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 with equal measuring times, this increased usable signal compared with background by about 5 to 10 times across three test samples, helping reveal details that long averaging can hide.

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.

This simulation study compares Fourier transform, wavelet analysis, and direct nonlinear time-domain fitting for stationary, very short, and non-stationary nuclear magnetic resonance (NMR) free induction decay (FID) signals. It examines dynamically broadened signals, point-sampling approximations to finite collection windows, and the capabilities and limitations of wave fitting for parameter estimation from short, relatively simple FID segments.