Gamelas Carla A, Canha Nuno, Justino Ana R, Nunes Alexandra, Nunes Sandra, Dionísio Isabel, Kertesz Zsofia, Almeida Susana Marta
Centro de Ciências e Tecnologias Nucleares, Instituto Superior Técnico, Universidade de Lisboa, Estrada Nacional 10, Km 139.7, 2695-066 Bobadela, Portugal.
Instituto Politécnico de Setúbal, Escola Superior de Tecnologia de Setúbal, Campus do IPS, Estefanilha, 2914-508 Setúbal, Portugal.
Plants (Basel). 2024 Dec 23;13(24):3587. doi: 10.3390/plants13243587.
A biomonitoring study of air pollution was developed in an urban-industrial area (Seixal, Portugal) using leaves of strawberry plants ( Duchesne ex Rozier) as biomonitors to identify the main sources and hotspots of air pollution in the study area. The distribution of exposed strawberry plants in the area was based on a citizen science approach, where residents were invited to have the plants exposed outside their homes. Samples were collected from a total of 49 different locations, and their chemical composition was analyzed for 22 chemical elements using X-ray Fluorescence spectrometry. Source apportionment tools, such as enrichment factors and principal component analysis (PCA), were used to identify three different sources, one geogenic and two anthropogenic (steel industry and traffic), besides plant major nutrients. The spatial distribution of elemental concentrations allowed the identification of the main pollution hotspots in the study area. The reliability of using strawberry leaves as biomonitors of air pollution was evaluated by comparing them with the performance of transplanted lichens by regression analysis, and a significant relation was found for Fe, Pb, Ti, and Zn, although with a different accumulation degree for the two biomonitors. Furthermore, by applying PCA to the lichen results, the same pollution sources were identified.
在葡萄牙塞沙尔的一个城市工业区开展了一项空气污染生物监测研究,该研究使用草莓植株(杜氏草莓)的叶片作为生物监测器,以确定研究区域内空气污染的主要来源和热点地区。该区域内暴露的草莓植株分布基于公民科学方法,即邀请居民将植株放置在自家屋外暴露。总共从49个不同地点采集了样本,并使用X射线荧光光谱法对其中22种化学元素的化学成分进行了分析。除了植物主要养分外,还使用了诸如富集因子和主成分分析(PCA)等源解析工具来识别三种不同的来源,一种是地质成因的,另外两种是人为的(钢铁工业和交通)。元素浓度的空间分布有助于确定研究区域内的主要污染热点地区。通过回归分析将草莓叶片与移植地衣的性能进行比较,评估了使用草莓叶片作为空气污染生物监测器的可靠性,结果发现铁、铅、钛和锌存在显著关系,尽管两种生物监测器的积累程度不同。此外,通过将主成分分析应用于地衣的结果,识别出了相同的污染源。