Analysis of indoor dust has been used to assess human exposure to compound classes such as flame retardants, pesticides and other environmental contaminants. Here, we demonstrate the analysis of dust extracts representing various indoor environments (industrial and domestic) using a comprehensive HRMS approach that incorporates ion mobility to provide additional separation of the complex samples. Non-targeted data acquisition was performed using UPLC-IMS QTof in ESI positive and negative polarities with HRMS-ion mobility enhanced MS<sup>E </sup>acquisition mode. Following acquisition, identifications were made against a target list based on known values from standards for accurate mass of fragments, RT, and the collisional cross section (CCS) values determined using IMS. Assessment of sample variability was achieved using the multivariate approaches of PCA and OPLS-DA. Significant accurate mass:retention time pairs responsible for these sample variations were then submitted for elemental composition and isotope scoring, followed by a ChemSpider database search. Using the compounds' proposed structures, theoretical fragmentation was performed and high-collision energy spectrum was matched to the fragment structures and scored. The combined targeted and non-targeted processing approach resulted in numerous compounds being tentatively identified in the various house and industrial dust samples, including perfluorinated compounds, flame retardants and pharmaceuticals. Trending of compound groups across the industrial and domestic dust samples was also assessed.

Comprehensive targeted and non-targeted analysis of indoor dust using LC-HRMS with ion mobility

255th National Meeting (2018)

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