在环境样本中识别未知的含化合物,使用F NMR和光谱数据库匹配
Jeremy R Gauthier1, Scott Andrew Mabury1
1Department of Chemistry, University of Toronto, 80 St George Street, Toronto, ON M5S 3H6, Canada.
Environmental science & technology
|June 1, 2023
概括
这项研究介绍了-19核磁共振 (19F NMR) 作为一种强大的工具,用于在环境样本中识别以前未计入的和多化基物质 (PFAS). 一个全面的19F NMR数据库有助于量化PFAS,改善环境质量平衡.
科学领域:
- 环境化学环境化学
- 分析化学 分析化学
- 频谱学是一种光谱学.
背景情况:
- 和多化基物质 (PFAS) 是无处不在的环境污染物.
- 目前的分析方法,如质谱法,往往无法检测出大量的化化合物.
- 这种差距阻碍了对环境中总的准确评估.
研究的目的:
- 为了证明-19核磁共振 (19F NMR) 谱学的有用性,用于识别和量化以前未被检测到的PFAS.
- 为化化合物开发一个全面的19F NMR数据库.
- 应用19F核磁共振来确定PFAS度在现实世界受污染的地点.
主要方法:
- 为数百种化化合物获取和编制19F NMR光谱.
- 构建一个可搜索的19F NMR光谱数据库.
- 使用开发的19F NMR数据库来量化PFAS的水性消防泡污染现场样本的分析.
主要成果:
- 在环境样本中成功使用了19F NMR来识别和量化PFAS.
- 开发的19F核磁共振数据库有助于分析复杂的化混合物.
- 在环境监测中证明了19F NMR在改善总的质量平衡方面的潜力.
结论:
- 19F NMR是一种无偏见和有效的分析工具,用于表征各种 PFAS,克服传统方法的局限性.
- 创建的19F NMR数据库是研究PFAS的研究人员的宝贵资源.
- 这种方法提高了准确评估PFAS环境污染的能力.
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