Reid Antoinette M, Brougham Concepta A, Fogarty Andrew M, Roche James J
Endocrine Disruption Group, Department of Life and Physical Sciences, School of Science, Athlone Institute of Technology, Dublin Road, Athlone, Co. Westmeath, Ireland.
Int J Anal Chem. 2009;2009:325496. doi: 10.1155/2009/325496. Epub 2010 Feb 3.
The application of an acid digestion and subsequent solid-phase extraction (SPE) procedure were implemented as preliminary treatments prior to quantifying the levels of potentially endocrine disrupting metals (EDMs) in a variety of solid and liquid matrices. These included (solid) river sediment, leachate sediment and sewage sludge and also (liquid) river water, landfill leachate, concentrated leachate, sewage influent, and sewage effluent, sampled in the Irish Midlands. The total concentrations of cobalt (Co), cadmium (Cd), copper (Cu), chromium (Cr), nickel (Ni), lead (Pb), zinc (Zn), and manganese (Mn), after extraction and preconcentration, were determined by atomic absorption spectroscopy (AAS). Mercury (Hg) in sediment and sludge was determined using cold-vapour atomic fluorescence spectroscopy (AFS). For sewage sludge maximum values (mg/kg(dw)) of 4700 Ni, 1642 Mn, 100.0 Cd, 3400 Zn, 36.70 Co, 750.0 Pb, 485.8 Cr, and 1003 Cu were determined whilst in leachate sediment, maximum values (mg/kg(dw)) of 32.10 Ni, 815.0 Mn, 32.78 Cd, 230.3 Zn, 26.73 Co, 3525 Pb, 124.9 Cr, and 50.13 Cu were found. Over several months, the data showed elevated levels in sewage influents, effluents, and sludges compared to a battery of adjacent river water samples and corresponding sediments. There was a definite trend for target values for sediments to be exceeded, while intervention values were only exceeded for cadmium. Overall the pattern in terms of concentration was sewage > leachate > river matrices. A nonparametric assessment of the effect of sewage treatment method on median metal levels in sludge revealed statistically significant differences at the 95% level of confidence for Co, Cr, and Hg and at the 90% level of confidence for Cd.
在对各种固体和液体基质中潜在的内分泌干扰金属(EDM)水平进行定量之前,采用了酸消解及随后的固相萃取(SPE)程序作为预处理方法。这些基质包括(固体)河流沉积物、渗滤液沉积物和污水污泥,以及(液体)河水、垃圾渗滤液、浓缩渗滤液、污水进水和污水出水,均取自爱尔兰中部地区。萃取和预浓缩后,通过原子吸收光谱法(AAS)测定钴(Co)、镉(Cd)、铜(Cu)、铬(Cr)、镍(Ni)、铅(Pb)、锌(Zn)和锰(Mn)的总浓度。沉积物和污泥中的汞(Hg)采用冷蒸气原子荧光光谱法(AFS)测定。对于污水污泥,测定的最大值(mg/kg(干重))为:镍4700、锰1642、镉100.0、锌3400、钴36.70、铅750.0、铬485.8和铜1003;而在渗滤液沉积物中,测定的最大值(mg/kg(干重))为:镍32.10、锰815.0、镉32.78、锌230.3、钴26.73、铅3525、铬124.9和铜50.13。在几个月的时间里,数据显示与一系列相邻的河水样本及相应沉积物相比,污水进水、出水和污泥中的水平有所升高。沉积物的目标值有被超过的明确趋势,而只有镉超过了干预值。总体而言,浓度模式为污水>渗滤液>河流基质。对污水处理方法对污泥中金属中位数水平的影响进行的非参数评估显示,在95%的置信水平下,钴、铬和汞存在统计学显著差异,在90%的置信水平下,镉存在统计学显著差异。