Robust NMR water signal suppression for demanding analytical  applications

Kenwright, Simon J. (Durham University, UK); Aguilar, Juan A. (Durham University, UK); Aguilar, Juan A. (Durham University, UK)

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Robust NMR water signal suppression for demanding analytical applications Open Access

We describe the design and application of robust, general-purpose water signal suppression pulse sequences well suited to chemometric work. Such pulse sequences need to deal well with pulse mis-calibrations, radiation damping, chemical exchange, and the presence of sample inhomogeneities, as well as with significant variations in sample characteristics such as pH, ionic strength, relaxation characteristics and molecular weight. Of course, such pulse sequences should produce un- distorted lineshapes and baselines and work well both under automation and in the hands of non-experts. As an example, one such pulse sequences, Robust-5, will be presented. This new pulse sequence meets those criteria and is able to reduce a 50 M proteo water signal down to a 0.9 mM level, without fiine tuning, and under automation, and it is therefore well suited to the most demanding of analytical applications.

Descriptions

Resource type: Dataset
Contributors: Contact person: Aguilar, Juan A. ¹
Creator: Aguilar, Juan A. ¹
Creator: Kenwright, Simon J. ¹

¹ Durham University, UK
Funder
Research methods: Nuclear Magnetic Resonance
Other description
Keyword: NMR
Nuclear Magnetic Resonance
Solvent signal suppression
Robust
Perfect echo
Subject: Nuclear Magnetic Resonance
Location
Language: English
Cited in
Identifier: doi:10.15128/1831cj937
ark:/32150/1831cj937
Publisher: Durham University
Date Created

File Details

Depositor: J.A. Aguilar Malavia
Date Uploaded: 6 November 2015, 10:11:34
Date Modified: 17 May 2016, 14:05:20
Audit Status: passing
Characterization: File format: x-rar (RAR archive data, v1d, os: Win32, RAR, RAR archive)

Mime type: application/x-rar

File size: 77792096

Last modified: 2015:11:06 10:03:52+00:00

Filename: Robust_5_data.rar

Original checksum: a7fcb33a94c939d860485b17b13a5708

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