基于太赫兹和拉曼光谱结合DFT计算表征呋喃妥英和尿素共晶结构。

IF 2.9 2区 化学 Q3 CHEMISTRY, PHYSICAL
The Journal of Physical Chemistry B Pub Date : 2025-05-22 Epub Date: 2025-05-08 DOI:10.1021/acs.jpcb.5c01065
Ruizhao Yang, Yun Li, Jianyong Zhou, Liuyu Chen, Qitao Liao, Mao Zhang, Jinglong Li, Binyi Qin, Tinghui Li
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引用次数: 0

摘要

本研究利用太赫兹时域光谱和拉曼光谱对呋喃妥英、尿素和共晶的振动模式进行了表征。结果表明,太赫兹光谱和拉曼光谱都能有效识别共晶和母材,其中太赫兹光谱识别效果更明显。同时,利用密度泛函理论(DFT)模拟了两种药物的四种理论共晶构型的振动模式和结构优化。理论结果与实验结果比较表明,理论构型D与实验结果最为吻合。研究结果为在分子水平上改善特定药物的理化性质和药理活性提供了丰富的药物共晶信息。结果表明,太赫兹和拉曼振动光谱结合计算得到的离散傅立叶变换是分析分子间弱相互作用和表征共晶分子的有效方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of Cocrystal Formation Structure of Nitrofurantoin and Urea Based on Terahertz and Raman Spectroscopy Combined with DFT Calculation.

In this study, the vibrational modes of nitrofurantoin, urea, and cocrystal were characterized by terahertz time domain spectroscopy and Raman spectroscopy. The results indicate that both terahertz and Raman spectroscopy can effectively identify cocrystal and parent materials, with terahertz spectroscopy being more prominent. Meanwhile, the vibrational modes and structural optimization of four theoretical cocrystal configurations of the two drugs were simulated by density functional theory (DFT). Comparing the theoretical results with the experimental results shows that theoretical configuration D is most consistent with the experimental results. The results provide rich information on the pharmaceutical cocrystal to improve the physicochemical properties and pharmacological activities of specific pharmaceuticals at the molecular level. It shows that terahertz and Raman vibrational spectroscopy combined with DFT calculated is an effective method to analyze weak intermolecular interactions and characterize the molecules with cocrystal.

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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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