Imperial College London
Alternate

Dr Elizabeth Want

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 3023e.want

 
 
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Location

 

E315CBurlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Want:2018:10.1007/978-1-4939-7643-0_7,
author = {Want, EJ},
doi = {10.1007/978-1-4939-7643-0_7},
journal = {Methods Mol Biol},
pages = {99--116},
title = {LC-MS Untargeted Analysis.},
url = {http://dx.doi.org/10.1007/978-1-4939-7643-0_7},
volume = {1738},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - LC-MS untargeted analysis is a valuable tool in the field of metabolic profiling (metabonomics/metabolomics), and the applications of this technology have grown rapidly over the past decade. LC-MS offers advantages over other analytical platforms such as speed, sensitivity, relative ease of sample preparation, and large dynamic range. As with any analytical approach, there are still drawbacks and challenges to overcome, but advances are constantly being made regarding both column chemistries and instrumentation. There are numerous untargeted LC-MS approaches which can be used in this ever-growing research field; these can be optimized depending on sample type and the nature of the study or biological question. Some of the main LC-MS approaches for the untargeted analysis of biological samples will be described in detail in the following protocol.
AU  - Want,EJ
DO  - 10.1007/978-1-4939-7643-0_7
EP  - 116
PY  - 2018///
SP  - 99
TI  - LC-MS Untargeted Analysis.
T2  - Methods Mol Biol
UR  - http://dx.doi.org/10.1007/978-1-4939-7643-0_7
UR  - https://www.ncbi.nlm.nih.gov/pubmed/29654585
VL  - 1738
ER  -
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