Modeling of inner filter effect in synchronous spectrofluorimetry by usingpartial least squares

This paper deals with a very common problem on spectrofluorimetry: the inne r-filter effect this limitation has made spectrofluorimetry into a disadvan tageous technique for the quantification of individual compounds in complex mixtures, however, a lot of papers have quantified compounds as fluorene i n mixtures where other Polycyclic Aromatic Hydrocarbons (PAHs) absorb part of the energy emitted by fluorene without taking account this limitation. T he inner-effect filter for fluorene is easily detectable in spectrofluorime tric measurements in mixtures where there are compounds, such as benzo(k)fl uoranthene. indeno(1,2,3-cd)pyrene and pyrene. The application-of methods, such as Multiple Linens Regression (MI.R) to die quantification of fluorene in mixtures containing compounds capable to quench it?; signal, provides h igh errors in the analytical results. This point is carefully treated in ou r paper. The precise and accurate quantification of fluorene in presence of benzo(k)fluoranthene. indene( 1,2,3-cd)pyrene and pyrene, was achieved by constant-wavelength synchronous fluorimetry in combination with partial Lea st Squares (PLS) calibration.