Foroozandeh Mohammadali, Jeannerat Damien
School of Chemistry, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
Department of Organic Chemistry, University of Geneva, 30 Quai E. Ansermet, 1211, Geneva 4, Switzerland.
Magn Reson Chem. 2015 Nov;53(11):894-900. doi: 10.1002/mrc.4283. Epub 2015 Aug 20.
Resolution enhancement is a long-sought goal in NMR spectroscopy. In conventional multidimensional NMR experiments, such as the (1) H-(13) C HSQC, the resolution in the indirect dimensions is typically 100 times lower as in 1D spectra because it is limited by the experimental time. Reducing the spectral window can significantly increase the resolution but at the cost of ambiguities in frequencies as a result of spectral aliasing. Fortunately, this information is not completely lost and can be retrieved using methods in which chemical shifts are encoded in the aliased spectra and decoded after processing to reconstruct high-resolution (1) H-(13) C HSQC spectrum with full spectral width and a resolution similar to that of 1D spectra. We applied a new reconstruction method, RHUMBA (reconstruction of high-resolution using multiplet built on aliased spectra), to spectra obtained from the differential evolution for non-ambiguous aliasing-HSQC and the new AMNA (additional modulation for non-ambiguous aliasing)-HSQC experiments. The reconstructed spectra significantly facilitate both manual and automated spectral analyses and structure elucidation based on heteronuclear 2D experiments. The resolution is enhanced by two orders of magnitudes without the usual complications due to spectral aliasing.
分辨率增强是核磁共振光谱学中一个长期追求的目标。在传统的多维核磁共振实验中,如(1)H - (13)C HSQC实验,间接维度的分辨率通常比一维光谱低100倍,因为它受到实验时间的限制。减小光谱窗口可以显著提高分辨率,但代价是由于光谱混叠导致频率出现模糊性。幸运的是,这些信息并未完全丢失,可以使用一些方法来检索,在这些方法中,化学位移被编码在混叠光谱中,并在处理后进行解码,以重建具有全光谱宽度且分辨率与一维光谱相似的高分辨率(1)H - (13)C HSQC光谱。我们将一种新的重建方法RHUMBA(基于混叠光谱构建多重峰的高分辨率重建)应用于从用于无模糊混叠 - HSQC的差分演化和新的AMNA(无模糊混叠的附加调制) - HSQC实验获得的光谱。重建后的光谱极大地促进了基于异核二维实验的手动和自动光谱分析以及结构解析。分辨率提高了两个数量级,且没有因光谱混叠而产生的常见复杂情况。