Zhukov Ivan V, Kiryutin Alexey S, Ferrage Fabien, Buntkowsky Gerd, Yurkovskaya Alexandra V, Ivanov Konstantin L
International Tomography Center SB RAS, Novosibirsk 630090, Russia.
Novosibirsk State University, Novosibirsk 630090, Russia.
J Phys Chem Lett. 2020 Sep 3;11(17):7291-7296. doi: 10.1021/acs.jpclett.0c02032. Epub 2020 Aug 20.
Multidimensional nuclear magnetic resonance (NMR) is based on a combination of well-established building blocks for polarization transfer. These blocks are used to design correlation experiments through one or a few chemical bonds or through space. Here, we introduce a building block that enables polarization transfer across all NMR-active nuclei in a coupled network of spins: isotropic mixing at zero and ultralow field (ZULF). Exploiting mixing under ZULF-NMR conditions, heteronuclear TOtal Correlation SpectroscopY (TOCSY) experiments were developed to highlight coupled spin networks. We demonstrate H-C and H-N correlations in ZULF-TOCSY spectra of labeled amino acids, which allow one to obtain cross-peaks among all heteronuclei belonging to the same coupled network, even when the direct interaction between them is negligible. We also demonstrate the potential of ZULF-TOCSY to analyze complex mixtures on a growth medium of isotope-labeled biomolecules. ZULF-TOCSY enables the quick identification of individual compounds in the mixture by their coupled spin networks. The ZULF-TOCSY method will lead to the development of a new toolbox of experiments to analyze complex mixtures by NMR.
多维核磁共振(NMR)基于用于极化转移的成熟构建模块的组合。这些模块用于设计通过一个或几个化学键或通过空间的相关实验。在此,我们介绍一种构建模块,它能够在自旋耦合网络中的所有NMR活性核之间实现极化转移:零场和超低场(ZULF)下的各向同性混合。利用ZULF-NMR条件下的混合,开发了异核全相关谱(TOCSY)实验以突出耦合自旋网络。我们在标记氨基酸的ZULF-TOCSY谱中展示了H-C和H-N相关性,这使得即使属于同一耦合网络的所有异核之间的直接相互作用可忽略不计,也能够获得它们之间的交叉峰。我们还展示了ZULF-TOCSY在分析同位素标记生物分子生长培养基上的复杂混合物方面的潜力。ZULF-TOCSY能够通过其耦合自旋网络快速识别混合物中的单个化合物。ZULF-TOCSY方法将推动开发一套新的实验工具箱,用于通过NMR分析复杂混合物。