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Optimization of Diffusion-Ordered NMR Spectroscopy Experiments for High-Throughput Automation in Human Metabolic Phenotyping

Harvey, Nikita; Takis, Panteleimon G; Lindon, John C; Li, Jia; Jimenez, Beatriz; (2023) Optimization of Diffusion-Ordered NMR Spectroscopy Experiments for High-Throughput Automation in Human Metabolic Phenotyping. Analytical Chemistry , 95 (6) pp. 3147-3152. 10.1021/acs.analchem.2c04066. Green open access

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Abstract

The diffusion-ordered nuclear magnetic resonance spectroscopy (DOSY) experiment allows the calculation of diffusion coefficient values of metabolites in complex mixtures. However, this experiment has not yet been broadly used for metabolic profiling due to lack of a standardized protocol. Here we propose a pipeline for the DOSY experimental setup and data processing in metabolic phenotyping studies. Due to the complexity of biological samples, three experiments (a standard DOSY, a relaxation-edited DOSY, and a diffusion-edited DOSY) have been optimized to provide DOSY metabolic profiles with peak-picked diffusion coefficients for over 90% of signals visible in the one-dimensional 1H general biofluid profile in as little as 3 min 36 s. The developed parameter sets and tools are straightforward to implement and can facilitate the use of DOSY for metabolic profiling of human blood plasma and urine samples.

Type: Article
Title: Optimization of Diffusion-Ordered NMR Spectroscopy Experiments for High-Throughput Automation in Human Metabolic Phenotyping
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1021/acs.analchem.2c04066
Publisher version: http://dx.doi.org/10.1021/acs.analchem.2c04066
Language: English
Additional information: Copyright © 2023 The Authors. Published by American Chemical Society. This publication is licensed under CC-BY 4.0.
Keywords: Science & Technology, Physical Sciences, Chemistry, Analytical, Chemistry, PLASMA, URINE, SERUM
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > UCL School of Pharmacy
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10191669
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