2541

Environmental stressors, including air pollution, are attributable to disease globally. Technologies to comprehensively measure personal exposures to environmental contaminants are essential to link exposures to health outcomes and develop interventions. Most samplers are costly, impracticable for vulnerable populations, and only target a select number of contaminants. We developed wearable air pollutant samplers (clip and wristband form factor) that contain PDMS sorbent bars which are used to passive sample airborne environmental contaminants. These PDMS sorbent bars are analyzed following the exposure assessment period using gas chromatography high resolution mass spectrometry to assess personal time averaged exposures for thousands of compounds simultaneously. Samplers were deployed with 76 participants (aged 60-69 years) for 3-days every month for five consecutive months as part of the China BAPE (Biomarkers of Air Pollutants Exposure) study. MSHub and GNPS were used for deconvolution and alignment of peaks with neural networks, showing better reproducibility and lower RSD then vendor software, and spectral similarity networks. Suspect screening was performed using the Thermo Deconvolution plugin and stringent filtering parameters and appended to MSHub results. Annotations were automatically classified by source/use using our in-house ChemCat software and the EPA CPCat/CPDat databases. Predicted toxicities, exposure levels in general populations, and fate, transport, and biological half-lives were also determined using ChemCat and DSSTox databases. Using our unique workflow, we determined a number of xenobiotic compounds of concern and associated them with lifestyle choices, temporal changes in the environment, and indicators of health. Of most concern was the identification of dichlorvos in most participants passive samplers, a neurotoxin used for pest control in household as well as agricultural use.