Ionas Alin C, Ballesteros Gómez Ana, Leonards Pim E G, Covaci Adrian
Toxicological Centre, University of Antwerp, Universiteitsplein 1, Wilrijk, 2610, Belgium.
Institute for Environmental Studies, VU University Amsterdam, de Boelelaan 1085, Amsterdam, 1081 HV, The Netherlands.
J Mass Spectrom. 2015 Aug;50(8):1031-1038. doi: 10.1002/jms.3618.
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 © 2015 John Wiley & Sons, Ltd.
过去,鉴定未知化合物的首选策略是在合适的质谱数据库中搜索使用电子电离(气相色谱 - 质谱分析)或碰撞诱导解离(液相色谱 - 串联质谱分析)获得的光谱。最近,基于单同位素精确质量的精确质量仪器和无光谱数据库的使用有所增加。在本文中,我们描述了一种用于筛选和鉴定新型阻燃剂的系统工作流程。该方法利用液相色谱 - 四极杆 - 飞行时间质谱和仅基于单同位素精确质量的无光谱数据库来鉴定“未知物”。构建了一个内部数据库,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,以便它可以轻松转移到其他实验室。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。该方法针对Antiblaze V6中存在的主要新型阻燃剂以及同一工业混合物中存在的三种未报告的反应副产物/杂质进行了验证。版权所有© 2015约翰威立父子有限公司。