Suppr超能文献

利用印度卡特尼市和瑞瓦市的两种地衣物种测定大气重金属含量。

Determination of atmospheric heavy metals using two lichen species in Katni and Rewa cities, India.

作者信息

Bajpai Rajesh, Mishra G K, Mohabe S, Upreti Dalip K, Nayaka S

机构信息

Lichenology Laboratory, National Botanical Research Institute (CSIR), Rana Pratap Marg, Lucknow - 226 001, India.

出版信息

J Environ Biol. 2011 Mar;32(2):195-9.

Abstract

A biomonitoring study was conducted to assess the levels of atmospheric heavy metal pollution in Katni and Rewa cities of Madhya Pradesh, state in central India. The Pyxine cocoes and Phaeophyscia hispidula, two epiphytic foliose lichen were used as bioindicators in the present study and seven metals (As, Al, Cd, Cr, Fe, Zn, Pb) were analyzed in naturally growing thallus. The concentrations of these metals was observed to be in higher range as maximum values of Al, Cd, Cr and Zn were reported from the lichen samples from Rewa city which was 561.8 +/- 2.4, 6.8 +/- 0.8, 35.2 +/- 1.4, 214.6 +/- 2.0 microg g(-1) dry weight respectively. Whereas As, Fe and Pb were reported maximum in the lichen samples collected from Katni city areas with 33.4 +/- 0.05, 689.4 +/- 2.6, 13.3 +/- 0.5 microg g(-1) dry weight respectively. However the accumulation of Cd and Pb from both the cities are more or less similar in concentration. The selectivity sequence of metals were Fe>Al>Zn>As>Cr>Pb>Cd in Katni city, and Al>Fe>Zn>Cr>As>Pb>Cd in Rewa city. The findings of this study indicates that extent of heavy metal pollution in the atmosphere of the two cities which may lead to adverse health affects.

摘要

进行了一项生物监测研究,以评估印度中部中央邦卡特尼市和瑞瓦市的大气重金属污染水平。在本研究中,使用两种叶状附生地衣——椰岛牛皮叶和粗毛褐盘衣作为生物指示物,并对自然生长的地衣体中的七种金属(砷、铝、镉、铬、铁、锌、铅)进行了分析。观察到这些金属的浓度处于较高范围,因为瑞瓦市地衣样本中铝、镉、铬和锌的最大值分别为561.8±2.4、6.8±0.8、35.2±1.4、214.6±2.0微克/克干重。而从卡特尼市地区采集的地衣样本中,砷、铁和铅的含量最高,分别为33.4±0.05、689.4±2.6、13.3±0.5微克/克干重。然而,两个城市中镉和铅的积累浓度或多或少相似。卡特尼市金属的选择性顺序为铁>铝>锌>砷>铬>铅>镉,瑞瓦市为铝>铁>锌>铬>砷>铅>镉。本研究结果表明,这两个城市大气中的重金属污染程度可能会对健康产生不利影响。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验