Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10495/38477
Título : Direct large-volume injection analysis of polycyclic aromatic hydrocarbons in water
Otros títulos : Análisis de inyección directa en gran volumen de hidrocarburos aromáticos policíclicos en agua
Autor : Rubio Clemente, Ainhoa
Chica Arrieta, Edwin Lenin
Peñuela Mesa, Gustavo Antonio
metadata.dc.subject.*: Antraceno
Anthracene
Benzopireno
Benzopyrene
Hidrocarburos aromáticos policíclicos
Polycyclic aromatic hydrocarbons
Diseño experimental
Experimental design
Análisis por componentes principales
Principal components analysis
Fecha de publicación : 2018
Editorial : Pontificia Universidad Javeriana, Facultad de Ciencias
Citación : Rubio-Clemente, Ainhoa, Chica, Edwin L., Peñuela, Gustavo A., & Salcedo-Reyes, Juan Carlos. (2018). Direct large-volume injection analysis of polycyclic aromatic hydrocarbons in water. Universitas Scientiarum, 23(2), 171-189. https://doi.org/10.11144/javeriana.sc23-2.dlvi
Resumen : ABSTRACT:Due to the health risks for both humans and living beings caused by polycyclic aromatic hydrocarbons (PAHs), the monitoring of these compounds in environmental matrices is mandatory. This work proposes an analytical method for analyzing anthracene (AN) and benzo[a]pyrene (BaP), two of the most representative PAHs, at ultra-trace concentrations in water, employing direct injection of large volumes of samples coupled with reversed-phase high-performance liquid chromatography. For this purpose, principal component analysis was used to examine the behavior of AN and BaP within the chromatographic system. Results showed that AN and BaP chromatographic behavior can be described by three models representing their identification, the quantification of AN and that of BaP, respectively. The factors affecting the obtained models, such as the injection volume, column temperature, flow rate, strength of the mobile phase, and the excitation and emission wavelengths, were examined and optimized by means of design of experiments. Finally, the analytical method was validated, obtaining promising limits of detection and quantification. The developed analytical method was demonstrated to be useful for a sensitive analysis of the target analytes in relatively clean natural water matrices.
metadata.dc.identifier.eissn: 2027-1352
ISSN : 0122-7483
metadata.dc.identifier.doi: 10.11144/Javeriana.SC23-2.dlvi
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