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Updated: Jun 11, 2025

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
Published on: May 20, 2013
Chemical Exposomics in Human Plasma by Lipid Removal and Large-Volume Injection Gas Chromatography-High-Resolution
Hongyu Xie1, Kalliroi Sdougkou1, Bénilde Bonnefille1,2
1Department of Environmental Science, Stockholm University, 106 91 Stockholm, Sweden.
A new method using isohexane and acetonitrile-plasma extraction (HA-P) effectively removes lipids from small blood plasma volumes. This enhances sensitivity for chemical exposomics using gas chromatography-high-resolution mass spectrometry (GC-HRMS), enabling better target and nontarget analysis.
Area of Science:
- Analytical Chemistry
- Environmental Health Sciences
- Biochemistry
Background:
- Comprehensive chemical exposomics in blood requires advanced analytical workflows.
- Minimizing lipid coextractives is crucial for enhancing gas chromatography-high-resolution mass spectrometry (GC-HRMS) sensitivity.
- Current methods face challenges with matrix interference and limited injection volumes.
Purpose of the Study:
- To develop an improved GC-HRMS workflow by minimizing lipid coextractives for enhanced sensitivity and molecular discovery.
- To enable larger injection volumes and reduce matrix interference in plasma analysis.
- To establish a robust method for quantitative and non-targeted chemical exposomics.
Main Methods:
- Developed a simple isohexane (H) and acetonitrile-plasma (A-P) extraction protocol (HA-P) for small plasma volumes (100-200 μL).
- Utilized gas chromatography-Orbitrap high-resolution mass spectrometry (GC-Orbitrap HRMS) with large-volume injections (LVIs; 25 μL).
- Validated the method for quantitative analysis of hydrophobic analytes (log Kow > 3.0) and performed non-targeted analysis.
Main Results:
- The HA-P method effectively removed major lipids, enabling robust LVIs in long GC-HRMS sequences.
- Achieved a median method quantification limit of 0.09 ng/mL with good accuracy for certified reference serum.
- Detected 51 of 103 target analytes in a Swedish cohort (n=32) and identified 112 structures in non-targeted analysis.
Conclusions:
- The HA-P method significantly enhances GC-HRMS for chemical exposomics by reducing lipid interference.
- The protocol is quantitative, sensitive, and scalable for cohort studies, improving both targeted and non-targeted analyses.
- This workflow is compatible with existing liquid chromatography-based exposomics approaches.
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