Aqueous film-forming foams (AFFFs) have been implemented in military and commercial fire-fighting activities to extinguish flammable liquid fuels. However, the use of these formulations has inadvertently resulted in the release of environmental contaminants due to migration from the site of application. The various formulations of AFFFs consist of numerous fluorocarbon and hydrocarbon compounds.
Characterizing the common as well as unique components of AFFFs that are used is the starting point to tracking these constituents through various environmental and biological compartments. In this work, seven AFFF mixtures were analyzed with a data independent acquisition approach (MSE), using Waters Xevo G2-XS QTof in order to obtain full spectral accurate mass data from which a multivariate analysis (MVA) approach could be taken to identify unique components within the mixtures.
Aqueous film-forming foam (AFFF) mixtures were analyzed using Xevo G2-XS QTof in order to obtain full spectral accurate mass data from which a multivariate analysis (MVA) approach could be taken to identify unique components within the mixtures.
Reviewing complex high resolution, nontargeted MSE datasets using workflows, filters, and views within an integrated scientific information system allows:
■ Screening for a theoretical unlimited number of compounds in a single injection.
■ Interrogation of data for the presence of unknown compounds of interest via filtering and statistical analysis.
■ Structural elucidation of isolated unknown compounds of interest.
■ Statistical tools to allow for isolation of unique markers.