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Exposomics as a discovery engine for emerging contaminants and hidden biological risks
Oluwatobi Kolawole1,2, Atallah Elzein2, Tim Marczylo2
1Wageningen University & Research, Droevendaalsesteeg 3, 6708 PB, Wageningen, the Netherlands.
Emerging Contaminants
|May 18, 2026
Summary
Exposomics research identifies novel environmental contaminants and their health effects, revealing risks missed by traditional methods. Further development is needed for global application and proactive chemical risk management.
Area of Science:
- Environmental Health Sciences
- Toxicology
- Biomonitoring
Background:
- Exposome science integrates diverse methods to study environmental exposures.
- Conventional monitoring often misses complex chemical mixtures and novel contaminants.
- Exposomics offers a powerful approach to uncover previously unknown environmental health risks.
Purpose of the Study:
- To map the application of exposomic approaches in detecting and characterizing under-regulated or unknown contaminants.
- To identify priority compounds and associated health outcomes revealed by exposomics.
- To assess the current landscape and identify gaps in exposomic research.
Main Methods:
- Conducted a scoping review following PRISMA-ScR guidelines.
- Searched four bibliographic databases and grey literature (2015-2025).
- Analyzed 67 eligible studies, with 42 charted quantitatively, focusing on high-income countries.
Main Results:
- Exposomics identified 17 priority compounds (e.g., GenX, PFAS, microplastics) with novel detections or biological effects.
- Pesticides, PFAS, and heavy metals were common targets, linked to metabolic, developmental, and epigenetic outcomes.
- Research is concentrated in high-income countries, highlighting geographic and data infrastructure gaps.
Conclusions:
- Exposomics expands hazard characterization and provides early warnings for risks missed by targeted surveillance.
- Gaps in geographic coverage, longitudinal data, and mixture analysis tools need addressing.
- Harmonized biomonitoring and One Health frameworks are crucial for advancing exposomics and chemical risk governance.
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