1997
DOI: 10.1016/s0003-2670(96)00556-9
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Application of multivariate curve resolution to the voltammetric data Factor analysis ambiguities in the study of weak consecutive complexation of metal ion with ligand

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Cited by 21 publications
(21 citation statements)
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“…In recent studies on the complexation of copper with organic molecules, experimental designs appear to be largely used (e.g. [11,12]). The first step was to identify all the parameters which were likely to have an influence on the response Cu*(copper in the filtrate).…”
Section: Experimental Designmentioning
confidence: 99%
“…In recent studies on the complexation of copper with organic molecules, experimental designs appear to be largely used (e.g. [11,12]). The first step was to identify all the parameters which were likely to have an influence on the response Cu*(copper in the filtrate).…”
Section: Experimental Designmentioning
confidence: 99%
“…Factor analysis (soft modelling) enable the identification of a model from the data set instead of fitting an a priori assumed model [12][13][14][15][16][17][18]. The different steps of the application of this approach in the present work are shown in the flowchart of Figure 1.…”
Section: Theory and Data Treatmentmentioning
confidence: 99%
“…This is due to the fact that the majority of soft modelling approaches assume a linear contribution of each species to the measured signal, which is not always true in electroanalytical data. Although this intrinsic limitation, the applicability of some soft modelling approaches to these data has been shown satisfactory, as the results obtained by our research group can demonstrate [12][13][14][15][16][17][18], and it appears to be an indispensable tool in the cases where hard modelling techniques are not applicable [13,14,16]. Those previous works have shown that in cases of inert complexation where the contribution of each species to the measured signal is linear, the applicability of soft modelling is strictly correct [13][14][15].…”
Section: Introductionmentioning
confidence: 95%
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