%ATravis, Steven [Department of Chemistry, University at Buffalo The State University of New York (SUNY) Buffalo New York 14260 USA]%AKordas, Katarzyna [Department of Epidemiology and Environmental Health, University at Buffalo The State University of New York (SUNY) Buffalo New York 14214 USA]%AAga, Diana [Department of Chemistry, University at Buffalo The State University of New York (SUNY) Buffalo New York 14260 USA]%BJournal Name: Rapid Communications in Mass Spectrometry; Journal Volume: 35; Journal Issue: 8; Related Information: CHORUS Timestamp: 2023-08-30 12:49:45 %D2021%IWiley Blackwell (John Wiley & Sons) %JJournal Name: Rapid Communications in Mass Spectrometry; Journal Volume: 35; Journal Issue: 8; Related Information: CHORUS Timestamp: 2023-08-30 12:49:45 %K %MOSTI ID: 10385000 %PMedium: X %TOptimized workflow for unknown screening using gas chromatography high‐resolution mass spectrometry expands identification of contaminants in silicone personal passive samplers %XRationale

Silicone wristbands have emerged as valuable passive samplers for monitoring of personal exposure to environmental contaminants in the rapidly developing field ofexposomics. Once deployed, silicone wristbands collect and hold a wealth of chemical information that can be interrogated using high‐resolution mass spectrometry (HRMS) to provide a broad coverage of chemical mixtures.

Methods

Gas chromatography coupled to Orbitrap™ mass spectrometry (GC/Orbitrap™ MS) was used to simultaneously perform suspect screening (using in‐house database) and unknown screening (using vendor databases) of extracts from wristbands worn by volunteers. The goal of this study was to optimize a workflow that allows detection of low levels of priority pollutants, with high reliability. In this regard, a data processing workflow for GC/Orbitrap™ MS was developed using a mixture of 123 environmentally relevant standards consisting of pesticides, flame retardants, organophosphate esters, and polycyclic aromatic hydrocarbons as test compounds.

Results

The optimized unknown screening workflow using a search index threshold of 750 resulted in positive identification of 70 analytes in validation samples, and a reduction in the number of false positives by over 50%. An average of 26 compounds with high confidence identification, 7 level 1 compounds and 19 level 2 compounds, were observed in worn wristbands. The data were further analyzed via suspect screening and retrospective suspect screening to identify an additional 36 compounds.

Conclusions

This study provides three important findings: (1) a clear evidence of the importance of sample cleanup in addressing complex sample matrices for unknown analysis, (2) a valuable workflow for the identification of unknown contaminants in silicone wristband samplers using electron ionization HRMS data, and (3) a novel application of GC/Orbitrap™ MS for the unknown analysis of organic contaminants that can be used in exposomics studies.

%0Journal Article