傅里叶变换离子回旋共振
化学
质谱法
软件
质谱
分析化学(期刊)
分辨率(逻辑)
功能(生物学)
接口(物质)
环境化学
色谱法
分子
人工智能
计算机科学
程序设计语言
有机化学
进化生物学
生物
吉布斯等温线
作者
Nikola Tolić,Yina Liu,Andrey Liyu,Yufeng Shen,Malak Tfaily,Elizabeth B. Kujawinski,Krista Longnecker,Li‐Jung Kuo,Errol Robinson,Ljiljana Paša‐Tolić,Nancy Hess
出处
期刊:Analytical Chemistry
[American Chemical Society]
日期:2017-11-09
卷期号:89 (23): 12659-12665
被引量:280
标识
DOI:10.1021/acs.analchem.7b03318
摘要
Ultrahigh resolution mass spectrometry, such as Fourier transform ion cyclotron resonance mass spectrometry (FT ICR MS), can resolve thousands of molecular ions in complex organic matrices. A Compound Identification Algorithm (CIA) was previously developed for automated elemental formula assignment for natural organic matter (NOM). In this work, we describe software Formularity with a user-friendly interface for CIA function and newly developed search function Isotopic Pattern Algorithm (IPA). While CIA assigns elemental formulas for compounds containing C, H, O, N, S, and P, IPA is capable of assigning formulas for compounds containing other elements. We used halogenated organic compounds (HOC), a chemical class that is ubiquitous in nature as well as anthropogenic systems, as an example to demonstrate the capability of Formularity with IPA. A HOC standard mix was used to evaluate the identification confidence of IPA. Tap water and HOC spike in Suwannee River NOM were used to assess HOC identification in complex environmental samples. Strategies for reconciliation of CIA and IPA assignments were discussed. Software and sample databases with documentation are freely available.
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