A semiqualitative
and quantitative method was developed to classify
and quantify nitrogen-containing compounds (NCCs) in aviation and
diesel fuels and marine gas oils by using two-dimensional gas chromatography
with a nitrogen chemiluminescence detector (GCxGC NCD) without the
need for lengthy extractions. Homoscedasticity was evaluated for different
forms of linear regression. The weighted (1/x) trend line was more
accurate than the nonweighted and weighted (1/x2) trend
lines when quantitating six mixtures composed of several NCCs ranging
from 50 ppb to 50 ppm. The lower limits of detection and quantitation
of nitrogen were 6 and 20 ppb, respectively, by using the weighted
(1/x) trend line. Relative response factors (RRF) of nitrogen were
measured for several compounds, which showed that several aromatic
(aniline, quinoline, benzothiazole, o-anisidine,
and carbazole) and nonaromatic (N,N-dimethyldecylamine and N,N-dimethyldodecylamine)
compounds have similar responses. Conversely, pyridine and pyrrole
have smaller RRF. Further, alkylated pyridine and pyrrole were shown
to have greater RRF than pyridine and pyrrole. Hence, equimolar responses
for different NCCs were not observed in this study. Small RRF were
likely not the result of thermally-induced degradation of analytes
upon entry into the GC inlet. The elution times of known compounds
were repeatable, which enabled the production of a template composed
of chromatographic bins that facilitated characterization and quantitation
of unknown NCCs in fuel samples. The template advances the classification
of unknown NCCs in fuels compared to simplified classifications as
basic, nonbasic, and neutral. Clear differences were observed in the
chemical composition and concentrations of NCCs when the disparate
fuel types were compared and between the same type of fuels (i.e.,
aviation fuels). Interday quality control measurements demonstrated
high repeatability. Overall, the GCxGC NCD method was shown to be
robust, repeatable, facilitated high throughput chemical analysis
without the need for extractions, and provided detailed compositional
and quantifiable data. This information may aid in linking correlations
between NCCs and fuel properties such as stability.