Issue |
Analusis
Volume 28, Number 2, March 2000
New trends in material science
|
|
---|---|---|
Page(s) | 148 - 154 | |
Section | Original articles | |
DOI | https://doi.org/10.1051/analusis:2000108 |
DOI: 10.1051/analusis:2000108
Modeling of inner filter effect in synchronous spectrofluorimetry by using partial least squares
A. Andrade-Eiroa, E. Vázquez-Blanco, P. López-Mahía, S. Muniategui-Lorenzo and D. Prada-RodríguezDepartment of Analytical Chemistry. A Coruña University. A Zapateira, E 15071, A Coruña. Spain
(Received September 29, 1999; revised January 4, 2000; accepted February 8, 2000.)
Abstract
This paper deals with a very common problem on spectrofluorimetry: the inner-filter effect. This
limitation has made spectrofluorimetry into a disadvantageous technique for the quantification of
individual compounds in complex mixtures, however, a lot of papers have quantified compounds as fluorene
in mixtures where other Polycyclic Aromatic Hydrocarbons (PAHs) absorb part of the energy emitted by
fluorene without taking account this limitation. The inner-effect filter for fluorene is easily detectable
in spectrofluorimetric measurements in mixtures where there are compounds, such as benzo(k)fluoranthene,
indeno(1,2,3-cd)pyrene and pyrene. The application of methods, such as Multiple Linear Regression (MLR) to
the quantification of fluorene in mixtures containing compounds capable to quench its signal, provides
high errors in the analytical results. This point is carefully treated in our 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 Least
Squares (PLS) calibration.
Key words: Partial least squares -- polycyclic aromatic hydrocarbons -- multiple linear regression - chemiometric.
© EDP Sciences, Wiley-VCH 2000