石油沥青2024,Vol.38Issue(1) :16-25.

基于气相色谱-质谱联用技术对沥青挥发有机物分析与条件优化

GC-MS Analysis Conditions and Optimization of Volatile Organic Compounds from Kunlun Asphalt

梁智清 时敬涛 张南 童华 黄宏海
石油沥青2024,Vol.38Issue(1) :16-25.

基于气相色谱-质谱联用技术对沥青挥发有机物分析与条件优化

GC-MS Analysis Conditions and Optimization of Volatile Organic Compounds from Kunlun Asphalt

梁智清 1时敬涛 1张南 1童华 2黄宏海1
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作者信息

  • 1. 中石油燃料油有限责任公司研究院,北京 100195
  • 2. 北京化工大学,北京 100029
  • 折叠

摘要

针对GC-MS定性定量分析沥青挥发性有机物的前处理方法进行了优化.一方面,对比考查了溶剂萃取(HS)、静态顶空(SE)、和固相微萃取(SPME)三种前处理技术在GS-MS分析沥青挥发性有机物组分中的差异性,结果显示固相微萃取技术在获取挥发性有机物种类和峰面积两方面均优于溶剂萃取和静态顶空方法;另一方面,对SPME-GC-MS方法进行了优化,考察了测试基质、样品质量、萃取时间、和萃取温度等的影响,得到优化的分析条件为:基质采用液体石蜡,样品质量1.0 g,萃取时间20 min,萃取温度120℃.方法学检验结果显示,此条件下SPME-GC-MS灵敏度高,重现性较好且准确可靠,可获得最为丰富的化合物种类数量信息.

Abstract

The pretreatment method for qualitative and quantitative analysis of volatile organic com-pounds in asphalt by GC-MS was optimized.On the one hand,the differences of solvent extraction(HS),static headspace(SE)and solid-phase microextraction(SPME)in the analysis of volatile organic com-pounds in asphalt by GS-MS were comparatively investigated.The results showed that solid-phase microex-traction technology was superior to solvent extraction and static headspace method in obtaining volatile organic compounds and peak area.On the other hand,the SPME-GC-MS method was optimized,and the effects of test matrix,sample quality,extraction time and extraction temperature were investigated.The optimized analy-sis conditions were obtained as follows:liquid paraffin was used as the matrix,sample quality was 1.0 g,ex-traction time was 20min,and extraction temperature was 120 ℃.The methodological test results show that un-der this condition,SPME-GC-MS has high sensitivity,good reproducibility,accuracy,and reliability,and can obtain the most abundant information on the types and quantities of compounds.

关键词

沥青/有机挥发物/组份分析/样品前处理/GC-MS

Key words

asphalt/organic volatile components/component analysis/GC-MS

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出版年

2024
石油沥青
中国石油化工集团公司齐鲁分公司胜利炼油厂

石油沥青

影响因子:0.365
ISSN:1006-7450
参考文献量14
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