Suppr超能文献

通过微波光谱法对手性分子进行对映体特异性检测。

Enantiomer-specific detection of chiral molecules via microwave spectroscopy.

机构信息

Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA.

出版信息

Nature. 2013 May 23;497(7450):475-7. doi: 10.1038/nature12150.

Abstract

Chirality plays a fundamental part in the activity of biological molecules and broad classes of chemical reactions, but detecting and quantifying it remains challenging. The spectroscopic methods of choice are usually circular dichroism and vibrational circular dichroism, methods that are forbidden in the electric dipole approximation. The resultant weak effects produce weak signals, and thus require high sample densities. In contrast, nonlinear techniques probing electric-dipole-allowed effects have been used for sensitive chiral analyses of liquid samples. Here we extend this class of approaches by carrying out nonlinear resonant phase-sensitive microwave spectroscopy of gas phase samples in the presence of an adiabatically switched non-resonant orthogonal electric field; we use this technique to map the enantiomer-dependent sign of an electric dipole Rabi frequency onto the phase of emitted microwave radiation. We outline theoretically how this results in a sensitive and species-selective method for determining the chirality of cold gas-phase molecules, and implement it experimentally to distinguish between the S and R enantiomers of 1,2-propanediol and their racemic mixture. This technique produces a large and definitive signature of chirality, and has the potential to determine the chirality of multiple species in a mixture.

摘要

手性在生物分子和广泛类别的化学反应的活性中起着基本作用,但检测和量化它仍然具有挑战性。首选的光谱方法通常是圆二色性和振动圆二色性,这些方法在电偶极近似下是被禁止的。由此产生的微弱效应产生微弱的信号,因此需要高的样品密度。相比之下,探测电偶极允许效应的非线性技术已被用于对液体样品进行灵敏的手性分析。在这里,我们通过在绝热切换的非共振正交电场存在下对气相样品进行非线性共振相敏微波光谱来扩展这一类方法;我们使用该技术将电偶极拉比频率的与对映体相关的符号映射到发射微波辐射的相位上。我们从理论上概述了如何通过这种方法实现对冷气相分子手性的灵敏和选择性的确定,并通过实验来区分 1,2-丙二醇及其外消旋混合物的 S 和 R 对映体。该技术产生了大而明确的手性特征,并且有可能确定混合物中多种物质的手性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验