Novel Analytical Workflow for Comprehensive Non-targeted Phytochemical Metabolic Profiling

FH-HES

Authors

  • Timm Hettich University of Applied Sciences, Northwestern Switzerland, School of Life Sciences, Institute for Chemistry and Bioanalytics, Gründenstrasse 40, CH-4132 Muttenz, Switzerland
  • Götz Schlotterbeck University of Applied Sciences, Northwestern Switzerland, School of Life Sciences, Institute for Chemistry and Bioanalytics, Gründenstrasse 40, CH-4132 Muttenz, Switzerland. goetz.schlotterbeck@fhnw.ch

DOI:

https://doi.org/10.2533/chimia.2015.294

Keywords:

Mass spectrometry, Metabolic profiling, Natural products, Statistical data analysis, Structural characterization

Abstract

The understanding and interpretation of pharmacological properties on a molecular level is of great importance for many different fields of research. Our study provides a novel model work-flow for comprehensive metabolic profiling by structural identification of relevant metabolites not limited to phytochemistry applications. High resolution liquid chromatography mass spectrometry LC-MS/MS data can be directly correlated with pharmacological test results on a molecular level. Thus the understanding and interpretation of pharmacological properties is supported by structural and chemical information.

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Published

2015-05-27

How to Cite

[1]
T. Hettich, G. Schlotterbeck, Chimia 2015, 69, 294, DOI: 10.2533/chimia.2015.294.