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潜在源贡献函数与质谱检测相结合以识别大气中聚对苯二甲酸乙二酯的来源。

Potential source contribution function coupled with mass spectrometry detection to identify source of atmospheric polyethylene terephthalate.

作者信息

Yang Hanling, Zhang Junjie, Li Zhiwanxin, Pu Jian, Peng Chu, Liu Chunguang, Wang Lei

机构信息

MOE Key Laboratory of Pollution Processes and Environmental Criteria/Tianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China.

Department of Plant and Environmental Sciences (PLEN), University of Copenhagen, Thorvaldsensvej 40, DK-1871, Frederiksberg, Denmark.

出版信息

Environ Pollut. 2025 Jan 1;364(Pt 1):125325. doi: 10.1016/j.envpol.2024.125325. Epub 2024 Nov 16.

Abstract

Source identification of atmospheric microplastics (MPs) is crucial for the development of mitigation policies. Compared with wind directions or backward trajectories of air masses, the potential source contribution function (PSCF) analysis identifies more comprehensive sources of atmospheric particles. However, conducting PSCF analysis requires hourly pollutant concentration data, which cannot be met by the atmospheric MPs abundance obtained through commonly used methods. In this study, total suspended particles (TSP) samples were collected hourly and the concentrations of atmospheric polyethylene terephthalate (PET) were detected using a liquid chromatography-tandem mass spectrometry. Atmospheric concentrations of PET MPs were 112.9 ± 39.04 ng/m³ (average ± SD). Based on the hourly backward trajectories of air masses and the varied PET concentrations at the sampling site, potential sources of atmospheric PET were identified by PSCF analysis. The backward trajectory-based method indicates that atmospheric PET of the target site in this study primarily originates from dry farmlands. In comparison, both the residential areas and the dry farmlands were identified by PSCF as major sources of atmospheric PET at the receptor site. In contrast, both the backward-trajectory based method and PSCF analysis indicate that TSP mainly originates from the dry farmlands near the sampling site. This indicates that atmospheric PET in urban areas may have different sources from those of TSP, and PSCF is a suitable method for identifying sources of atmospheric PET.

摘要

确定大气微塑料(MPs)的来源对于制定缓解政策至关重要。与风向或气团的后向轨迹相比,潜在源贡献函数(PSCF)分析能够识别出更全面的大气颗粒物来源。然而,进行PSCF分析需要每小时的污染物浓度数据,而通过常用方法获得的大气MPs丰度无法满足这一要求。在本研究中,每小时采集总悬浮颗粒物(TSP)样本,并使用液相色谱 - 串联质谱法检测大气中聚对苯二甲酸乙二酯(PET)的浓度。大气中PET MPs的浓度为112.9 ± 39.04 ng/m³(平均值 ± 标准差)。基于气团的每小时后向轨迹以及采样点处变化的PET浓度,通过PSCF分析确定了大气PET的潜在来源。基于后向轨迹的方法表明,本研究中目标地点的大气PET主要来自旱地。相比之下,PSCF将居民区和旱地都确定为受体地点大气PET的主要来源。相反,基于后向轨迹的方法和PSCF分析均表明TSP主要来自采样点附近的旱地。这表明城市地区大气中的PET可能与TSP来源不同,并且PSCF是识别大气PET来源的合适方法。

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