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用ICP──AES法获得Ag、Al、Ba、Cr、Fe、Mg、Ni、Ph筹8个元素对As189.042×2nm分析线的干扰图,并测定了干扰程度。实验结果表明;浓度为As含量100倍的Ag、Ba、Fe、Mg、Ni、Ph对As分拆线几乎没有影响,而浓度为As含量100倍的Al和Cr对As分析线有一定的干扰.提出了校正和消除Al、Cr干扰的一些方法。 相似文献
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分析固体废物中金属元素全量分析的微波消解条件,通过实验确定样品的粉碎粒度、消解功率、消解温度、消解时间等因素对样品消解效果的影响,以等离子发射光谱测定冶炼厂固体废物中24种痕量金属元素,通过测定的检出限、精密度、准确度,确立冶炼厂固体废物痕量金属全量分析检测方法准确高效。 相似文献
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Trace metals distribution and their dependence on some physico-chemical parameters in creek sediment
The concentrations of the trace metals Mn, Zn, Cr, V, Co, Ni, Ba, Pb, Cu, Cd, As and Hg, their spatial distribution, and their correlation as a function of physico-chemical parameters were investigated for grab sediment samples collected from different locations across the Thane Creek, Mumbai, India. Hydride generation atomic absorption spectrometry, inductively coupled plasma atomic emission spectrometry, and differential pulse anodic stripping voltammetry were adopted for chemical analyses. Various geochemical indices were evaluated. The studied metal/metalloids were compared with sediment quality guideline values. Besides, the role of different physico-chemical parameters of the sediments such as pH, CaCO3, cation exchange capacity, total carbon, and of the relative composition in respect to very coarse, coarse and medium sand, fine sand and very fine sand, silt and clay fraction were also critically investigated. Positive one-to-one correlations between fine sand and very fine sand, silt and clay, and total carbon with sediment metal concentrations have been noticed. Multiple regression analysis reveals strong positive correlations between sediment metal concentrations and total carbon content only. 相似文献
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Samura Alusine Al-Agha Omar Tuncel Semra G. 《Water, Air, & Soil Pollution: Focus》2003,3(5-6):111-129
The concentrations of heavy, trace elements and major ions measuredin the Uluda and Bursa aerosols were investigated to assess size distributions, spatial and temporal variability, sources and source regions affecting the composition of aerosols in Uluda and Bursa. A total of 81 samples were collected in two sites, one in Bursa city and another in the Uluda Mountain during two sampling campaigns. Daily samples were collected using a high volume sampler on Whatman 41 cellulose filters in Uluda, while three days interval samples were collected in Bursa using an automatic dichotomous sampler on PTFE Teflon filters. Samples were analysed for 15 trace and heavy metals (Al, Fe, Ba, Na, Mg, K, Mn, Ca, Cu), (V, Pb, Cd, Cr, Ni, Zn), and 4 major ions (SO4
2-, NO3
-, Cl-), (NH4
+) using ICP-AES, GFAAS, HPLC and UV/VIS Spectrophotometer,respectively. In general, concentrations of the metals measured inUluda aerosols were lower than those in Bursa. The concentrations of crustal elements were higher in summer than winter, while anthropogenic elements had higher concentrations in winter than summer. Most of the mass of crustal elements was concentrated in the coarse mode while the mass of the heavy metals was concentrated in the fine mode. Factor analysis revealed four factors with sources including crustal, industrial and combustion. Back trajectory calculations were used to determine long range contributions. These calculations showed that contributions were mostly from European countries, former Soviet Union countries, Black Sea and North Africa. 相似文献
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建立了电感耦合等离子体原子发射光谱(ICP-AES)法测定磷生铁中3种元素Mn、P、Si的定量分析方法.通过试验选择257.610nm、185.942nm、212.412nm分别作为Mn、P、Si的分析谱线,无需进行光谱干扰校正.实验结果表明,各元素分析谱线线性相关系数大于0.9990.方法用于高磷铸铁标准物质分析,测定值与认定值相符,测定结果的相对标准偏差在0.21% (Mn) ~1.8% (P)范围. 相似文献