An
analytical workflow for the analysis of olefins in gasoline
that combines selective bromination and comprehensive two-dimensional
(2D) gas chromatography time-of-flight mass spectrometry (GC×GC-TOFMS)
with discovery-based analysis is reported. First, a standard mix containing n-alkanes, 1-alkenes, and aromatic species was brominated
and quantified using % reacted as a metric for each compound class,
defined as the difference in the total peak area between the brominated
and original samples normalized to the original sample. The average
% reacted (1 s.d.) values were −1.45% (2.8%) for the alkanes,
99.5% (0.4%) for the alkenes, and 6.7% (11.6%) for the aromatics,
demonstrating excellent selectivity toward the alkenes with only minor
aromatic bromination. The bromination chemistry was then applied to
gasoline, followed by GC×GC-TOFMS analysis of the original and
brominated gasoline. This GC×GC-TOFMS data set was then submitted
to the supervised discovery tool tile-based F-ratio
analysis (FRA), which reduced the large data set to only the chromatographic
regions which distinguish between the original and brominated gasoline
samples. FRA discovered 314 hits, 56 of which were determined statistically
significant using combinatorial null distribution analysis (CNDA),
a permutation-based significance test. Since the brominated olefins
elute in an uncrowded region of the 2D chromatogram and have no signal
in the original sample, their discoverability was greatly increased
relative to the original olefins. By combining the information gained
from brominated olefin standards and the structured patterns of the
GC×GC separations, the top hits were identified as the dibromoalkane
products of mono-olefins, with five C5 mono-olefins identified on
a species level. The analytical workflow has broad implications for
using selective reaction chemistries to facilitate supervised discovery
by targeting desired compound classes.