Quantitative determination in chromatographic analysis based on n-way calibration strategies

Analytical Figures of Merit: From Univariate to Multiway Calibration

“…20 By processing these data, considerably more complex analytical problems can be solved, [21][22][23][24][25][26][27][28][29][30][31] and predictions are even possible in the presence of unexpected spectral interferences, i.e., sample constituents not considered in the calibration phase. 32 The latter will be called, in the remainder of this paper, simply as 'unexpected interferences'.…”

“…32 Interesting experimental applications in which this advantage has been exploited for a variety of samples can be found in recent reviews. [22][23][24][25][26][27][28][29][30][31] An alternative nomenclature is based on the number of ways, which is equivalent to the number of modes of a data array for a group of samples. 32 Thus univariate and one-way calibration are synonymous, as are first-order and two-way calibration, second-order and threeway calibration, etc.…”

Ad-hoc blocked design for the robustness study in the determination of dichlobenil and 2,6-dichlorobenzamide in onions by programmed temperature vaporization-gas chromatography–mass spectrometry

“…The computed design is coupled to a Parallel Factor Analysis 2 (PARAFAC2) [20,21], a 112 multiway technique which has proved to be very useful in solving common problems in GC-113 MS [22,23]. It is particularly helpful for determining compounds of interest in food 114 commodities [19,24], for solving problems as small retention time shifts, severe interferences 115 caused by unexpected derivatization artifacts or by co-eluents of the complex matrix which 116 share m/z ratios with the target compounds.…”

Quality Control Assessment for Chemical Analysis

“…(2d) What is the uncertainty in any sample result that is estimated from the curve? Therefore, it is important to choose the correct calibration model for each particular analyte even though this could prove to be time consuming, particularly when establishing a new method for over a hundred analysts [2], [3]. The unwise choice of a calibration model may give rise to inaccuracies as high as 100% for analytical determinations due to the presence of high random errors and bias [9].…”