设计用于测量环境中酸性和碱性空气污染物水平的环形剥光器和过滤器包

R. Stevens
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引用次数: 0

摘要

对3个野外样品的GC-MS数据文件也进行了分析。采用气相色谱保留时间和正、反向光谱匹配技术,结合严格的匹配参数,确定了目标化合物的身份。其他不在目标清单上的化合物的鉴定是基于芬尼根搜索技术。将模式识别方案应用于转换后的目标化合物数据,分类正确率达到88%。鉴别结果准确率为85%。在这三个样本中,有120次出现了75种不同的非靶化合物。两类光谱的分类结果非常吻合。然而,大量的烷烃和烯烃被错误地归类为含氯化合物。本研究的进一步细节见参考文献[2]、[3]和[4]。虽然本文中描述的研究是由美国环境保护署根据与伊利诺伊大学芝加哥分校的CR-811617合作协议资助的,但它尚未受到该机构的审查。提及商业产品不构成背书或推荐使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Annular Denuders and Filter Packs Designed to Measure Ambient Levels of Acidic and Basic Air Pollutants
The GC-MS data files for three field samples were also analyzed [3]. The identities of the target compounds were determined by using both GC retention times and a combination of forward and reverse spectral matching techniques with stringent matching parameters. The identification of other compounds not on the target list was based on a Finnigan search technique. The application of the pattern recognition scheme to the transformed data for the target compounds resulted in 88% correct classification. The compound identification results were 85% accurate. There were 75 different nontarget compounds identified in 120 occurrences in the three samples. The classification results agreed very well for the two class I and class 2 spectra. However, a very large number of alkanes and alkenes were incorrectly classified as chlorocompounds. Further details of this study are given in references [2], [3], and [4]. Although the research described in this article has been funded by the U.S. Environmental Protection Agency under Cooperative Agreement CR-811617 with the University of Illinois at Chicago, it has not been subjected to Agency review. The mention of commercial products does not constitute endorsement or recommendation for use.
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