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Redefining Photoinitiator Risk Prioritization by Bridging Environmental Fate and Human Internal Exposure.

Lu Bai1,2,3, Chenge Qian2, Juan Li2

  • 1School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.

Environmental Science & Technology
|May 27, 2026
PubMed
Summary
This summary is machine-generated.

This study tracked photoinitiators (PIs) in indoor dust and human urine, revealing distinct exposure patterns across different environments like dorms and offices. Prioritizing health risks requires considering both environmental levels and internal body burdens.

Keywords:
functional indoor microenvironmentsphotoinitiatorspotential sourcesprioritizationrisk assessment

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High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC)
11:38

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Published on: May 10, 2016

Area of Science:

  • Environmental Chemistry
  • Occupational Health
  • Toxicology

Background:

  • Photoinitiators (PIs) are crucial in UV-curable applications, often marketed as "green alternatives."
  • Understanding indoor exposure pathways and internal burdens is vital for assessing potential health risks.
  • Previous studies often focus on environmental contamination, potentially overlooking internal exposure dynamics.

Purpose of the Study:

  • To integrate indoor dust measurements with urinary biomonitoring to characterize photoinitiator (PI) exposure.
  • To investigate the emission behavior and internal burdens of PIs across various microenvironments.
  • To establish a dual-dimensional prioritization strategy for PI risk assessment.

Main Methods:

  • Settled indoor dust sampling from dormitories, offices, residences, and background areas.
  • Chamber emission experiments to assess PI adsorption and gas-phase behavior.
  • Urinary biomonitoring of human populations corresponding to sampled microenvironments.

Main Results:

  • PI concentrations in dust varied significantly by microenvironment, with dormitories showing the highest levels.
  • Adsorbed-phase PI levels converged across materials, indicating dust adsorption buffers variability.
  • Urinary PI patterns aligned with microenvironments; Benzil showed high internal burden, while ethyl-4-dimethylaminobenzoate (EAB) was prominent in dorms/offices.

Conclusions:

  • Health-relevant prioritization of PIs necessitates integrating external contamination data with internal exposure and metabolic processes.
  • Environmental data alone can misestimate risk; Benzil's risk is underestimated, and PI-819's is overestimated without considering internal burdens.
  • 2-ITX was identified as a high-priority compound across all assessed scenarios, highlighting the need for a comprehensive risk assessment approach.