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Techniques & Tools Metabolomics & Lipidomics, Mass Spectrometry, Data Analysis

The Trouble with Metabolomics

Within the area of systems biology, analytical scientists are most familiar with metabolomics because it uses well-known techniques (such as NMR spectroscopy, LC-MS, GC-MS) and because it is often swift to embrace new advances, such as high-resolution mass spectrometry (MS). But with multiple advanced tools comes much data. Indeed, a wealth of data points lay hidden in a given ion chromatogram, but some of these will be useless signals, so we need statistics to help us. And that’s where the tricky part begins.

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About the Author

Georgios Theodoridis

“I studied Chemistry at the Aristotle University of Thessaloniki, Greece. Following my PhD (HPLC of alkaloid drugs, 1994), I studied theoretical aspects of separation sciences (Pardubice University, Czech Republic) and chromatography of taxane drugs (Leiden University, the Netherlands). In 1999, I returned to the Aristotle University as a post-doctoral researcher and worked up through the ranks to Full Professor of analytical chemistry,” says Georgios. But he also has industrial experience, working for AstraZeneca in the UK on the development of metabonomic tools for biomarker discovery and as metabolomics group-leader at IASMA, FEM, Trento, Italy (2009–2010). Georgio’s interests are on the development and validation of analytical methodologies for metabolic profiling and bioanalysis. He has co-authored more than 120 peer reviewed articles and book chapters, and he serves as Editor of J. Chromatography B.

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