BACKGROUND BILINEARIZATION BY THE USE OF GENERALIZED STANDARD ADDITION METHOD ON 2-DIMENSIONAL DATA

The capability of the standard addition method to correct the matrix e ffects and the advantage of two-dimensional bilinear analytical data w ere utilized in a hybrid method combining the generalized standard add ition method (GSAM) and constrained background bilinearization. The pr oposed method can effectively compensate for both matrix effects and t he influence of unexpected interferents in multivariate calibration. F irst, GSAM was extended to two-dimensional bilinear data. In the proce ss of standard additions, the background is fixed and the standard res ponses of the sought-for components in actual samples could be thus ac quired even with the existence of unexpected interferents in the sampl e. The quantification of the sought-for analytes was then completed by use of background bilinearization. In the optimization process of bac kground bilinearization, a global optimization technique, generalized simulated annealing (GSA), was adopted to guarantee the global minimum . The characteristic performance of the proposed method was tested by a series of simulations and experimental fluorescence excitation-emiss ion data with organic dye mixtures.