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Updated: Jul 16, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
Published on: March 14, 2013
Comprehensive targeted profiling of multiple steroid classes in rodent plasma using liquid chromatography-mass
Taťána Gazárková1, Hana Kočová Vlčková1, Kateřina Plachká1
1Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Heyrovského 1203, 500 03, Hradec Králové, Czech Republic.
This study developed a novel UHPLC-MS/MS method for simultaneous steroid analysis, overcoming common challenges. The validated approach enables accurate quantification of 38 steroids in minimal sample volumes for research and clinical use.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Endocrinology
Background:
- Simultaneous quantification of multiple steroids in biological fluids is analytically challenging due to issues like isomer crosstalk and matrix interference.
- Existing methods struggle to profile a wide range of steroids concurrently, limiting comprehensive analysis.
Purpose of the Study:
- To develop a derivatization-free, high-throughput, and cost-effective UHPLC-MS/MS method for simultaneous profiling of 38 steroids.
- To address analytical hurdles including isomer separation and matrix effects in steroid quantification.
- To validate the method according to ICH/EMA M10 guidelines using a novel surrogate matrix approach.
Main Methods:
- Developed a derivatization-free, achiral UHPLC-MS/MS approach for steroid analysis.
- Optimized protein precipitation (PP) and supported liquid extraction (SLE) methods using small sample volumes (40 μL).
- Implemented a novel surrogate matrix-background subtraction technique using adrenalectomized rat plasma.
Main Results:
- Successfully resolved 16 stereoisomers and 15 positional isomers within a 20-min run, profiling 38 steroids.
- Achieved low limits of quantification with PP and SLE, though some steroids were only qualitatively assessed.
- Validated the UHPLC-MS/MS workflow with the surrogate matrix approach, demonstrating its effectiveness in over 500 mouse plasma samples.
Conclusions:
- Accurate steroid quantification is often underestimated, compromising research and clinical applications.
- The comprehensive, validated UHPLC-MS/MS method mitigates steroid crosstalk and uses minimal sample volume.
- The novel surrogate matrix approach significantly advances steroid analysis for diverse biological applications.
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