Multivariate analytical figures of merit as a metric for evaluation of quantitative measurements using comprehensive two-dimensional gas chromatography-mass spectrometry
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文摘

Multivariate figures of merit as a metric for quantitative analysis using GC × GC–MS.

New definition of sensitivity is extended to GC × GC–MS data.

MCR-ALS and PARAFAC as frequently used calibration algorithms are discussed.

A new strategy is developed to estimate the noise level using residuals.

Determination of PAHs in oil analyzed by GC × GC–MS is considered as real case.

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