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城市环境中人为化合物的识别及自动读取碎片化信息方法的评估——以河水为例

Identification of Anthropogenic Compounds in Urban Environments and Evaluation of Automated Methods for Reading Fragmentation-A Case of River Water.

作者信息

Yamamoto Atsushi, Matsumoto Naoko, Kawasaki Hideya, Arakawa Ryuichi

机构信息

Osaka City Institute of Public Health and Environmental Sciences; Kansai University; Tottori University of Environmental Studies.

Kansai University.

出版信息

Mass Spectrom (Tokyo). 2016;5(1):A0045. doi: 10.5702/massspectrometry.A0045. Epub 2016 Jun 2.

Abstract

A workflow based on liquid chromatography/high-resolution mass spectrometry (LC/HR-MS) was applied for the identification of compounds in urban environments. Substances extracted by solid-phase extraction from river water were wholly analyzed by LC/HR-MS without any purification. Fragmentation in collision-induced dissociation was manually studied for the 20 most intense ions in positive- and negative-ion electrospray ionization with accurate mass determination at a resolution of 100,000. Sixteen anthropogenic compounds in the extract were identified and confirmed using standard reference reagents. These compounds consisted of pharmaceuticals, surfactants, flame retardants, and industrial intermediates. The majority of the compounds are common in our daily life. In the identification process, two automated methods, MAGMa and MetFrag/MetFusion, for reading fragmentation were evaluated for the sixteen compounds. Although automated methods could be used to retrieve the correct molecular structures in most cases, they could not always be promoted to the top rank. Automated methods have yet to be a complete solution for identifying chemical compounds, but will considerably reduce the burden for humans in reading fragmentation.

摘要

一种基于液相色谱/高分辨率质谱(LC/HR-MS)的工作流程被应用于城市环境中化合物的鉴定。通过固相萃取从河水中提取的物质未经任何纯化,直接用LC/HR-MS进行全面分析。在正离子和负离子电喷雾电离中,对20个最强离子进行了碰撞诱导解离的碎片化手动研究,质量测定的分辨率为100,000。提取物中的16种人为化合物使用标准参考试剂进行了鉴定和确认。这些化合物包括药物、表面活性剂、阻燃剂和工业中间体。大多数化合物在我们的日常生活中很常见。在鉴定过程中,对这16种化合物评估了两种用于读取碎片化的自动化方法,即MAGMa和MetFrag/MetFusion。尽管自动化方法在大多数情况下可以用于检索正确的分子结构,但它们并不总是能排在首位。自动化方法尚未成为鉴定化合物的完整解决方案,但将大大减轻人类读取碎片化的负担。

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