For a recent exploratory study of particulate matter (PM) compositions, origins, and impacts in the El Paso/Juarez (Paso del Norte) airshed, the authors relied on solvent extraction (SX)-gas chromatography/mass spectrometry (GC/MS) procedures to characterize 24-hr quartz fiber (QF) filter samples obtained from nine spatially distributed highvolume (Hi-Vol) PM 10 samplers as well as on thermal desorption (TD)-GC/MS methods to characterize 45 time-resolved (2-hr) filter samples obtained with modified 1-m 3 /hr PM 10 samplers. Principal component analysis and related chemometric techniques were used for data reduction and data fusion as well as for multiway data correlation.A high degree of correspondence (R 2 = 0.821) was found between the rapid TD-GC/MS method (which can
IMPLICATIONSThe usefulness of GC/MS techniques for characterizing organic components in ambient PM for the purpose of source characterization and attribution has been demonstrated over the past decade. Yet acceptance of GC/MS techniques in PM receptor modeling studies has been relatively slow, and no standard GC/MS methods for PM source characterization have been approved by the U.S. Environmental Protection Agency. In this study, timeresolved PM receptor profiles obtained by thermal desorption GC/MS analysis of 2-hr quartz filter samples were used and correlated with conventional 24-hr SX-GC/MS data on spatially resolved quartz filter samples by means of principal component analysis. The results provide information about the approximate source location of transient events, as well as about the circadian activity profiles of specific source patterns, thereby enabling rapid, exploratory characterization of PM sources in complex urban environments.be carried out on 2-hr filter slices containing only microgram amounts of sample) and conventional SX-GC/MS procedures. The four main source patterns of organic PM components observed in GC/MS profiles of both temporally and spatially resolved receptor samples obtained in the El Paso/Juarez border airshed during the study period are interpreted to represent (1) vehicular emissions plus resuspended urban dust; (2) biomass combustion; (3) native vegetation detritus and resuspended agricultural dust; and (4) waste burning. Moreover, principal component analysis of combined, variance-weighted, temporally resolved TD-GC/MS data and spatially resolved SX-GC/MS data was used to determine approximate source locations for specific PM components identified in time-resolved receptor sample profiles. The same approach can be used to determine approximate circadian concentration profiles of specific PM components identified in spatially resolved receptor sample profiles.