Capillary Electrophoresis–Mass Spectrometry for Metabolomics
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Product details
- ISBN 9781788011044
- Weight: 598g
- Dimensions: 156 x 234mm
- Publication Date: 13 Jul 2018
- Publisher: Royal Society of Chemistry
- Publication City/Country: GB
- Product Form: Hardback
- Language: English
Capillary electrophoresis–mass spectrometry (CE-MS) has become a very useful analytical technique for the profiling of highly polar and charged metabolites in biological samples. In this book, the unique features of CE-MS for metabolomics studies are highlighted including CE separation modes, capillary coatings and practical aspects of CE-MS coupling alongside a comprehensive overview of recent technological developments and applications.
CE-MS can be considered a relatively new technique in the field of metabolomics and it is therefore important to inform the scientific community about the possibilities of advanced CE-MS approaches for metabolomics studies. This book outlines the potential of this technique for researchers working in metabolomics, bioanalytics and biomarker analysis.
Strongly believing in the power of analytical technology to contribute to a better understanding of biochemical mechanisms underlying diseases, Rawi Ramautar studied both Pharmacochemistry and Analytical Sciences at Vrije Universiteit of Amsterdam in order to have the right background for a PhD training in this direction. In 2010, he completed his PhD on the development of capillary electrophoresis-mass spectrometry methods for metabolomics at the Utrecht University. Intrigued by metabolomics for disease prediction and diagnosis, Rawi switched to the Leiden University Medical Center to broaden his horizon on this topic. In 2013 and 2017, Rawi Ramautar received the highly prestigious Veni and Vidi personal grants, respectively, from the Netherlands Organisation for Scientific Research. Currently, he is a Principal Investigator (tenured) at the Leiden Academic Center for Drug Research of the Leiden University where his group is developing microscale analytical workflows for volume-restricted biomedical problems.
