Imperial College London
Alternate

ProfessorIanWilson

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Visiting Professor
 
 
 
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Contact

 

i.wilson

 
 
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Location

 

311Burlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Plumb:2023:10.1016/j.trac.2023.116954,
author = {Plumb, RS and Gethings, LA and Rainville, PD and Isaac, G and Trengove, R and King, AM and Wilson, ID},
doi = {10.1016/j.trac.2023.116954},
journal = {TrAC Trends in Analytical Chemistry},
pages = {1--9},
title = {Advances in high throughput LC/MS based metabolomics: A review},
url = {http://dx.doi.org/10.1016/j.trac.2023.116954},
volume = {160},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Properly implemented, metabolic and lipidomic profiling can provide a deeper understanding of mammalian, plant and bacterial biology. These omics-tools have developed and matured over the last 40-years and are now being deployed to provide valuable information in epidemiological studies, drug toxicology and pharmacology, disease biology and progression and patient stratification. LC/MS has become the technology of choice for both metabolic and lipid profiling, due to its speed, sensitivity and structural elucidation capabilities. In the preceding two decades there have been many technological and methodological advances in LC/MS that have facilitated the evolution of the technology into a rugged, reliable, and easily deployed tool. These advances include, but are not limited to, improvements in chromatography (phases, columns, and delivery system), instruments for mass spectrometry, optimization of sample preparation, the introduction of ion mobility, data analysis tools, metabolite databases, harmonized protocols, and the more widespread use of quality control methods and reference standards/matrices. Here, recent developments and advances in high throughput liquid chromatography/high resolution mass spectrometry for metabolic phenotyping are described. These advances which may provide improved feature detection, increased laboratory efficiency and data quality, as well as “biomarker” identification, are discussed in relation to their potential application to the analysis of large clinical studies, or biobank collections.
AU  - Plumb,RS
AU  - Gethings,LA
AU  - Rainville,PD
AU  - Isaac,G
AU  - Trengove,R
AU  - King,AM
AU  - Wilson,ID
DO  - 10.1016/j.trac.2023.116954
EP  - 9
PY  - 2023///
SN  - 0165-9936
SP  - 1
TI  - Advances in high throughput LC/MS based metabolomics: A review
T2  - TrAC Trends in Analytical Chemistry
UR  - http://dx.doi.org/10.1016/j.trac.2023.116954
UR  - http://hdl.handle.net/10044/1/103655
VL  - 160
ER  -
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