Simultaneous determination of a polycyclic aromatic hydrocarbons system inmicellar medium by partial least squares (PLS-1) using linear variable angle fluorescence spectra.

The multivariate calibration method partial least squares regression type 1 (PLS-I) was applied to the simultaneous spectrofluorimetric determination of aromatic polycyclic hydrocarbons of environmental interest, namely benzo [a]pyrene, benzo[e]pyrene, benzo[g,h,i]perylene, coronene, dibenzo[a, h]ant rhracene and indeno[1,2,3-c,d]pyrene in micellar medium by using the non io nic surfactant polyethylene ether (POLE). In order to employ the highest se nsitivity signals for the determination of each of the compounds in the mix ture, the corresponding linear variable angle fluorescence spectra were rec orded. Several data characteristic are taken into account in order to minim ize the optimum number of factors required for the construction of calibrat ion model while using various statisticial criteria of selection. The stati stical parameters obtained by internal and external validation of the optim um calibration model were in agreement, with satisfactory results. The resu lts obtained in both synthetic mixtures and in water samples of two differe nt origins spiked with known quantities of hydrocarbons of interest are sat isfactory.