4.6 Article

Optimizations of packed sorbent and inlet temperature for large volume-direct aqueous injection-gas chromatography to determine high boiling volatile organic compounds in water

期刊

JOURNAL OF CHROMATOGRAPHY A
卷 1356, 期 -, 页码 221-229

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.chroma.2014.06.033

关键词

High boiling volatile organic compounds; Direct aqueous injection; Large volume; Gas chromatography; Packed sorbent

资金

  1. National High-Tech Research and Development Program [2007AA06A404]
  2. National Key Scientific and Technological Project for Water Pollution Control and Management [2012ZX07506-004]

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For the expanded application area, fast trace analysis of certain high boiling point (i.e., 150-250 degrees C) volatile organic compounds (HVOCs) in water, a large volume-direct aqueous injection-gas chromatography (LV-DAI-CC) method was optimized for the following parameters: packed sorbent for sample on-line pretreatment, inlet temperature and detectors configuration. Using the composite packed sorbent self-prepared with lithium chloride and a type of diatomite, the method enabled safe injection of an approximately 50-100 mu L sample at an inlet temperature of 150 degrees C in the splitless mode and separated HVOCs from water matrix in 2 min. Coupled with a flame ionization detector (FID), an electron capture detector (ECD) and a flame photometric detector (FPD), the method could simultaneously quantify 27 HVOCs that belong to seven subclasses (i.e., halogenated aliphatic hydrocarbons, chlorobenzenes, nitrobenzenes, anilines, phenols, polycyclic aromatic hydrocarbons and organic sulfides) in 26 min. Injecting a 50 mu L sample without any enrichment step, such as cryotrap focusing, the limits of quantification (LOQs) for the 27 HVOCs was 0.01-3 mu g/L. Replicate analyses of the 27 HVOCs spiked source and river water samples exhibited good precision (relative standard deviations <= 11.3%) and accuracy (relative errors <= 17.6%). The optimized LV-DAI-GC was robust and applicable for fast determination and automated continuous monitoring of HVOCs in surface water. (C) 2014 Elsevier B.V. All rights reserved.

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