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利用数据处理工具对全二维气相色谱-高分辨率飞行时间质谱联用进行回顾性分析:来自东京湾富含基质的沉积物岩芯样品面临的一项挑战。

Retrospective analysis by data processing tools for comprehensive two-dimensional gas chromatography coupled to high resolution time-of-flight mass spectrometry: a challenge for matrix-rich sediment core sample from Tokyo Bay.

作者信息

Zushi Yasuyuki, Hashimoto Shunji, Tamada Masafumi, Masunaga Shigeki, Kanai Yutaka, Tanabe Kiyoshi

机构信息

Center for Environmental Measurement and Analysis, National Institute for Environmental Studies, Japan.

Center for Environmental Measurement and Analysis, National Institute for Environmental Studies, Japan.

出版信息

J Chromatogr A. 2014 Apr 18;1338:117-26. doi: 10.1016/j.chroma.2014.02.015. Epub 2014 Feb 18.

DOI:10.1016/j.chroma.2014.02.015
PMID:24630979
Abstract

Data processing tools for non-target analysis using comprehensive two-dimensional gas chromatography coupled with high-resolution time-of-flight mass spectrometry (GC×GC-HRTOFMS) were developed and applied to a sediment core in Tokyo Bay, focusing on chlorinated compounds in this study. The processing tools were classified in two different methods: (1) the consecutive use of mass defect filter followed by artificial neutral loss scan (MDF/artificial NLS) as a qualitative non-target screening method and (2) Entire Domain Combined Spectra Extraction and Integration Program (ComSpec) and two-dimensional peak sentinel (T-SEN) as a semi-quantitative target screening method. MDF/artificial NLS as a non-target screening approach revealed that PCBs, followed by octachlorodibenzo dioxin (OCDD), were the main chlorinated compounds present in all sediment layers. Furthermore, unknown peaks thought to be chlorinated compounds were found in increasing numbers, some in increasing amounts. T-SEN and ComSpec as a target screening approach were adapted for automatic semi-quantitative analysis showed that, in decreasing concentration order, PCBs, OCDD, and dichlorodiphenyltrichloroethane and its metabolites (DDEs, DDDs) were the main chlorinated pollutants in the sediments. The complementary use of both techniques allows us to extract significant chlorinated pollutants, including non-targeted compounds. This retrospective analysis by this approach performed well even on matrix-rich sediment samples and provided us an interesting insight of historical trends of pollution in Tokyo Bay.

摘要

开发了用于使用全二维气相色谱与高分辨率飞行时间质谱联用(GC×GC-HRTOFMS)进行非目标分析的数据处理工具,并将其应用于东京湾的一个沉积岩芯,本研究重点关注氯代化合物。这些处理工具分为两种不同的方法:(1)连续使用质量亏损过滤器,然后进行人工中性丢失扫描(MDF/人工NLS)作为定性非目标筛选方法,以及(2)全域组合光谱提取与积分程序(ComSpec)和二维峰哨兵(T-SEN)作为半定量目标筛选方法。作为非目标筛选方法的MDF/人工NLS表明,多氯联苯其次是八氯二苯并二恶英(OCDD)是所有沉积层中存在的主要氯代化合物。此外,被认为是氯代化合物的未知峰数量不断增加,有些含量也在增加。作为目标筛选方法的T-SEN和ComSpec适用于自动半定量分析,结果表明,按浓度递减顺序,多氯联苯、OCDD以及二氯二苯三氯乙烷及其代谢物(DDEs、DDDs)是沉积物中的主要氯代污染物。两种技术的互补使用使我们能够提取包括非目标化合物在内的重要氯代污染物。通过这种方法进行的回顾性分析即使在富含基质的沉积物样本上也表现良好,并为我们提供了东京湾污染历史趋势的有趣见解。

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