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Automated clean-up, separation and detection of polycyclic aromatic hydrocarbons in particulate matter extracts using a 2D-LC/2D-GC system: a method translation from two FIDs to two MS detectors
Stockholm University, Faculty of Science, Department of Environmental Science and Analytical Chemistry.
Stockholm University, Faculty of Science, Department of Environmental Science and Analytical Chemistry. Livsmedelsverket, Sweden.
Stockholm University, Faculty of Science, Department of Environmental Science and Analytical Chemistry. Uppsala University, Sweden.
Stockholm University, Faculty of Science, Department of Environmental Science and Analytical Chemistry.
Number of Authors: 4
2017 (English)In: Analytical and Bioanalytical Chemistry, ISSN 1618-2642, E-ISSN 1618-2650, Vol. 409, no 24, 5619-5629 p.Article in journal (Refereed) Published
Abstract [en]

An online two-dimensional (2D) liquid chromatography/2D gas chromatography system with two mass-selective detectors has been developed on the basis of a previous system with two flame ionization detectors. The method translation involved the change of carrier gas from hydrogen to helium, column dimension and detectors. The 2D system with two mass-selective detectors was validated with use of polycyclic aromatic hydrocarbon (PAH) standards and two standard reference materials from air and diesel exhaust. Furthermore, the system was applied to a real sample, wood smoke particulates. The PAH values determined correlated well with the previous data and those from the National Institute of Standards and Technology. The system enhanced the benefits of the previous system, which were limited by the low detectability and lack of mass selectivity. This study shows an automated 2D system that is valid for PAH analysis of complex environmental samples directly from crude extracts.

Place, publisher, year, edition, pages
2017. Vol. 409, no 24, 5619-5629 p.
Keyword [en]
Polycyclic aromatic hydrocarbon, Multidimensional gas chromatography, Standard reference material, Wood smoke particulates, Long-term stability
National Category
Biological Sciences Chemical Sciences
Identifiers
URN: urn:nbn:se:su:diva-147893DOI: 10.1007/s00216-017-0509-1ISI: 000409295300002OAI: oai:DiVA.org:su-147893DiVA: diva2:1151214
Available from: 2017-10-23 Created: 2017-10-23 Last updated: 2017-11-29Bibliographically approved

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