中国炼油与石油化工 ›› 2022, Vol. 24 ›› Issue (1): 48-58.

• Scientific Research • 上一篇    下一篇

Application of GC-qqqMS/MS in Gasoline Models and Regions Identification

王欣   

  1. 中国人民公安大学
  • 收稿日期:2021-06-21 修回日期:2022-02-07 出版日期:2022-03-30 发布日期:2022-03-30
  • 通讯作者: 王欣 E-mail:wangx1113@126.com
  • 作者简介:2021-09-21
  • 基金资助:
    十三五国家重点研发项目《爆炸、纵火现场残留物和产物综合检验鉴定技术研究》;公安部技术研究计划《纵火案件中常见助燃剂质谱特征研究及研判分析技术手册编制》

Application of GC-qqqMS/MS in Gasoline Models and Regions Identification

  1. People's Public Security University of China
  • Received:2021-06-21 Revised:2022-02-07 Online:2022-03-30 Published:2022-03-30

摘要: Based on GC-qqqMS/MS, a qualitative and quantitative analysis method for characteristic markers in gasolines was established. According to the established method, different models (92#, 95#, 98#) and regions (south, central, northeast, northwest China) of gasoline were studied and analyzed. The results show that the gasolines can be classified by the relative contents of aromatics, naphthalene series, indene and other characteristic substances. On the basis of the high sensitivity and selectivity of GC-qqqMS/MS, the experiment has identified the characteristic substances, and used characteristic-ratios methods and stoichiometric tools to achieve the models and regional differences of gasolines. It is conducive to the identification and classification of ILR in public security in fire cases, and meets the actual handling demand.

关键词: GC-qqqMS/MS, Gasoline, Characteristic markers, Identification and classification

Abstract: Based on GC-qqqMS/MS, a qualitative and quantitative analysis method for characteristic markers in gasolines was established. According to the established method, different models (92#, 95#, 98#) and regions (south, central, northeast, northwest China) of gasoline were studied and analyzed. The results show that the gasolines can be classified by the relative contents of aromatics, naphthalene series, indene and other characteristic substances. On the basis of the high sensitivity and selectivity of GC-qqqMS/MS, the experiment has identified the characteristic substances, and used characteristic-ratios methods and stoichiometric tools to achieve the models and regional differences of gasolines. It is conducive to the identification and classification of ILR in public security in fire cases, and meets the actual handling demand.