Factorial analysis of matrix effects in ICP-OES and AAS Determination of Ta and Ni IN Au.
In measuring systems in which the signal is linearly related both to the component of interest and to matrix components, 2(n) factorial analysis is a convenient tool for applying matrix corrections. In general, the linearity condition is satisfactorily fulfilled if the matrix influences are not very large, but generally the signal is not linearly related to the analyte concentration. k(n) (k > 2) factorial analysis can then be applied, but it needs extensive calibration to determine all the regression coefficients. When the non-linearity is not too large (as in atomic-absorption spectrophotometry), a more convenient method is to use the calibration curve or the instrumental curve-correction facility to obtain a linearized variable to which 2(n) factorial analysis is then applied. It is shown that the systematic deviation introduced often remains negligible if only the upper part of the calibration curves is used.
Kragten
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Natuurkundig Laboratorium de Universiteit van Amsterdam, Valckenierstraat 65, 1018 XE Amsterdam, The Netherlands.
Parczewski
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