Department of Ecology, University of Debrecen, H-4010 Debrecen, P.O. Box 71, Hungary.
Department of Inorganic and Analytical Chemistry, University of Debrecen, H-4010 Debrecen, P.O. Box 21, Hungary; Agilent Atomic Spectroscopy Partner Laboratory, University of Debrecen, Egyetem tér 1, H-4032 Debrecen, Hungary.
Sci Total Environ. 2014 Aug 15;490:514-20. doi: 10.1016/j.scitotenv.2014.05.028. Epub 2014 May 27.
Environmental health is an essential component of the quality of life in modern societies. Monitoring of environmental quality and the assessment of environmental risks are often species based on the elemental concentration of deposited dust. Our result suggested that stomata size and distribution were the most important factors influencing the accumulation of air contaminants in leaves. We found that the leaves' surfaces of Acer negundo and Celtis occidentalis were covered by a large number of trichomes, and these species have proven to be suitable biomonitors for atmospheric pollution difficult; these can be overcome using bioindicator species. Leaves of Padus serotina, Acer campestre, A. negundo, Quercus robur and C. occidentalis were used to assess the amount of deposited dust and the concentration of contaminants in deposited dust in and around the city of Debrecen, Hungary. Samples were collected from an urban, suburban and rural area along an urbanization gradient. The concentrations of Ba, Cu, Fe, Mn, Ni, Pb, S, Sr and Zn were determined in deposited dust using ICP-OES. Scanning electron microscopy (SEM) was used to explore the morphological structure and dust absorbing capacity of leaves. We found significant differences in dust deposition among species, and dust deposition correlated with trichomes' density. Principal component analysis (PCA) also showed a total separation of tree.
环境卫生是现代社会生活质量的重要组成部分。环境质量监测和环境风险评估通常是基于沉积灰尘中元素浓度的物种基础。我们的结果表明，气孔大小和分布是影响叶片中空气污染物积累的最重要因素。我们发现，枫杨和朴树的叶片表面覆盖着大量的毛状体，这些物种已被证明是适合监测大气污染的生物标志物；这些可以通过生物指示剂物种来克服。使用欧洲鹅耳枥、山毛榉、枫杨、欧洲栎和朴树的叶片来评估匈牙利德布勒森市及其周围地区沉积灰尘的数量和沉积灰尘中污染物的浓度。从城市、郊区和农村地区沿着城市化梯度采集了样本。使用 ICP-OES 测定沉积灰尘中的 Ba、Cu、Fe、Mn、Ni、Pb、S、Sr 和 Zn 浓度。扫描电子显微镜（SEM）用于研究叶片的形态结构和灰尘吸收能力。我们发现物种之间的灰尘沉积有显著差异，并且灰尘沉积与毛状体的密度相关。主成分分析（PCA）也显示了树木的完全分离。
