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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

机译:使用2D-LC / 2D-GC系统在颗粒状物质提取物中自动清理,分离和检测多环芳烃:从两个FIDS到两个MS探测器的方法

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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.
机译:具有两个质量选择探测器的在线二维(2D)液相色谱/ 2D气相色谱系统是在具有两个火焰电离探测器的先前系统的基础上开发的。 该方法翻译涉及从氢气,柱尺寸和探测器的载气的变化。 具有两个质量选择探测器的2D系统用多环芳烃(PAH)标准和来自空气和柴油排气的两个标准参考材料进行验证。 此外,将系统应用于真实样品,木烟雾颗粒。 PAH值与先前的数据和来自国家标准和技术研究所的数据相比好相关。 该系统增强了先前系统的益处,其受到低可检测性和缺乏质量选择性的限制。 本研究显示了一种自动化的2D系统,可直接从原油提取物的复杂环境样品的PAH分析有效。

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