The data were analyzed using the program ChromaTOF® Software from LECO (St. Joseph, MI), by setting the threshold for up to 650 hits on m/z similarity and compared with the metabolites present in libraries of the software. Compounds with peak-areas below 700 were undetectable and compounds with less than 650 hits for m/z identification were removed. The annotated synthetic compounds were removed.
Pegasus 4d gc gc tof ms
The Pegasus 4D GC×GC/TOF-MS is a gas chromatography-time-of-flight mass spectrometry (GC×GC/TOF-MS) system. It combines comprehensive two-dimensional gas chromatography (GC×GC) with time-of-flight mass spectrometry (TOF-MS) technology to provide high-resolution separation and sensitive detection of complex samples.
6 protocols using pegasus 4d gc gc tof ms
GC-MS Analysis of Metabolites
The data were analyzed using the program ChromaTOF® Software from LECO (St. Joseph, MI), by setting the threshold for up to 650 hits on m/z similarity and compared with the metabolites present in libraries of the software. Compounds with peak-areas below 700 were undetectable and compounds with less than 650 hits for m/z identification were removed. The annotated synthetic compounds were removed.
GC-MS Analysis of Compounds via Kovats Index
Metabolomic Analysis of Retinal Samples
GC×GC/TOF-MS Analysis of Egg Samples
GC-MS Analysis of Blubber Samples
Comprehensive Analytical Workflow for Water Samples
Joesph, MI); detailed instrumental conditions are listed in
the ChromaTOF software (version 4.72.0), yielding a list of features
with distinct chromatographic peaks and associated fragmentation mass
spectra. The total number of chromatographic features detected per
treatment cycle is listed in
Peak area abundances for all chromatographic features were normalized
by dividing each of the chromatographic feature’s peak area
by the volume of sample extracted (influent, 500 mL; AeMP and AnMP,
1000 mL each). Then, the average total number of chromatographic features
and the average total peak area abundances per sample across the experiments
(influent, n = 3; AeMP, n = 3; AnMP, n = 2) were each evaluated using an analysis of variance
(ANOVA) followed by a Bonferroni adjusted post hoc test (
tests were conducted by using IBM SPSS software (version 27).
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