2020
DOI: 10.1016/j.chroma.2020.461401
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Statistical inference of mass channel purity from Fisher ratio analysis using comprehensive two-dimensional gas chromatography with time of flight mass spectrometry data

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Cited by 23 publications
(31 citation statements)
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“…For each analyte in each hit list, the peak area in each sample was quantified using the m/z associated with the top F-ratio, which has been shown to be selective, generally free from interferences. 31 A ttest (α = 0.05) and concentration ratio between the clean and strong PTD classes ([strong]/[clean]) were also calculated. Tentative compound identifications were given if the mass spectra were matched to a NIST11 library standard (National Institute of Standard and Technology, MD, USA) with a match value (MV) 32 greater than 800, which is standardly defined as sufficient to declare a match.…”
Section: ■ Materials and Methodsmentioning
confidence: 99%
“…For each analyte in each hit list, the peak area in each sample was quantified using the m/z associated with the top F-ratio, which has been shown to be selective, generally free from interferences. 31 A ttest (α = 0.05) and concentration ratio between the clean and strong PTD classes ([strong]/[clean]) were also calculated. Tentative compound identifications were given if the mass spectra were matched to a NIST11 library standard (National Institute of Standard and Technology, MD, USA) with a match value (MV) 32 greater than 800, which is standardly defined as sufficient to declare a match.…”
Section: ■ Materials and Methodsmentioning
confidence: 99%
“…First, each hit “pin” location in the 2D separation space is used to target the quantitative analysis for each analyte. Second, because the magnitude of the F-ratio correlates with m / z purity, this aids in m / z selection for quantification . For each hit, a pure m / z , generally associated with the largest F-ratio, was used to calculate the relative signal for each sample.…”
Section: Methodsmentioning
confidence: 99%
“…53 Top-down quantitative analysis of metabolites in the hit lists was performed using an in-house signal measurement algorithm, as described in Figure S1, that functionally applies the "two-step" method on the GC × GC data in the unfolded form, 42 by performing 2 D peak apex finding for pure m/z followed by summing the peaks heights for each analyte. 54 The algorithm uses key information gleaned from each FRA to determine the signal for given hits for each chromatogram. First, each hit "pin" location in the 2D separation space is used to target the quantitative analysis for each analyte.…”
Section: ■ Experimental Sectionmentioning
confidence: 99%
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“…Nevertheless, the interpretation and quantification of peak overlapping in the 3D separation plane required the use of parallel factor analysis as decomposition tool 39 . In order to tackle this bottleneck, a more automatable approach was proposed and used to process 2D chromatographic data, consisting in the isolation of pure m/z combining the measure of lack of fit metric (for peak purity), F‐ratio, and P ‐values; therefore avoiding the need for signal decomposition algorithm 40 …”
Section: Software and Analysis Workflowsmentioning
confidence: 99%