文献检索

查找使用阿拉丁产品的科研文献

检索与阿拉丁产品相关的同行评审论文、DOI、PubMed 编号、期刊、作者、CAS 号及研究领域。

科研影响力快照

与阿拉丁产品相关的已发表科研成果

在搜索之前,这些指标可帮助访客快速了解产品关联科研的规模与质量。

346,364+ SCI 论文 与阿拉丁产品引用相关
2,295,288.15 总影响因子 匹配文献记录中影响因子的总和
81.20 最高期刊影响因子 匹配期刊中的最高 IF
6.63 平均期刊影响因子 匹配文献的平均 IF

参考指标 指标基于阿拉丁文献引用数据库及期刊影响因子记录。文献关联仅供科研参考,请以原始文献为准。

热门产品

视图 列表 网格

2 项

设置提升方向
PC-SAFT模型
FLUID PHASE EQUILIBRIA · 2023 · IF 2.6

Thermodynamic modeling procedure for modeling viscosity of polymer solutions

Long Cheng,Weikang Fan,Yuanhui Ji

In this work, the density and viscosity of five commonly used polymer aqueous solutions with a concentration range of 1–35 wt%, including polyvinylpyrrolidone (PVP) K25, PVP K30, PVP K90, polyethylene glycol (PEG) 6000 and hydroxypropyl methyl cellulose (HPMC), were determined at 293.15–313.15 K. The viscosity data were modeled by Simplified-Eyring-NRTL, Eyring-PC-SAFT and Simplified-Eyring-PC-SAFT models. Based on the correlation between the viscosity and the surface area fraction of solute and solvent, the Theta-Eyring-PC-SAFT model was proposed. The model had the best fitting effect on the viscosity data of PEG, PVP K25, PVP K30, PVP K90 and HPMC, and the correlation coefficients R 2 were 0.9998, 0.9988, 0.9995, 0.9999 and 0.9999, respectively. In addition, the viscosity data of other systems in the literatures were also fitted, and the R 2 values were all greater than 0.9900, which proved that the Theta-Eyring-PC-SAFT model was universal.

CAS / MDL: 9004-65-3 25322-68-3
研究领域: 化学工程 · 高分子科学 · 热力学
✓ 已验证 产品关联 DOI 高影响因子
查看原文 查看 PubMed
FLUID PHASE EQUILIBRIA · 2023 · IF 2.6

Modeling and prediction of thermodynamic phase behaviors of oxaprozin and irbesartan in biorelevant media

Yingying Jiang,Kai Ge,Yuanhui Ji

The in vitro solubility of poorly water-soluble drugs is one of the key parameters required for the development of the oral delivery system, but the determination of the solubility often relies on extensive experiments, which are time-consuming and costly. Therefore, it is meaningful to accurately model and predict the solubility of drugs in biorelevant media. Two insoluble drugs, oxaprozin and irbesartan , were selected and their solubilities in surfactant solutions, buffer solutions and biorelevant media were measured in this work. The thermodynamic phase behaviors of oxaprozin and irbesartan were modeled and predicted using Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) combined with pH-dependent and micellar solubilization models. The good agreement between the experimental results and the predicted values indicates the success of the model predictions, which provides the solubility database and good theoretical guidance for drug development and formulation selection.

CAS / MDL: 7558-80-7
研究领域: 药学 · 物理化学
✓ 已验证 产品关联 DOI 高影响因子
查看原文 查看 PubMed
已复制

文献关联基于可获得的产品、CAS、DOI 及引用记录。收录不代表作者或出版方对阿拉丁产品的背书,请以原始文献为准。