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Updated: Jan 10, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
Published on: March 14, 2013
Expanding Metabolome Coverage in LC-MS/MS Analysis through Hydralazine-Based Multifunctional Derivatization
Zhiye Yan1, Weiwei Tang1, Bin Li1
1State Key Laboratory of Natural Medicines and School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 210009, China.
A new hydralazine (HZN) derivatization method enhances metabolite detection sensitivity in biological samples. This technique improves the analysis of poorly ionized small metabolites for disease biomarker discovery and metabolome profiling.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Mass Spectrometry
Background:
- Metabolomics aids disease biomarker discovery and mechanism investigation.
- Challenges persist in detecting diverse metabolites due to sensitivity limitations.
- Comprehensive metabolome profiling requires improved analytical techniques.
Purpose of the Study:
- To develop a novel chemical derivatization method for sensitive detection of poorly ionized metabolites.
- To enhance the analysis of small metabolites using liquid chromatography-tandem mass spectrometry (LC-MS/MS).
- To facilitate large-scale quantitative analysis of metabolites in biological samples.
Main Methods:
- Developed a hydralazine (HZN)-based derivatization strategy targeting carbonyl, carboxyl, and phosphoryl groups.
- Optimized derivatization parameters, including condensation reagents.
- Utilized liquid chromatography-tandem mass spectrometry (LC-MS/MS) for detection and quantification.
Main Results:
- Achieved significant sensitivity improvements (10-5000-fold) for HZN-derivatized metabolites.
- Established limits of quantitation from 5 pM to 100 nM for various metabolites.
- Successfully applied the method to reveal metabolic alterations in mice on a high-fat diet.
Conclusions:
- The HZN derivatization method offers highly sensitive detection of diverse small metabolites.
- This approach simplifies MS/MS analysis and enables efficient large-scale metabolomic studies.
- The method shows promise for investigating disease-related metabolic changes, particularly those involving gut microbiota.
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