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Updated: May 10, 2026

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
Published on: May 27, 2014
Quantitative Exposomics Targeting over 200 Toxicants and Key Biomarkers at the Picomolar Level
Yunyun Gu1,2, Max L Feuerstein1,3, Dillon T Lloyd4
1Department of Food Chemistry and Toxicology, Faculty of Chemistry, University of Vienna, Währinger Straße 42, Vienna 1090, Austria.
A new human biomonitoring workflow analyzes over 230 environmental chemicals in biological samples. This method enables large-scale exposome-wide association studies (ExWAS) for public health research.
Area of Science:
- Environmental Health Sciences
- Analytical Chemistry
- Toxicology
Background:
- The exposome, encompassing all environmental exposures, is crucial for understanding health and disease.
- Current methods for analyzing trace-level exposure chemicals often lack sensitivity and broad applicability for large studies.
- Large-scale exposome-wide association studies (ExWAS) require robust, high-throughput analytical workflows.
Purpose of the Study:
- To develop and validate a scalable, next-generation human biomonitoring (HBM) workflow for comprehensive exposomic analysis.
- To establish validation criteria for high-throughput assays analyzing diverse trace-level compounds.
- To demonstrate the workflow's utility in a real-world epidemiological setting.
Main Methods:
- A solid-phase extraction method using 96-well plates coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS).
- Analysis of over 230 biomarkers in urine, plasma, and serum.
- Validation of method robustness, including extraction recovery, matrix effects, precision, and sensitivity (limit of detection <0.1 ng/mL).
Main Results:
- The workflow demonstrated robust performance across biological matrices, with 59-80% of analytes meeting validation criteria.
- Over 100 analytes, including PFAS, pesticides, and industrial chemicals, were detected in 200 urine samples from pregnant women.
- Several analytes were detected for the first time in a U.S. urinary biomonitoring study.
Conclusions:
- The developed HBM workflow is scalable, sensitive, and robust, suitable for large-scale exposomic research.
- This method supports the advancement of exposome-wide association studies (ExWAS) for public and personalized prevention.
- The proposed validation framework aids in assessing assays for complex, trace-level chemical analyses.
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