Variable reduction algorithm for atomic emission spectra: application to multivariate calibration and quantitative analysis of industrial samples


A variable selection procedure has been developed and used to reduce the number of wavelength data points necessary to formulate a predictive multivariate model for Pt, Pd and Rh using full atomic emission spectra (5684 wavelength data points per spectrum) obtained using a Segmented-Array Charge-Coupled Device Detector (SCCD) for inductively coupled plasma… (More)


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