Institut des Sciences et Ingénierie Chimiques, and NCCR MARVEL, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.
Angew Chem Int Ed Engl. 2023 May 15;62(21):e202301963. doi: 10.1002/anie.202301963. Epub 2023 Apr 18.
One key bottleneck of solid-state NMR spectroscopy is that H NMR spectra of organic solids are often very broad due to the presence of a strong network of dipolar couplings. We have recently suggested a new approach to tackle this problem. More specifically, we parametrically mapped errors leading to residual dipolar broadening into a second dimension and removed them in a correlation experiment. In this way pure isotropic proton (PIP) spectra were obtained that contain only isotropic shifts and provide the highest H NMR resolution available today in rigid solids. Here, using a deep-learning method, we extend the PIP approach to a second dimension, and for samples of L-tyrosine hydrochloride and ampicillin we obtain high resolution H- H double-quantum/single-quantum dipolar correlation and spin-diffusion spectra with significantly higher resolution than the corresponding spectra at 100 kHz MAS, allowing the identification of previously overlapped isotropic correlation peaks.
固态核磁共振光谱学的一个关键瓶颈是,由于强偶极耦合网络的存在,有机固体的 H NMR 光谱通常非常宽。我们最近提出了一种解决这个问题的新方法。更具体地说,我们将导致残余偶极展宽的误差参数映射到二维,并在相关实验中消除它们。这样就得到了仅包含各向同性位移的纯各向同性质子(PIP)谱,在刚性固体中提供了当今最高的 H NMR 分辨率。在这里,我们使用深度学习方法将 PIP 方法扩展到二维,对于 L-酪氨酸盐酸盐和氨苄青霉素样品,我们获得了高分辨率的 H-H 双量子/单量子偶极相关和自旋扩散谱,其分辨率明显高于 100 kHz MAS 对应的谱,允许识别以前重叠的各向同性相关峰。