4.6 Article

Fourier Transform Infrared Spectroscopy and Vibrational Circular Dichroism Assisted Elucidation of the Solution-State Supramolecular Speciation in Racemic and Enantiopure Ketoprofen

期刊

APPLIED SPECTROSCOPY
卷 76, 期 2, 页码 216-227

出版社

SAGE PUBLICATIONS INC
DOI: 10.1177/00037028211060073

关键词

Ketoprofen; Fourier transform infrared spectroscopy; FT-IR; vibrational circular dichroism; VCD; hydrogen-bonding

资金

  1. Spanish Andalusian Government

向作者/读者索取更多资源

Through studying the molecular structure and solution-state molecular interactions of the non-steroidal anti-inflammatory drug ketoprofen, it has been found that there are linear arrays instead of cyclic dimeric structures in its solution. This observation is important for understanding molecular self-assembly.
The molecular structure and solution-state molecular interactions in the popular non-steroidal anti-inflammatory drug, ketoprofen, are extensively studied with the aim of gaining a better understanding of the chemical behavior of its solution state and its connection to its nucleation pathway and crystallization outcome. Using as reference solid-state X-ray structures of enantiomeric and racemic forms of ketoprofen, a set of self-assembly models underpinned by density functional theory calculations has been considered for the analysis of spectroscopic data, infrared (IR) and vibrational circular dichroism (VCD), obtained for solutions of the samples as a function of composition and solvent. From our results it can be concluded that, contrary to the general belief for generic carboxylic acids, there are no cyclic dimeric structures of ketoprofen present in solution, but rather linear arrays made up of two (in high polar or diluted media) or more units (in low polar or low dilution media). This observation is in line with the idea that the weak contacts (other than H-bonding) would hold the key to molecular self-assembly, in agreement with recent studies on other aromatic carboxylic acids.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据