Compound identification in GC-MS by simultaneously evaluating the mass spectrum and retention index.

Compound identification in GC-MS by simultaneously evaluating the mass spectrum and retention index.
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DOI:
10.1039/c3an02171h
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发表时间:
2014-05-21
期刊:
The Analyst
影响因子:
--
通讯作者:
Zhang X
Zhang X
中科院分区:
其他
文献类型:
--
作者:
Wei X;Koo I;Kim S;Zhang X

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我们报告了一种用于GC-MS数据分析的化合物鉴定方法(SimMR),该方法使用经验混合物评分函数同时评估质谱相似性和保留指数距离。开发的SimMR方法的性能进行了比较,现有的两种化合物识别策略。一种是不考虑保留指数信息的质谱匹配法。另一种是顺序评价质谱相似性和保留指数距离的方法(SeqMR)。为了比较的目的,我们使用了NIST/EPA/NIH质谱库2005。我们的研究表明,SimMR在三种化合物鉴定方法中表现最好,与SeqMR和SM相比,SimMR的总体鉴定准确率分别提高了1.53%和4.81%。
We report a compound identification method (SimMR), which simultaneously evaluates the mass spectrum similarity and the retention index distance using an empirical mixture score function, for the analysis of GC-MS data. The performance of the developed SimMR method was compared to that of two existing compound identification strategies. One is mass spectrum matching method without incorporation of retention index information (SM). The other is the method that sequentially evaluates the mass spectrum similarity and retention index distance (SeqMR). For the comparison purpose, we used the NIST/EPA/NIH Mass Spectral Library 2005. Our study demonstrates that SimMR performs the best among the three compound identification methods, by improving the overall identification accuracy up to 1.53% and 4.81% compared to SeqMR and SM, respectively.
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