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通过非靶向分析和多变量建模探索东亚大气细颗粒物的化学复杂性和来源

Exploring the Chemical Complexity and Sources of Airborne Fine Particulate Matter in East Asia by Nontarget Analysis and Multivariate Modeling.

作者信息

Froment Jean, Park Jong-Uk, Kim Sang-Woo, Cho Yoonjin, Choi Soobin, Seo Young Hun, Baik Seungyun, Lee Ji Eun, Martin Jonathan W

机构信息

Department of Environmental Science, Stockholm University, Stockholm 10691, Sweden.

Department of Environmental Chemistry and Health Effects, NILU, Kjeller 2027, Norway.

出版信息

Environ Sci Technol. 2025 Feb 11;59(5):2623-2640. doi: 10.1021/acs.est.4c09615. Epub 2025 Jan 27.

DOI:10.1021/acs.est.4c09615
PMID:39871117
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11823462/
Abstract

The complex and dynamic nature of airborne fine particulate matter (PM) has hindered understanding of its chemical composition, sources, and toxic effects. In the first steps of a larger study, here, we aimed to elucidate relationships between source regions, ambient conditions, and the chemical composition in water extracts of PM samples ( = 85) collected over 16 months at an observatory in the Yellow Sea. In each extract, we quantified elements and major ions and profiled the complex mixtures of organic compounds by nontarget mass spectrometry. More than 50,000 nontarget features were detected, and by consensus of in silico tools, we assigned a molecular formula to 13,907 features. Oxygenated compounds were most prominent, followed by mixed nitrogenated/oxygenated compounds, organic sulfates, and sulfonates. Spectral matching enabled identification or structural annotation of 43 substances, and a workflow involving SIRIUS and MS-DIAL software enabled annotation of 74 unknown per- and polyfluoroalkyl substances with primary source regions in China and the Korean Peninsula. Multivariate modeling revealed seasonal variations in chemistry, attributable to the combination of warmer temperatures and maritime source regions in summer and to cooler temperatures and source regions of China in winter.

摘要

空气中细颗粒物(PM)的复杂性和动态性阻碍了人们对其化学成分、来源和毒性效应的理解。在一项更大规模研究的初步阶段,我们旨在阐明黄海某观测站在16个月内采集的85个PM样本水提取物中源区、环境条件和化学成分之间的关系。在每个提取物中,我们对元素和主要离子进行了定量分析,并通过非靶向质谱对有机化合物的复杂混合物进行了剖析。检测到了50000多个非靶向特征,通过计算机工具的共识,我们为13907个特征确定了分子式。含氧化合物最为突出,其次是含氮/氧化合物、有机硫酸盐和磺酸盐。光谱匹配能够识别或对43种物质进行结构注释,涉及SIRIUS和MS-DIAL软件的工作流程能够对74种在中国和朝鲜半岛有主要源区的未知全氟和多氟烷基物质进行注释。多变量建模揭示了化学组成的季节性变化,这归因于夏季温度较高和海洋源区以及冬季温度较低和中国源区的综合影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/1f7f474b0d8b/es4c09615_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/820234f099ba/es4c09615_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/6faa5ab82625/es4c09615_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/8dc65a215bd6/es4c09615_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/66358916b4d7/es4c09615_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/0af1e6730e92/es4c09615_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/d7d1adfcebd4/es4c09615_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/1f7f474b0d8b/es4c09615_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/820234f099ba/es4c09615_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/6faa5ab82625/es4c09615_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/8dc65a215bd6/es4c09615_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/66358916b4d7/es4c09615_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/0af1e6730e92/es4c09615_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/d7d1adfcebd4/es4c09615_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/11823462/1f7f474b0d8b/es4c09615_0007.jpg

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本文引用的文献

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Contribution of water-soluble extracts to the oxidative and inflammatory effects of atmospheric aerosols: A critical review.水溶性提取物对大气气溶胶氧化和炎症作用的贡献:批判性综述。
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Factors affecting recent PM concentrations in China and South Korea from 2016 to 2020.
2016 年至 2020 年期间影响中国和韩国 PM 浓度的因素。
Sci Total Environ. 2023 Jul 10;881:163524. doi: 10.1016/j.scitotenv.2023.163524. Epub 2023 Apr 17.
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Global estimates of daily ambient fine particulate matter concentrations and unequal spatiotemporal distribution of population exposure: a machine learning modelling study.全球每日环境细颗粒物浓度估计值及其人口暴露的不平等时空分布:机器学习建模研究。
Lancet Planet Health. 2023 Mar;7(3):e209-e218. doi: 10.1016/S2542-5196(23)00008-6.
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Outside the Safe Operating Space of a New Planetary Boundary for Per- and Polyfluoroalkyl Substances (PFAS).超越全氟和多氟烷基物质(PFAS)新行星边界安全运行空间之外。
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