Determination of benzene, toluene, ethylbenzene, xylenes in water at sub-ngl−1 levels by solid-phase microextraction coupled to cryo-trap gas chromatography–mass spectrometry
Saved in:
| Title: | Determination of benzene, toluene, ethylbenzene, xylenes in water at sub-ngl−1 levels by solid-phase microextraction coupled to cryo-trap gas chromatography–mass spectrometry |
|---|---|
| Authors: | Lee, Maw-Rong1 mrlee@dragon.nchu.edu.tw, Chang, Chia-Min1, Dou, Jianpeng1,2 |
| Source: | Chemosphere. Nov2007, Vol. 69 Issue 9, p1381-1387. 7p. |
| Subjects: | Water analysis, Benzene, Toluene, Ethylbenzene, Extraction (Chemistry), Chromatographic analysis |
| Abstract: | A trace analytical method of benzene, toluene, ethylbenzene and xylenes (BTEX) in water has been developed by using headspace solid-phase microextraction (HS-SPME) coupled to cryo-trap gas chromatography–mass spectrometry (GC–MS). The chromatographic peak shape for BTEX was improved by using cryo-trap equipment. The HS-SPME experimental procedures to extract BTEX from water were optimized with a 75μm carboxen/polydimethylsiloxane (CAR/PDMS)-coated fiber at a sodium chloride concentration of 267gl−1, extraction for 15min at 25°C and desorption at 290°C for 2min. Good linearity was verified in a range of 0.0001–50μgl−1 for each analyte (r 2 =0.996–0.999). The limits of detection (LODs) of BTEX in water reached at sub-ngl−1 levels. LODs of benzene, toluene, ethylbenzene, m/p-xylene and o-xylene were 0.04, 0.02, 0.05, 0.01 and 0.02ngl−1, respectively. The proposed analytical method was successfully used for the quantification of trace BTEX in ground water. The results indicate that HS-SPME coupled to cryo-trap GC–MS is an effective tool for analysis of BTEX in water samples at the sub-ngl−1 level. [Copyright &y& Elsevier] |
| Copyright of Chemosphere is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
Be the first to leave a comment!