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采用反相全面二维气相色谱法对来自人造气厂的密集非水相液体进行超分辨率化学指纹图谱分析。

Ultra resolution chemical fingerprinting of dense non-aqueous phase liquids from manufactured gas plants by reversed phase comprehensive two-dimensional gas chromatography.

机构信息

Department of Civil Engineering, University of Strathclyde, John Anderson Building, 107 Rottenrow, Glasgow G4 0NG, UK.

出版信息

J Chromatogr A. 2011 Jul 22;1218(29):4755-63. doi: 10.1016/j.chroma.2011.05.045. Epub 2011 May 20.

Abstract

Ultra resolution chemical fingerprinting of dense non-aqueous phase liquids (DNAPLs) from former manufactured gas plants (FMGPs) was investigated using comprehensive two-dimensional gas chromatography coupled with time of flight mass spectrometry (GC×GC TOFMS). Reversed phase GC×GC (i.e. a polar primary column coupled to a non-polar secondary column) was found to significantly improve the separation of polycyclic aromatic hydrocarbons (PAHs) and their alkylated homologues. Sample extraction and cleanup was performed simultaneously using accelerated solvent extraction (ASE), with recovery rates between 76% and 97%, allowing fast, efficient extraction with minimal solvent consumption. Principal component analysis (PCA) of the GC×GC data was performed in an attempt to differentiate between twelve DNAPLs based on their chemical composition. Correlations were discovered between DNAPL composition and historic manufacturing processes used at different FMGP sites. Traditional chemical fingerprinting methods generally follow a tiered approach with sample analysis on several different instruments. We propose ultra resolution chemical fingerprinting as a fast, accurate and precise method of obtaining more chemical information than traditional tiered approaches while using only a single analytical technique.

摘要

采用全二维气相色谱-飞行时间质谱联用技术(GC×GC-TOFMS)对来自前煤气厂(FMGPs)的稠密非水相液体(DNAPLs)进行超分辨化学指纹分析。研究发现,反相 GC×GC(即极性主柱与非极性次柱相连)可显著改善多环芳烃(PAHs)及其烷基同系物的分离效果。采用加速溶剂萃取(ASE)同时进行样品萃取和净化,回收率在 76%至 97%之间,允许快速、高效萃取,同时最大限度地减少溶剂消耗。对 GC×GC 数据进行主成分分析(PCA),尝试根据化学成分对 12 种 DNAPL 进行区分。发现 DNAPL 组成与不同 FMGP 站点使用的历史制造工艺之间存在相关性。传统的化学指纹分析方法通常采用分级方法,在几台不同的仪器上进行样品分析。我们提出超分辨化学指纹分析是一种快速、准确和精确的方法,与传统的分级方法相比,它可以在仅使用单一分析技术的情况下获得更多的化学信息。

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