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首页> 外文期刊>Journal of mass spectrometry: JMS >Identification strategies for flame retardants employing time-of-flight mass spectrometric detectors along with spectral and spectra-less databases
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Identification strategies for flame retardants employing time-of-flight mass spectrometric detectors along with spectral and spectra-less databases

机译:使用飞行时间质谱检测器以及光谱和无光谱数据库的阻燃剂识别策略

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摘要

In the past, the preferred strategy for the identification of unknown compounds was to search in an appropriate mass spectral database for spectra obtained using either electron ionisation (GC-MS analyses) or collision-induced dissociation (LC-MS/MS analyses). Recently, an increase has been seen in the use of accurate mass instruments and spectra-less databases, based on monoisotopic accurate mass alone. In this article, we describe a systematic workflow for the screening and identification of new flame retardants. This approach utilises LC-quadrupole-time-of-flight MS and spectra-less databases based only on monoisotopic accurate mass for the identification of 'unknowns'. An in-house database was built, and the input parameters used in the data analysis process were optimised for flame retardant chemicals, so that it can be easily transferred to other laboratories. The procedure was successfully applied to dust, foam and textiles from car interiors and indoor consumer products. The developed method was demonstrated for the main new flame retardant present in Antiblaze V6 and for the three unreported reaction by-products/impurities present in the same technical mixture. Copyright (C) 2015 John Wiley & Sons, Ltd.
机译:过去,识别未知化合物的首选策略是在适当的质谱数据库中搜索使用电子电离(GC-MS分析)或碰撞诱导解离(LC-MS / MS分析)获得的光谱。近来,仅基于单同位素精确质量,使用精确质量仪器和无光谱数据库的使用已见增加。在本文中,我们描述了用于筛选和鉴定新型阻燃剂的系统工作流程。这种方法仅基于单同位素精确质量利用LC四极杆飞行时间MS和无光谱数据库来识别“未知物”。建立了一个内部数据库,并针对阻燃化学品优化了数据分析过程中使用的输入参数,以便可以轻松地将其转移到其他实验室。该程序已成功应用于汽车内饰和室内消费品中的灰尘,泡沫和纺织品。已针对Antiblaze V6中存在的主要新型阻燃剂以及同一技术混合物中存在的三种未报告的反应副产物/杂质证明了开发的方法。版权所有(C)2015 John Wiley&Sons,Ltd.

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