Suppr超能文献

非靶向高分辨率质谱指纹图谱在定性和定量源解析中的应用:一个实际案例研究。

Application of Nontarget High-Resolution Mass Spectrometry Fingerprints for Qualitative and Quantitative Source Apportionment: A Real Case Study.

机构信息

South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China.

State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China.

出版信息

Environ Sci Technol. 2024 Jan 9;58(1):727-738. doi: 10.1021/acs.est.3c06688. Epub 2023 Dec 15.

Abstract

High-resolution mass spectrometry (HRMS) provides extensive chemical data, facilitating the differentiation and quantification of contaminants of emerging concerns (CECs) in aquatic environments. This study utilizes liquid chromatography-HRMS for source apportionment in Chebei Stream, an urban water stream in Guangzhou, South China. Initially, 254 features were identified as potential CECs by the nontarget screening (NTS) method. We then established 1689, 1317, and 15,759 source-specific HRMS fingerprints for three distinct sources, the mainstream (C3), the tributary (T2), and the rain runoff (R1), qualitatively assessing the contribution from each source downstream. Subsequently, 32, 55, and 3142 quantitative fingerprints were isolated for sites C3, T2, and R1, respectively, employing dilution curve screening for source attribution. The final contribution estimates downstream from sites C3, T2, and R1 span 32-96, 12-23, and 8-23%, respectively. Cumulative contributions from these sources accurately mirrored actual conditions, fluctuating between 103 and 114% across C6 to C8 sites. Yet, with further tributary integration, the overall source contribution dipped to 52%. The findings from this research present a pioneering instance of applying HRMS fingerprints for qualitative and quantitative source tracking in real-world scenarios, which empowers the development of more effective strategies for environmental protection.

摘要

高分辨率质谱(HRMS)提供了广泛的化学数据,有助于区分和定量水生环境中新兴关注污染物(CECs)。本研究利用液相色谱-HRMS 对中国南方广州市车陂溪这一城市水系进行源解析。最初,通过非靶向筛选(NTS)方法鉴定出 254 个特征为潜在 CECs。然后,我们建立了三个不同来源(主流 C3、支流 T2 和雨洪 R1)的 1689、1317 和 15759 个源特异性 HRMS 指纹图谱,定性评估每个来源对下游的贡献。随后,对 C3、T2 和 R1 三个站点进行了 32、55 和 3142 个定量指纹分离,采用稀释曲线筛选进行源归属。从 C3、T2 和 R1 站点下游的最终贡献估计分别为 32-96%、12-23%和 8-23%。这些来源的累积贡献准确反映了实际情况,在 C6 到 C8 站点之间波动在 103%至 114%之间。然而,随着更多支流的汇入,总的源贡献下降到 52%。本研究的结果提供了一个应用 HRMS 指纹图谱进行实际场景中定性和定量源追踪的开创性实例,为制定更有效的环境保护策略提供了支持。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验