University of Murcia, Physics of the Earth, Campus de Espinardo, 30100 Murcia, Spain; LEPABE - Laboratory for Process Engineering, Environment, Biotechnology and Energy, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal.
LEPABE - Laboratory for Process Engineering, Environment, Biotechnology and Energy, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal.
Sci Total Environ. 2014 Apr 1;476-477:114-24. doi: 10.1016/j.scitotenv.2014.01.003. Epub 2014 Jan 22.
Vegetation is a useful matrix for the quantification of atmospheric pollutants such as semi-volatile organic compounds (SVOCs). In particular, pine needles stand out as effective biomonitors due to the excellent uptake properties of their waxy layer. Having previously validated an original and reliable method to analyse pesticides in pine needles, our work team set the objective of this study to determine the levels of 18 pesticides in Pinus pinea needles collected in 12 different sampling sites in Portugal. These compounds were selected among a total of 70 pesticides by previous chemical scoring, developed to assess their probability to occur in the atmosphere. The risk of exposure was evaluated by the binomial chemical score/frequency of occurrence in the analysed samples. Levels and trends of the chemical families and target of the pesticides were obtained regarding the type of land occupation of the selected sites, including the use of advanced statistics (principal component analysis, PCA). Finally, some correlations with several characteristics of the sampling sites (population, energy consumption, meteorology, etc.) were also investigated.
植被是量化大气污染物(如半挥发性有机化合物 (SVOCs))的有用基质。特别是,由于其蜡质层具有出色的吸收特性,松针成为有效的生物监测器。在先前验证了一种分析松针中农药的原始可靠方法之后,我们的工作组将本研究的目标设定为确定在葡萄牙 12 个不同采样点采集的地中海柏松针中的 18 种农药的水平。这些化合物是从之前通过化学评分确定的总共 70 种农药中选择出来的,化学评分用于评估它们在大气中出现的可能性。通过在分析样本中出现的二项式化学评分/频率来评估接触风险。根据所选地点的土地利用类型(包括使用高级统计(主成分分析,PCA)),获得了化学家族和目标农药的水平和趋势。最后,还研究了与采样点的几个特征(人口、能源消耗、气象等)的一些相关性。