
J Pharm Sci. 1989 Jul;78(7):567-73. doi: 10.1002/jps.2600780712.
5
Extended Hildebrand solubility approach: solubility of tolbutamide, acetohexamide, and sulfisomidine in binary solvent mixtures.扩展的希尔德布兰德溶解度方法:甲苯磺丁脲、醋磺己脲和磺胺异嘧啶在二元溶剂混合物中的溶解度
J Pharm Sci. 1982 Apr;71(4):439-42. doi: 10.1002/jps.2600710416.
6
Prediction of physico-chemical properties for PCs/DFs using the UNIFAC model with an alternative approximation for group assignment.使用带有基团分配替代近似法的UNIFAC模型预测主成分/衍生因子的物理化学性质。
Chemosphere. 2002 Oct;49(2):135-42. doi: 10.1016/s0045-6535(02)00328-4.
7
Solubility of hydrophobic organic pollutants in binary and multicomponent aqueous solvents.疏水性有机污染物在二元和多元水性溶剂中的溶解度。
Environ Sci Technol. 2005 Mar 15;39(6):1623-31. doi: 10.1021/es0490166.
8
Prediction of xanthine solubilities using statistical techniques.使用统计技术预测黄嘌呤的溶解度。
J Pharm Sci. 1985 Feb;74(2):132-5. doi: 10.1002/jps.2600740206.
9
Solubility analysis of buspirone hydrochloride polymorphs: measurements and prediction.盐酸丁螺环酮多晶型物的溶解度分析:测量与预测
Int J Pharm. 2007 Jun 29;338(1-2):55-63. doi: 10.1016/j.ijpharm.2007.01.022. Epub 2007 Jan 20.
10
Solubility and related physicochemical properties of narcotic analgesics.麻醉性镇痛药的溶解度及相关物理化学性质
Pharm Res. 1988 Sep;5(9):580-6. doi: 10.1023/a:1015994030251.

引用本文的文献

1
Predicting absolute aqueous solubility by applying a machine learning model for an artificially liquid-state as proxy for the solid-state.通过应用机器学习模型预测人工液态(作为固态的替代物)的绝对水溶解度。
J Comput Aided Mol Des. 2023 Dec;37(12):765-789. doi: 10.1007/s10822-023-00538-w. Epub 2023 Oct 25.