Wristband Personal Passive Samplers and Suspect Screening Methods Highlight Gender Disparities in Chemical Exposures
Nicholas J Herkert1, Gordon J Getzinger2, Kate Hoffman1
1Nicholas School of the Environment, Duke University, Durham, North Carolina 27710, United States.
Wristband samplers offer cost-effective human exposure assessments. A new R workflow enhances chemical identification in wristband samples, revealing personal care products are key drivers of exposure differences between sexes.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Toxicology
Background:
- Wristband personal samplers provide scalable and cost-effective human exposure assessments.
- Nontargeted analyses with wristbands expand understanding of the environmental exposome.
Purpose of the Study:
- Develop and validate a custom R workflow for suspect screening and chemical annotation of wristband samples.
- Utilize gas chromatography-high-resolution mass spectrometry (GC-HRMS) for comprehensive exposure monitoring.
Main Methods:
- A scripted workflow in R was developed for feature selection and chemical annotation.
- Methods included blank subtraction, internal standard normalization, and PubChem metadata utilization.
- Workflow validation against 104 targeted analytes from previous wristband studies.
Main Results:
- Achieved a true positive rate of 62% in QC matrix and 48% in wristband samples.
- Identified 458 features significantly higher in female-worn wristbands versus 21 in male-worn wristbands.
- Tentative identifications suggest personal care products drive observed sex-based exposure differences.
Conclusions:
- The developed R workflow effectively annotates chemical features from wristband samples.
- Significant differences in chemical exposures exist between sexes, primarily linked to personal care products.
- Wristband sampling combined with advanced analytical workflows offers powerful insights into the human exposome.
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