Multivariate analytical figures of merit as a metric for evaluation of quantitative measurements using comprehensive two-dimensional gas chromatography-mass spectrometry
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.
NGLC 2004-2010.National Geological Library of China All Rights Reserved.
Add:29 Xueyuan Rd,Haidian District,Beijing,PRC. Mail Add: 8324 mailbox 100083
For exchange or info please contact us via email.