ICP——AES法在第二级观测As189.042nm分析线的干扰图

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。     

微波消解/ICP-AES法分析冶炼厂固废中重金属

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。     

ICP-AES法测定农田土壤中重金属含量

土壤样品经预处理后,采用微波溶样消解法提取农田土壤中的有效态铜、锌元素,通电感耦合等离子体原子发射光谱法(ICP-AES),在最佳测定条件下利用标准曲线法,完成对土壤中有效态铜、锌元素的测定.测定方法操作简便、线性范围大,结果精密度高、准确度好,可以满足农田土壤样品中有效铜、锌元素的测定需要.     

耐候钢中微量元素的测定

本文分别用化学法和电感耦合等离子体发射光谱法(ICP-AES)测定了Corten-B和Sten3两种耐候钢中Cr、Cu、Mn、Sb、Si、V、P、Ti等8种微量元素的含量,并与传统的化学法进行了对比.试验证明ICP-AES光谱法不但技术简便、快速、易于推广应用,而且ICP-AES光谱法和微波消解技术联用在微量元素测量上有更准确、安全等方面的优点.另外,ICP-AES仅通过对少量样屑的一次溶样即可得到全部元素的分析结果,节省了钢样,这对于难以取样的情况尤为有利.     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.     

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.     

AAS与ICP－AES间接测定天然水中硫酸盐

本文以与过量形成ＢａＳＯ＿４沉淀反应为基础，较详细地讨论了反应条件、从而拟定了用ＡＡＳ和ＩＣＰ－ＡＥＳ间接测定天然水中的方法、确定了方法的精密度，ＡＡＳ法的ＲＳＤ％为１．５，ＩＣＰ－ＡＥＳ法为３．２．两种方法对比分析的结果接近，误差为１．０％（相对）。用于天然水中的测定，获得满意的结果。     

ICP-AES法测定中药川附子微量重金属元素

本工作采用ＩＣＰ－ＡＥＳ法分析中药川附子中微量重金属元素。通过对潞党参标准样品的分析与ＡＡＳ法的结果比较,确定了方法的准确度。应用该法弄清了川附子炮制前后微量重金属的含量及其浓度变化情况,从而为川附子的开发与国际化提供了科学依据。     

Study of Trace and Heavy Metals in Rural and Urban Aerosols of Uludağ and Bursa (Turkey)

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.     

新民城市居民头发重金属含量测定及相关分析

文章采用电感耦合等离子体原子发射光谱法(ICP-AES)及原子荧光光谱法(AFS)对辽宁省新民市城市居民不同年龄、性别群体头发中镉(Cd),铅(Pb),汞(Hg),砷(As)等重金属含量进行了测定,比较并分析了人发中各种重金属含量水平及与年龄、性别的关系。结果表明,新民市城市居民整体群体头发中镉,铅,砷,汞等4种重金属平均含量分别为(0.14±0.10),(3.80±2.43),(0.29±0.17),(0.39±0.21)mg/kg,均在中国居民头发中重金属含量正常值上限以下。回归分析表明,头发中所测定的重金属中只有金属Hg含量变化与年龄之间存在线性关系(R2=0.71);单因素方差(One-way ANOVA)分析表明,不同年龄群体间Cd,Pb,Hg,As等重金属含量无显著性差异(p>0.05);皮尔逊相关分析表明各重金属含量与年龄、性别之间无显著相关性(p>0.05)。