2003
DOI: 10.1016/s0003-2670(03)00663-9
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Multivariate analytical sensitivity in the determination of selenium, copper, lead and cadmium by stripping voltammetry when using soft calibration

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Cited by 20 publications
(6 citation statements)
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“…-Analytical sensitivity. It is defined for first-order [145][146][147] and for second-order bilinear calibration [148], using a direct analogy with the univariate parameter. -Limit of detection.…”
Section: Previously Proposed Methodology In Multivariate Calibrationmentioning
confidence: 99%
“…-Analytical sensitivity. It is defined for first-order [145][146][147] and for second-order bilinear calibration [148], using a direct analogy with the univariate parameter. -Limit of detection.…”
Section: Previously Proposed Methodology In Multivariate Calibrationmentioning
confidence: 99%
“…As the error in the reference values was assumed negligible because the preparation of the calibration emulsions is more accurate than the measurement and prediction steps, s y/x can be considered as a good approximation to the repeatability of the overall methodology (measurement plus multivariate modelling). 21 As mentioned above (section on Validation of the calibration model), it was 0.23 mg Cu L À1 which was satisfactory because it represents a 4.6% relative standard deviation (RSD) for a nominal concentration of 5 mg Cu L À1 and a 1.5% RSD at 15 mg Cu L À1 .…”
Section: Figures Of Merit (I)mentioning
confidence: 76%
“…Further advantages of the use of the analytical sensitivity estimated by means of the capability of discrimination are: 21 it employs the same conceptual methodology as ISO and IUPAC for dening the capability of detection; it is possible to compare analytical sensitivities from different methods (even despite they use signals with different units) because they are expressed in concentration units; and, nally, the a and b errors are considered. A major difference of the multivariate analytical sensitivity over classical calibration and NAS is that it does not depend on 'pseudosignals' or on vectorial decomposition.…”
Section: Figures Of Merit (I)mentioning
confidence: 99%
“…Bias can be, simply, ∑(x pred −x true ) m , (m = number of samples). Repeatability precision can be evaluated quite easily as the standard error of the regression line (s y/x ), just assuming that the error in the reference values is negligible in comparison to the PLS predictions [65,71]. That is true when using standardized chromatographic methodologies but not so evident when complex methods, such as the motor methane number, are used.…”
Section: ∑(mentioning
confidence: 99%