Existence
of emerging contaminants in the environment is of great
importance for health risk assessment. The consensus on categories
and numbers of the emerging contaminants in airborne fine particulate
matter (PM2.5) is still extremely deficient. In this study,
an in-house data set was constructed containing 890 unique ToxCast
(Phase I and Phase II) chemicals. Occurrence and temporal variation
of the chemicals was investigated by a suspect screening workflow
in 60 PM2.5 samples from January to December of 2016 in
Beijing. Eighty-nine compounds were identified in 12 substance categories,
which covered a broad range of physicochemical properties. Quantification/semiquantification
results showed that phthalates, phenols, and carboxylic esters were
the three most predominant categories, with mean concentrations of
7.82, 4.42, and 4.11 ng/m3, respectively. Four diverse
temporal variation patterns were discerned, which could be explained
by correlations of chemical concentrations (or instrumental responses)
with meteorological parameters. An extended retrospective suspect
screening was also performed to reveal the presence of several analogues
of the identified chemicals that were not included in the data set.
Another 75 pollutants were tentatively recognized, and comparison
of estimated composition profiles based on instrumental responses
suggested the identified ToxCast chemicals are a notable subset of
typical emerging contaminants. The results might facilitate ranking
of organic pollutants with active biological effects in PM2.5 samples.