4.6 Article

Determination of volatile organic compounds in pen inks by a dynamic headspace needle trap device combined with gas chromatography-mass spectrometry

期刊

JOURNAL OF CHROMATOGRAPHY A
卷 1513, 期 -, 页码 27-34

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.chroma.2017.07.030

关键词

Gas chromatography mass spectrometry; Volatile organic compounds; Pen inks; Dynamic headspace needle-trap device

资金

  1. National Natural Science Foundation of China [31471643, 31571925, 31671930]
  2. Hebei Double First Class Discipline Construction Foundation for the Discipline of Food Science and Engineering of Hebei Agricultural University [2016SPGCA18]
  3. Youth Scientific and Technological Research Foundation of the Department of Education of Hebei for Hebei Provincial Universities [QN2017085]
  4. Natural Science Foundation of Hebei Agricultural University [ZD201507]

向作者/读者索取更多资源

Some harmful volatile organic compounds (VOCs), such as methylbenzene, ethylbenzene, xylene, chlorobenzene and bromobenzene, are the commonly found chemicals in pen inks. In this work, a dynamic headspace needle-trap device (D-HS-NTD) with a ZIF-8-derived nanoporous carbon (ZIF-8-NPC) as the adsorbent was developed for the extraction of some VOCs in different pen inks prior to GC-MS detection. The main important influencing experimental parameters including the flow rate of the purge gas N-2, extraction temperature, extraction time, desorption temperature and desorption time for the extraction were optimized to obtain a high extraction efficiency. Under the optimized conditions, a good linearity was obtained in the concentration range of 0.1-400 mu g(-1) kg(-1) with the correlation coefficients (r) ranging from 0.9911 to 0.9990 for the eleven VOCs. The LODs at a signal-to-noise ratio of 3 (S/N = 3) were measured to be 10-20 ng kg(-1) for the VOCs. The developed method was applied to determine the VOCs from 20 pen inks. The recoveries of the VOCs for the method at the spiking levels of 0.5 and 20.0 mu g kg(-1) fell in the range from 80.0% to 108%. (C) 2017 Published by Elsevier B.V.

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