Optimal selection of wavelengths in spectrophotometric multi component analysis using recursive least squares

Optimization by Simulated Annealing Theory and Chemometric Applications

“…The wavelengths selected using GSA showed reasonable agreement with those reported previously by Thijssen et al (18) for this four-component system.…”

Ultraviolet and light absorption spectrometry

“…The practical utility of the method was demonstrated for the simultaneous determination of copper, nickel, cobalt, iron, and palladium as their diethyldithiocarbamate complexes. Three papers have appeared that discuss how to go about selecting the best measurement wavelengths for use in simultaneous multicomponent determinations (98,124,492). A simplex approach to establishing the optimum conditions for an extraction-spectrophotometric determination has been described and tested with the cobalt(II)-l,3-diphenyl-5-(2i/-l,2,4-triazol-3-yl)formazan system (160).…”

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

“…9 Recently, considerable effort has been directed towards developing procedures that objectively identify those variables that contribute useful information and/or eliminate noise. [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]42 Several elaborate search-based strategies such as genetic algorithms (GA's), 17,20,25,26 simulated annealing (SA), 18 and artificial neural networks (ANN) 27 have been developed. These algorithms are intended to be global optimisers that are capable of locating the best set of parameters for a given large-scale optimisation problem.…”

“…Several stepwise selection schemes have been proposed to select or eliminate variables from data. [11][12][13]24,[29][30][31] In addition to these methods, uninformative variables have been deleted using a number of other procedures. Martens and Naes 32 suggested replacing small loading values with zeros.…”