Novel Analytical Workflow for Comprehensive Non-targeted Phytochemical Metabolic Profiling
FH-HES
DOI:
https://doi.org/10.2533/chimia.2015.294Keywords:
Mass spectrometry, Metabolic profiling, Natural products, Statistical data analysis, Structural characterizationAbstract
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.Downloads
Published
2015-05-27
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Copyright (c) 2015 Swiss Chemical Society
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
[1]
Chimia 2015, 69, 294, DOI: 10.2533/chimia.2015.294.