We demonstrate the potential of designing magnetic resonance spectroscopy experiments for investigating electrochemically relevant setups. Up until now, such nuclear magnetic resonance measurements were heavily obstructed by the fact that conductive components interact with magnetic fields. In a new approach, we show that this interaction can be deliberately utilized to achieve a spatially selective measurement of electrochemical environments.

It is shown that proton long-lived states can be observed on benchtop NMR spectrometers in molecules containing short aliphatic chains. The effects of strong coupling between methylene groups can be mitigated by optimizing the amplitude and duration of the excitation pulse.

To measure very weak magnetic resonance signals without new hardware, we changed how data are collected. Rather than one long sweep, we recorded many short, overlapping pieces, cleaned each piece, and then merged them. On standard instruments and equal measuring time, this increased usable signal compared with background by about five to ten times across three test samples, helping reveal details that long averaging can hide.

Magic-angle-spinning NMR is ideal for studying protein structure and dynamics. Introducing fluorine atoms offers advantages due to the excellent NMR properties of ¹⁹F, and the absence of natural fluorine, resulting in clean spectra. However, the slow spin polarization recovery of ¹⁹F causes long recycle delays between scans. We demonstrate that adding paramagnetic co-solutes to solid protein samples largely accelerates these experiments, and we identify optimal conditions for this approach.

We present a framework to simulate nuclear magnetic resonance (NMR) signal enhancement experiments using parahydrogen at ultralow magnetic fields. Our approach captures the full quantum evolution of the system while reducing computational complexity for multi-spin systems through symmetry-based dimensionality reduction. This enables efficient prediction of optimal polarization transfer fields and simulation of the resulting ultralow-field NMR spectra.

We developed a free online tool that helps researchers and students analyze nuclear magnetic resonance signals and extract meaningful information about materials such as foods, plants, and soils. The platform simplifies complex data processing and removes the need for specialized software. Tests with simulated and real data show reliable results, making advanced analysis more accessible for science and education.

Dual bilinear rotations are introduced, which lead to well-defined rotations for both heteronuclear spins I and S that depend on the presence or absence of a (large) coupling between them. It is therefore an extension of conventional bilinear rotations, which cause such a spin-system-dependent rotation only for the spin I. A general derivation of the approach is given and a quadruple J-resolved type experiment is introduced for demonstration.