Recent  

The magic angle spinning (MAS) technique of solid state NMR requires samples to be rapidly rotated within a magnetic field. The rotation rate speed record is 150 kHz, or 9 million RPM, and hence MAS turbines hold the world rotation speed record for extended objects. The containers holding the samples are made of the strongest materials known, to be able to withstand the excessive centrifugal forces. To overcome the speed limit, this paper delineates a way to do so using an optical tweezers setup

In this work, we study the relaxivity of long-lived states (LLS) excited across two to three CH₂ groups in 4 different compounds and find that commonly used polarising agent in dissolution-dynamic nuclear polarization (d-DNP) does not enhance relation significantly. This result is important for future implementation of d-DNP hyperpolarization of LLS.

The 20 genetically encoded amino acids provide the basis for most proteins and peptides that make up the machinery of life. This limited repertoire is vastly expanded by the introduction of non-canonical amino acids (ncAAs). To study the structure of a protein containing an ncAA requires new computational representation that are compatible with existing modelling software. We have developed an online tool for this, to aid future structural studies of this class of complex biopolymers.

Recent advances in machine learning have opened new opportunities toward the automated analysis and spectral reconstruction of highly complex NMR spectra, including ones encountered in metabolomics. We demonstrate the combined power of the deep neural network “DEEP Picker 1D” and “Voigt Fitter1D” software for the quantitative streamlined analysis of 1D 1H NMR spectra extending the reach of a wide range of NMR applications.

Light-induced pulsed dipolar EPR spectroscopy (PDS) is an emerging field that uses photoexcited triplet states to determine distance restraints in the nanometer range. So far, light-induced PDS data have been analyzed with methods that were developed for techniques that do not invoke triplets. Here, we provide a new theoretical description that takes the full nature of the triplet state into account and demonstrate that it leads to more accurate fits of experimental data.

R-PDLF NMR spectroscopy is a powerful method to obtain molecular structural information from biological membrane models. However, the conventional analysis of the experiments relies on a Fourier transform in the indirect time domain preventing its application to complex samples. We propose a new methodology, namely to fit the indirect time-domain with simulations that account for RF inhomogeneity, making possible to study far more complex biological membranes than what has been done previously.

This Tutorial Paper shows how to simulate NMR spectra at zero- ultra low-field. The process is presented in detail, including the tricks that are usually omitted from research papers and assuming as little prior knowledge from the reader as possible. In this attempt to make NMR simulation approachable, the authors wish to pay a tribute to the late Prof. Konstantin L’vovich Ivanov.