These data are from a calibration of Acetic acid on a GC/FID instrument with a headspace autosampler with 70 calibrated points (10 points were targeted for each level, but replicates were weighed individually resulting in 70 unique amount points measured in mg). One major outlier was added after the fact to illustrate how outliers can pull the calibration model. These data illustrate problems with analytical data from chromatography experiments that largely go unnoticed because there's not enough data collected to see them, namely non-normal error, heteroscedasticity, and outliers
A mathematical approach for evaluating the error associated with sampling chromatographic peaks is d...
There is a fundamental difference between data collected in comprehensive two-dimensional gas chroma...
Three graphs that indicate the relative error in peak area when two incompletely resolved peaks are ...
These data are from a calibration of Acetic acid on a GC/FID instrument with a headspace autosampler...
Basic aspects in the handling of fatty acid-data have remained largely underexposed. Of these, we ai...
Basic aspects in the handling of fatty acid-data have remained largely underexposed. Of these, we ai...
This first international proficiency-testing scheme evaluated the analytical performance and the sta...
In the present study, multivariate analytical figures of merit (AFOM) for three well-known second-or...
Quantitative chromatographic analysis is liable to errors due to peak asymmetry because the uncertai...
Errors in an analytical method are often not recognized as such or are underrated. Therefore, it is ...
Introduction: Duplicate measurements can be used to describe the performance and analytical robustne...
<p>Inj: injected amount, PA: peak area, ±Diff(%): difference between the actual value of PA/inj and ...
Correction of crude thin layer chromatographic data usually enables a reliable comparison with refer...
In multivariate curve resolution (MCR) analysis, a range of feasible solutions is often encountered,...
In the field of metabolomics, hundreds of metabolites are measured simultaneously by analytical plat...
A mathematical approach for evaluating the error associated with sampling chromatographic peaks is d...
There is a fundamental difference between data collected in comprehensive two-dimensional gas chroma...
Three graphs that indicate the relative error in peak area when two incompletely resolved peaks are ...
These data are from a calibration of Acetic acid on a GC/FID instrument with a headspace autosampler...
Basic aspects in the handling of fatty acid-data have remained largely underexposed. Of these, we ai...
Basic aspects in the handling of fatty acid-data have remained largely underexposed. Of these, we ai...
This first international proficiency-testing scheme evaluated the analytical performance and the sta...
In the present study, multivariate analytical figures of merit (AFOM) for three well-known second-or...
Quantitative chromatographic analysis is liable to errors due to peak asymmetry because the uncertai...
Errors in an analytical method are often not recognized as such or are underrated. Therefore, it is ...
Introduction: Duplicate measurements can be used to describe the performance and analytical robustne...
<p>Inj: injected amount, PA: peak area, ±Diff(%): difference between the actual value of PA/inj and ...
Correction of crude thin layer chromatographic data usually enables a reliable comparison with refer...
In multivariate curve resolution (MCR) analysis, a range of feasible solutions is often encountered,...
In the field of metabolomics, hundreds of metabolites are measured simultaneously by analytical plat...
A mathematical approach for evaluating the error associated with sampling chromatographic peaks is d...
There is a fundamental difference between data collected in comprehensive two-dimensional gas chroma...
Three graphs that indicate the relative error in peak area when two incompletely resolved peaks are ...