School of Technology, University of Campinas, R. Paschoal Marmo, 1888, Limeira, SP, 13484-332, Brazil.
School of Technology, University of Campinas, R. Paschoal Marmo, 1888, Limeira, SP, 13484-332, Brazil.
Chemosphere. 2023 Nov;341:139839. doi: 10.1016/j.chemosphere.2023.139839. Epub 2023 Aug 19.
Atmospheric Particulate Matter (PM) is a pollutant with diverse origins, exhibiting varying chemical compositions, and undergoes several molecular transformations in the atmosphere. In this study, PM samples (PM, PM and TSP) were collected in five Brazilian cities (Camboriú-SC; Catalão-GO; Florianópolis-SC; Limeira-SP and Novo Hamburgo-RS) during the four seasons of the year. Analysis of Variance (ANOVA) was used to evaluate the differences between each city and season in PM concentration. PM average concentrations were higher in the city of Limeira, compared to the other (ANOVA p-values and Tukey's test). Moreover, Tukey's test demonstrated differences between the average PM concentrations in summer and winter. Regarding TSP and PM, Tukey's test showed differences between winter and warm seasons (spring and summer). Moreover, polar compounds from the samples collected in the summer (February) and winter (August) periods were analyzed (Ultra-High-Performance Liquid Chromatography coupled to a Quadrupole Time-of-Flight Mass Spectrometer) following a non-targeted approach and annotated. This is the first study to carry out this type of analysis in these five Brazilian cities. Despite the differences in PM concentrations, profiles of polar organic compounds, showed similarities between samples/and, in general, the same compounds were present, albeit with different intensities. The annotated compounds are associated with vehicle emissions and plastics, which are considered important global air polluters. Therefore, there is an urgent necessity for comprehensive studies aimed at investigating the non-targeted compounds existing in the atmosphere. Such research can provide invaluable insights to policymakers, enabling them to formulate effective guidelines and policies to mitigate particulate matter concentration and enhance overall air quality.
大气颗粒物(PM)是一种具有多种来源、化学成分多样且在大气中经历多种分子转化的污染物。在这项研究中,在巴西的五个城市(Camboriú-SC;Catalão-GO;Florianópolis-SC;Limeira-SP 和 Novo Hamburgo-RS)在一年中的四个季节收集了 PM 样品(PM、PM 和 TSP)。方差分析(ANOVA)用于评估每个城市和季节之间 PM 浓度的差异。与其他城市相比,Limeira 市的 PM 平均浓度更高(ANOVA p 值和 Tukey 检验)。此外,Tukey 检验表明夏季和冬季的 PM 平均浓度存在差异。至于 TSP 和 PM,Tukey 检验表明冬季和温暖季节(春季和夏季)之间存在差异。此外,还对夏季(二月)和冬季(八月)采集的样本中的极性化合物进行了分析(采用非靶向方法对超高效液相色谱-四极杆飞行时间质谱联用仪采集的样品进行分析并注释)。这是首次在这五个巴西城市进行此类分析的研究。尽管 PM 浓度存在差异,但极性有机化合物的谱图在样品之间表现出相似性,并且通常存在相同的化合物,只是强度不同。注释的化合物与车辆排放和塑料有关,这些物质被认为是重要的全球空气污染物。因此,迫切需要进行综合研究,以调查大气中存在的非目标化合物。此类研究可以为政策制定者提供宝贵的见解,使他们能够制定有效的指导方针和政策,以降低颗粒物浓度并提高整体空气质量。