Recently there have been attempts to improve sensitivity of pure shift experiments, including partial data acquisition schemes using non-uniform sampling (NUS), with either conventional processing or processing with deep learning, as well as Hadamard transformations. Incorporating these fast-sampling strategies in the conventional pure shift NMR experiments, such as PSYCHE and Zangger-Sterk (ZS), partially recovers the signal sensitivities per unit experimental times. The recent advent of hyperpolarisation signal enhancement in the dissolution phase has also been explored to improve the spectral sensitivity of pure shift NMR spectra. A few other techniques focus on multi-slice excitation, and frequency shifting to improve the signal sensitivity of broadband decoupled spectra.