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Título
A sensitive and automatic method based on microextraction by packed sorbents for the determination of polycyclic aromatic hydrocarbons in saliva samples
Autor(es)
Palabras clave
Microextraction by packed sorbents
Programmed temperature vaporizer
Gas chromatography
Mass spectrometry
Polycyclic aromatic hydrocarbons
Saliva samples
Fecha de publicación
2020
Editor
Elsevier
Citación
Patricia Martín Santos, Camilo Jiménez Carracedo, Miguel del Nogal Sánchez, José Luis Pérez Pavón, Bernardo Moreno Cordero, A sensitive and automatic method based on microextraction by packed sorbents for the determination of polycyclic aromatic hydrocarbons in saliva samples, Microchemical Journal, Volume 152, 2020, 104274, ISSN 0026-265X, https://doi.org/10.1016/j.microc.2019.104274. (https://www.sciencedirect.com/science/article/pii/S0026265X19315607)
Resumen
[EN]A sensitive method for the quantification of polycyclic aromatic hydrocarbons (PAHs) in saliva samples is proposed. The method is based on the use of microextraction by packed sorbents (MEPS), injection with programmed temperature vaporizer (PTV), gas chromatography (GC) and mass spectrometry with a single quadrupole (MS). As far as we know, the MEPS technique has not been used to date for the analysis of PAHs in saliva samples. Sample treatment carried out only involves centrifugation and filtration of the saliva sample, which is subjected to the MEPS process without dilution. Standard addition was used as a calibration strategy, due to the matrix effect found using ultrapure water and among the different saliva samples. Nine saliva samples were analysed and phenanthrene was found (15 ± 6 ng L−1) in one of them. To confirm the accuracy of the method, the concentrations added in the standard additions were compared with the value predicted by the calibration model. The values ranged between 78 and 123%. The limits of detection (LOD) found in the saliva samples ranged between 4.6 and 79 ng L−1 and the repeatability and reproducibility were always equal to or lower than 10 and 17%, respectively. The main advantage of the proposed methodology over the existing ones is the complete automation of the analysis process (extraction, separation and detection). Once the saliva sample is placed in the vial, the entire process occurs on-line.
URI
ISSN
0026-265X
DOI
10.1016/j.microc.2019.104274
Versión del editor
Aparece en las colecciones
- DQANB. Artículos [108]
Patrocinador
P. Martín Santos wishes to express her gratitude to the University of Salamanca for her predoctoral fellowship












