Determination of Halogenated Flame Retardants Using Gas Chromatography with Atmospheric Pressure Chemical Ionization (APCI) and a High-Resolution Quadrupole Time-of-Flight Mass Spectrometer (HRqTOFMS)
Determination of Halogenated Flame Retardants Using Gas Chromatography with Atmospheric Pressure Chemical Ionization (APCI) and a High-Resolution Quadrupole Time-of-Flight Mass Spectrometer (HRqTOFMS)
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DOI：
10.1021/acs.analchem.6b01550
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发表时间：
2016-12-06
影响因子：
7.4
通讯作者：
Reiner, Eric J.
中科院分区：
文献类型：
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作者：
Megson, David;Robson, Matthew;Reiner, Eric J.
采用气相色谱-大气压化学电离（APCI）高分辨四极杆飞行时间质谱（HRqTOFMS）技术，建立了测定卤代阻燃剂的方法。采用GC-APCI-HRqTOFMS新方法测定了美国国家标准与技术研究所（NIST）室内粉尘标准参考物质（SRM）中65种卤代阻燃剂（HFR）的含量。测量的准确性与NIST认证的多溴联苯醚（PBDEs）值进行了比较，对14种认证的PBDEs的平均准确度为109%，检测限为亚皮克（在柱上）。还通过GC电子电离（EI）高分辨率质谱（HRMS）分析了SRM 2585提取物，两个数据集之间具有良好的相关性（R-2值为0.996）。还在粉尘标准中筛选了25种额外的HFRs，检测到10种浓度高于检测限;它们是p-TBX、PBBZ、PBT、PBEB、TDCPP、HBBZ、EHTBB、TBBPA、BEHTBP和BTBPE。结果表明，所提出的APCI-HRqTOFMS方法是可比的，在许多情况下，现有的EI-HRMS方法的改进。
A method to determine halogenated flame retardants was developed that utilizes gas chromatography with atmospheric chemical ionization (APCI) high-resolution quadrupole time-of-flight mass spectrometry (HRqTOFMS). The new GC-APCI-HRqTOFMS method was used to determine the presence of 65 halogenated flame retardants (HFRs) in the United Sates National Institute of Standards and Technology (NIST) organic contaminants in house dust standard reference material (SRM). The accuracy of the measurements was compared to the certified NIST value for polybrominated diphenyl ethers (PBDEs) and had an average accuracy for the 14 certified PBDEs of 109% with subpicogram detection limits (on column) from a single 1 mu L injection with a run time of 18 min. SRM2585 extracts were also analyzed by GC electron ionization (EI) high-resolution mass spectrometry (HRMS), and there was an excellent correlation between the two data sets (R-2 value of 0.996). The presence of 25 additional HFRs were also screened in the dust standard, and 10 were detected in concentrations above the limits of detection; these were p-TBX, PBBZ, PBT, PBEB, TDCPP, HBBZ, EHTBB, TBBPA, BEHTBP, and BTBPE. The results presented show that the proposed APCI-HRqTOFMS method was comparable and in many cases an improvement on the existing EI-HRMS method.