一个被忽视但无处不在的化物原体:通过计算机辅助设计将二化物结合到 triazolophanes 中
Raghunath O Ramabhadran1, Yun Liu, Yuran Hua
1Department of Chemistry, Indiana University , 800 East Kirkwood Avenue, Bloomington, Indiana 47405, United States.
Journal of the American Chemical Society
|February 25, 2014
概括
研究人员通过计算机辅助设计优化了用于二化物 (HF2(-)) 识别的三醇受体. 这提高了二化物结合亲和力,与化物相匹配,证明了对阴离子受体相互作用的精确控制.
科学领域:
- 超分子化学 超分子化学
- 计算化学的计算化学
- 离子识别 离子识别
背景情况:
- 二化物 (HF2(-)) 在化物结合和传感中起着关键作用,但经常被忽视.
- 了解二化物识别对于开发选择性离子传感器至关重要.
研究的目的:
- 通过计算机辅助设计研究和提高二化物 (HF2(-)) 的识别.
- 系统地修改三醇受体以获得最佳的二化物结合.
主要方法:
- 使用计算机辅助设计和密度函数理论 (DFT) 计算.
- 修改了 triazolophane 腔的形状和键捐赠网络.
- 气相和溶液相结合的亲缘关系使用 (1) H NMR 谱法进行了评估.
主要成果:
- 最初的计算研究预测了对二化物和化物的类似结合亲和力.
- 溶液研究显示,由于离子倾斜,对二化物的结合亲和力显著降低.
- 优化的三醇受体消除了二化物倾斜,实现了K ∼ 10 (6) M -1 的结合亲和力.
- 修改后的受体在气体和溶液阶段对二化物和化物表现出相同的结合亲和力.
结论:
- 计算机辅助设计对于微调阴离子受体特性是有效的.
- 结构和电子修改可以精确控制离子排列和结合强度.
- 开发的三醇受体显示出增强和选择性的二化物识别.
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