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Updated: May 18, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
Published on: March 14, 2013
Isotopic labeling-assisted metabolomics using LC-MS
1Center for Analytical Chemistry, Department for Agrobiotechnology (IFA-Tulln), University of Natural Resources and Life Sciences, Vienna, Konrad-Lorenz-Str 20, 3430 Tulln, Austria.
Stable-isotopic labeling enhances non-targeted metabolomics by improving metabolite identification and quantification. This advanced technique refines data analysis for a deeper understanding of biological systems.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Systems Biology
Background:
- Metabolomics is a key 'omics' field for understanding biochemical processes.
- Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS) is a powerful tool for non-targeted metabolomics.
- Analyzing complex biological samples requires advanced data processing techniques.
Purpose of the Study:
- To explore the utility of stable-isotopic labeling in non-targeted metabolomics.
- To demonstrate how LC-HRMS data patterns can be systematically exploited.
- To enhance the analysis of global biochemical composition in biological samples.
Main Methods:
- Utilizing Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS).
- Analyzing mixtures of in-vivo-stable isotopic-labeled and unlabeled samples.
- Exploiting specific LC-MS data patterns generated by isotopic labeling.
Main Results:
- Stable-isotopic labeling aids in recognizing true metabolite-derived features in complex LC-MS data.
- This method facilitates characterization of global biochemical composition.
- Isotopic labeling enables more accurate quantification and compound identification.
Conclusions:
- Stable-isotopic labeling is a valuable strategy for advancing non-targeted metabolomics.
- LC-HRMS combined with isotopic labeling offers powerful capabilities for biochemical analysis.
- This approach deepens the understanding of fundamental biochemical processes.
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