Title |
Dispersive liquid–liquid microextraction combined with dispersive solid‐phase extraction for gas chromatography with mass spectrometry determination of polycyclic aromatic hydrocarbons in aqueous matrices
|
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Published in |
Journal of Separation Science (JSS) (formerly Journal of High Resolution Chromatography), September 2018
|
DOI | 10.1002/jssc.201800326 |
Pubmed ID | |
Authors |
Farah Wahidah Mohd Hassan, Muggundha Raoov, Sazlinda Kamaruzaman, Mohd Marsin Sanagi, Nao Yoshida, Yuichiro Hirota, Norikazu Nishiyama, Noorfatimah Yahaya |
Abstract |
This work describes a dispersive liquid-liquid microextraction combined with dispersive solid phase extraction method based on phenyl-functionalized magnetic sorbent for the preconcentration of polycyclic aromatic hydrocarbons from environmental water, sugar cane juice and tea samples prior to GC-MS analysis. Several important parameters affecting the extraction efficiency were investigated thoroughly, including the mass of sorbent, type and volume of extraction solvent, extraction time, type of desorption solvent, desorption time, type and amount of salt-induced demulsifier and sample volume. Under the optimized extraction and GC-MS conditions, the method revealed good linearity (10-100000 ng L-1 ) with coefficient of determination (R2 ) of ≥ 0.9951, low limits of detection (3-16 ng L-1 ), high enrichment factors (EFs = 61-239) and satisfactory analyte recoveries (86.3-109.1%) with the relative standard deviations < 10% (n = 5). The entire sample preparation procedure was simple, rapid and can be accomplished within 10 min. This method was applied (after pretreatment) to thirty selected samples, and the presence of studied analytes was quantified in 17 samples. This article is protected by copyright. All rights reserved. |
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Mendeley readers
Geographical breakdown
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Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 6 | 22% |
Student > Bachelor | 3 | 11% |
Lecturer | 2 | 7% |
Student > Ph. D. Student | 2 | 7% |
Librarian | 1 | 4% |
Other | 3 | 11% |
Unknown | 10 | 37% |
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Nursing and Health Professions | 1 | 4% |
Other | 2 | 7% |
Unknown | 13 | 48% |