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中国华北新乡市细颗粒大气悬浮颗粒物的氧化潜力:污染特征、源解析及区域传输。

The oxidative potential of fine ambient particulate matter in Xinxiang, North China: Pollution characteristics, source identification and regional transport.

机构信息

Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, School of Environment, Henan Normal University, Xinxiang, 453007, China; School of Ecology & Environment, Zhengzhou University, Zhengzhou, 450001, China; College of Chemistry, Zhengzhou University, Zhengzhou, 450001, China.

Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, School of Environment, Henan Normal University, Xinxiang, 453007, China.

出版信息

Environ Pollut. 2024 Nov 1;360:124615. doi: 10.1016/j.envpol.2024.124615. Epub 2024 Jul 24.

Abstract

Atmospheric fine particulate matter (PM) can trigger the production of cytotoxic reactive oxygen species (ROS), which can trigger or exacerbate oxidative stress and pulmonary inflammation. We collected 111 daily (∼24 h) ambient PM samples within an urban region of North China during four seasons of 2019-2020. PM samples were examined for carbonaceous components, water-soluble ions, and elements, together with their oxidative potential (represent ROS-producing ability) by DTT assay. The seasonal peak DTTv was recorded in winter (2.86 ± 1.26 nmol min m), whereas the DTTm was the highest in summer (40.6 ± 8.7 pmol min μg). WSOC displayed the highest correlation with DTT activity (r = 0.84, p < 0.0001), but the influence of WSOC on the elevation of DTTv was extremely negligible. Combustion source exhibited the most significant and robust correlation with the elevation of DTTv according to the linear mixed-effects model result. Source identification investigation using positive matrix factorization displayed that combustion source (36.2%), traffic source (30.7%), secondary aerosol (15.7%), and dust (14.1%) were driving the DTTv, which were similar to the results from the multiple linear regression (MLR) analysis. Backward trajectory analysis revealed that the major air masses originate from local and regional transportation, but PM OP was more susceptible to the influence of short-distance transport clusters. Discerning the influence of chemicals on health-pertinent attributes of PM, such as OP, could facilitate a deep understanding of the cause-and-effect relationship between PM and impacts.

摘要

大气细颗粒物(PM)可引发细胞毒性活性氧(ROS)的产生,进而引发或加剧氧化应激和肺部炎症。我们在 2019-2020 年的四个季节中,于华北地区的一个城市区域收集了 111 个每日(约 24 小时)环境 PM 样本。我们通过 DTT 测定法检查了 PM 样本中的碳质成分、水溶性离子和元素,以及它们的氧化潜能(代表 ROS 产生能力)。冬季的 DTTv 季节峰值最高(2.86±1.26 nmol min m),而 DTTm 在夏季最高(40.6±8.7 pmol min μg)。WSOC 与 DTT 活性的相关性最高(r=0.84,p<0.0001),但 WSOC 对 DTTv 升高的影响极小。根据线性混合效应模型的结果,燃烧源与 DTTv 的升高相关性最显著且最强。采用正定矩阵因子分解的源识别调查显示,燃烧源(36.2%)、交通源(30.7%)、二次气溶胶(15.7%)和灰尘(14.1%)是导致 DTTv 升高的主要原因,这与多元线性回归(MLR)分析的结果相似。轨迹后向分析表明,主要气团来自本地和区域运输,但 PM OP 更容易受到短距离运输簇的影响。辨别化学物质对 PM 与健康相关属性(如 OP)的影响,有助于深入了解 PM 与影响之间的因果关系。

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