INVESTIGADORES
GOICOECHEA Hector Casimiro
artículos
Título:
Solid-liquid extraction room temperature phosphorimetry and pattern recognition for screening polycyclic aromatic hydrocarbons and polychlorinated biphenyls in water samples
Autor/es:
A ARRUDA,; GOICOECHEA, HÉCTOR C; M SANTOS,; A CAMPIGLIA,; AC OLIVIERI,
Revista:
ENVIRONMENTAL SCIENCE & TECHNOLOGY
Editorial:
American Chemical Society
Referencias:
Año: 2003 vol. 37 p. 1385 - 1391
ISSN:
0013-936X
Resumen:
Solid-liquid extraction room temperature phosphorimetry
and pattern recognition are being proposed for screening
polycyclic aromatic hydrocarbons (PAH) and polychlorinated
biphenyls (PCB) in water samples. Both classes of
pollutants are extracted with the same membrane using a
syringe kit, and their phosphorescence spectra are
recorded directly from the surface of the solid support.
The entire experimental procedure takes less than 8 min
per sample, and the limit of detection for 10 mL of water is
at the parts-per-billion level. On the basis of the sample
spectrum, pattern recognition is used to classify positive
water samples as containing PAH, PCB, or both. The feasibility
of this approach and its ability to avoid unnecessary
chromatographic analysis of uncontaminated samples is
demonstrated with several complex mixtures and the analysis
of heavily contaminated real world samples. The
recognition ability was 100%, while the prediction ability
was close to perfect.-liquid extraction room temperature phosphorimetry
and pattern recognition are being proposed for screening
polycyclic aromatic hydrocarbons (PAH) and polychlorinated
biphenyls (PCB) in water samples. Both classes of
pollutants are extracted with the same membrane using a
syringe kit, and their phosphorescence spectra are
recorded directly from the surface of the solid support.
The entire experimental procedure takes less than 8 min
per sample, and the limit of detection for 10 mL of water is
at the parts-per-billion level. On the basis of the sample
spectrum, pattern recognition is used to classify positive
water samples as containing PAH, PCB, or both. The feasibility
of this approach and its ability to avoid unnecessary
chromatographic analysis of uncontaminated samples is
demonstrated with several complex mixtures and the analysis
of heavily contaminated real world samples. The
recognition ability was 100%, while the prediction ability
was close to perfect.