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Metabolomics: From Fundamentals to Clinical Applications

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Attention for Chapter 5: Strategies Involving Mass Spectrometry Combined with Capillary Electrophoresis in Metabolomics
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Chapter title
Strategies Involving Mass Spectrometry Combined with Capillary Electrophoresis in Metabolomics
Chapter number 5
Book title
Metabolomics: From Fundamentals to Clinical Applications
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-3-319-47656-8_5
Pubmed ID
Book ISBNs
978-3-31-947655-1, 978-3-31-947656-8
Authors

Karina Trevisan Rodrigues, Zuzana Cieslarová, Marina Franco Maggi Tavares, Ana Valéria Colnaghi Simionato

Editors

Alessandra Sussulini

Abstract

This chapter focuses on the important contribution of CE-MS in metabolomics, describing the nature of CE-MS coupling and the technical improvements that have led to the interfaces used in modern instrumentation. Moreover, it will discourse how the variety of electrolyte compositions and additives, which has conferred CE the exceptional selectivity of its multiple separation modes, has been handled to allow interfacing with MS without compromising ionization efficiency and the spectrometer integrity. Finally, the methodologies of CE-MS in current use for metabolomics will be discussed in detail. To verify the scope of CE-MS in clinical metabolomics, a myriad of representative applications has been compiled.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 6 21%
Student > Ph. D. Student 6 21%
Student > Master 5 17%
Researcher 4 14%
Other 2 7%
Other 2 7%
Unknown 4 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 21%
Chemistry 6 21%
Medicine and Dentistry 3 10%
Neuroscience 2 7%
Immunology and Microbiology 1 3%
Other 5 17%
Unknown 6 21%