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测定 8 台重油火力发电蒸汽锅炉排放物中的镍形态。

Determination of nickel species in stack emissions from eight residual oil-fired utility steam-generating units.

机构信息

Department of Chemical and Materials Engineering, University of Kentucky, 103 S. J. Whalen Building, 533 S. Limestone Street, Lexington, Kentucky 40506-0043, USA.

出版信息

Environ Sci Technol. 2011 Jul 15;45(14):6188-95. doi: 10.1021/es200823a. Epub 2011 Jun 28.

DOI:10.1021/es200823a
PMID:21711052
Abstract

XAFS spectroscopy has been used to determine the Ni species in particulate matter collected on quartz thimble filters in the stacks of eight residual (No. 6 fuel) oil-burning electric utility steam-generating units. Proper speciation of nickel in emitted particulate matter is necessary to correctly anticipate potential health risks. Analysis of the spectroscopic data using least-squares linear combination methods and a newly developed method specific for small quantities of Ni sulfide compounds in such emissions show that potentially carcinogenic Ni sulfide compounds are absent within the detection limits of the method (≤ 3% of the total Ni) in the particulate matter samples investigated. In addition to the major nickel sulfate phase (NiSO(4)·6H(2)O), lesser amounts of (Ni,Mg)O and/or NiFe(2)O(4) were also identified in most emission samples. On the basis of the results from these emission characterization studies, the appropriateness of the U.S. Environmental Protection Agency's assumption that the Ni compound mixture emitted from residual oil-fired power plants is 50% as carcinogenic as nickel subsulfide (Ni(3)S(2)) should be re-evaluated.

摘要

XAFS 光谱学已被用于确定在 8 个残余(No. 6 燃料)油燃烧的电力蒸汽发电站烟囱的石英套管过滤器上收集的颗粒物中的镍物种。正确的镍在排放颗粒物中的形态对于正确预测潜在的健康风险是必要的。使用最小二乘线性组合方法和一种新开发的方法对光谱数据进行分析,该方法专门用于分析此类排放物中少量的镍硫化物化合物,结果表明,在所研究的颗粒物样品中,潜在致癌的镍硫化物化合物在检测限(≤总镍的 3%)以下不存在。除了主要的硫酸镍相(NiSO(4)·6H(2)O)外,在大多数排放物样品中还发现了较少量的(Ni,Mg)O 和/或 NiFe(2)O(4)。基于这些排放特征研究的结果,应该重新评估美国环境保护署的假设,即从残余油燃烧发电厂排放的镍化合物混合物的致癌性是镍亚硫化物(Ni(3)S(2))的 50%。

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