Abstract

A major breakthrough in speed and sensitivity of 2 D spin‐noise‐detected NMR is achieved owing to a new acquisition and processing scheme called “double block usage” (DBU) that utilizes each recorded noise block in two independent cross‐correlations. The mixing, evolution, and acquisition periods are repeated head‐to‐tail without any recovery delays and well‐known building blocks of multidimensional NMR (constant‐time evolution and quadrature detection in the indirect dimension as well as pulsed field gradients) provide further enhancement and artifact suppression. Modified timing of the receiver electronics eliminates spurious random excitation. We achieve a threefold sensitivity increase over the original snHMQC (spin‐noise‐detected heteronuclear multiple quantum correlation) experiment (K. Chandra et al., J. Phys. Chem. Lett. 2013, 4, 3853) and demonstrate the feasibility of spin‐noise‐detected long‐range correlation.

Highlights

  • A major breakthrough in speed and sensitivity of 2 D spinnoise-detected NMR is achieved owing to a new acquisition and processing scheme called “double block usage” (DBU) that utilizes each recorded noise block in two independent crosscorrelations

  • Spin-noise-detected 2 D NMR was introduced as a proof-ofconcept recently.[1]

  • It is based on the phenomenon of nuclear spin noise, which Felix Bloch predicted in 1946 as a consequence of the statistically incomplete cancellation of random fluctuations[2] in finite sized spin ensembles

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Summary

Introduction

A major breakthrough in speed and sensitivity of 2 D spinnoise-detected NMR is achieved owing to a new acquisition and processing scheme called “double block usage” (DBU) that utilizes each recorded noise block in two independent crosscorrelations. Spin-noise-detected 2 D NMR was introduced as a proof-ofconcept recently.[1] It is based on the phenomenon of nuclear spin noise, which Felix Bloch predicted in 1946 as a consequence of the statistically incomplete cancellation of random fluctuations[2] in finite sized spin ensembles.

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