首页> 外文期刊>Journal of Analytical Atomic Spectrometry >Comparison of inductively coupled plasma optical emission spectrometry, energy dispersive X-ray fluorescence spectrometry and laser ablation inductively coupled plasma mass spectrometry in the elemental analysis of agricultural soils
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Comparison of inductively coupled plasma optical emission spectrometry, energy dispersive X-ray fluorescence spectrometry and laser ablation inductively coupled plasma mass spectrometry in the elemental analysis of agricultural soils

机译:电感耦合等离子体发射光谱法,能量色散X射线荧光光谱法和激光烧蚀电感耦合等离子体质谱法在农业土壤元素分析中的比较

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摘要

A silica sol-gel technique was applied to the preparation of pellets of agricultural soils for determination of trace elements by laserablation inductively coupled plasma mass spectrometry (LA-ICP-MS). For the purpose of evaluation of feasibility of the LA-ICP-MS technique for quantitative determination, elemental contents in twenty two spiked archive agricultural soils and three CRMs (GBW07405, GBW07406, and GBW07407) were determined by independent analytical techniques, namely by inductively coupled plasma optical emission spectrometry with pneumatic nebulization (PN-ICP-OES) after total decomposition with a mixture of acids, and by energy dispersive X-ray fluorescence (ED-XRF) spectrometry analysis of pellets prepared with a wax binder. Ablation was carried out with a Nd:YAG laser at 213 nm. Possible matrix interferences associated with ablation of the multiphase soil material were anticipated and therefore, the sequential extraction procedure was employed for fractionation analysis to determine elemental concentrations, in particular soil constituents, for explaining potential deviations of LA-ICP-MS analyses. Methods were compared based on the determination of ordinarily monitored trace elements Cu, Cr, Ni, Pb and Zn in archive soils and certified reference materials. The PN-ICP-OES, ED-XRF and LA-ICP-MS methods were compared by means of linear regression analysis to search for a possible systematic proportional or constant error. Besides the ordinary least-squares linear regression method, also weighted least squares, orthogonal, Deming, maximum likelihood and Passing-Bablok regressions were employed. The Bland-Altman plot and score plot based on principal component analysis (PCA) were used for visual comparison.
机译:硅胶溶胶-凝胶技术用于制备农业土壤颗粒,通过激光烧蚀电感耦合等离子体质谱法(LA-ICP-MS)测定微量元素。为了评估LA-ICP-MS技术进行定量测定的可行性,采用独立的分析技术,即通过电感耦合,确定了22种加标档案农业土壤和3种CRM(GBW07405,GBW07406和GBW07407)中的元素含量。在与酸混合物完全分解后,通过气动雾化(PN-ICP-OES)进行等离子等离子体发射光谱分析,并通过能量色散X射线荧光光谱(ED-XRF)光谱分析使用蜡粘合剂制备的颗粒。用Nd:YAG激光在213nm处进行消融。预料到了与多相土壤物质的烧蚀有关的可能的基质干扰,因此,采用顺序萃取程序进行分馏分析以确定元素浓度,特别是土壤成分,以解释LA-ICP-MS分析的潜在偏差。根据确定监测土壤和认证参考物质中通常监测的微量元素Cu,Cr,Ni,Pb和Zn的方法,对方法进行了比较。通过线性回归分析比较了PN-ICP-OES,ED-XRF和LA-ICP-MS方法,以寻找可能的系统比例误差或恒定误差。除了普通的最小二乘线性回归方法外,还使用加权最小二乘,正交,戴明,最大似然和Passing-Bablok回归。基于主成分分析(PCA)的Bland-Altman图和得分图用于视觉比较。

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  • 来源
    《Journal of Analytical Atomic Spectrometry》 |2013年第12期|1940-1948|共9页
  • 作者单位

    Department of Chemistry, Laboratory of Atomic Spectrochemistry, Faculty of Science,Masaryk University, Kotlarska 2, CZ-611 37 Brno, Czech Republic;

    Department of Chemistry, Laboratory of Atomic Spectrochemistry, Faculty of Science,Masaryk University, Kotlarska 2, CZ-611 37 Brno, Czech Republic,CEPLANT, R&D Center for Low-cost Plasma and Nanotechnology Surface Modifications, Masaryk University, Kotlafska 2, 611 37 Brno, Czech Republic;

    Department of Chemistry, Laboratory of Atomic Spectrochemistry, Faculty of Science,Masaryk University, Kotlarska 2, CZ-611 37 Brno, Czech Republic,CEITEC, Central European Institute of Technology (CEITEC), Masaryk University,Kamenice 5, 625 00 Brno, Czech Republic;

    Department of Chemistry, Laboratory of Atomic Spectrochemistry, Faculty of Science,Masaryk University, Kotlarska 2, CZ-611 37 Brno, Czech Republic,CEITEC, Central European Institute of Technology (CEITEC), Masaryk University,Kamenice 5, 625 00 Brno, Czech Republic;

    Department of Chemistry, Laboratory of Atomic Spectrochemistry, Faculty of Science,Masaryk University, Kotlarska 2, CZ-611 37 Brno, Czech Republic,CEITEC, Central European Institute of Technology (CEITEC), Masaryk University,Kamenice 5, 625 00 Brno, Czech Republic;

    Department of Analytical and Food Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, A-1090 Vienna, Austria;

    Department of Food Biochemistry and Analysis, Tomas Bata University in Zlin, T. G. Masaryka 5555, CZ-762 72 Zlin, Czech Republic;

    Department of Chemistry, Laboratory of Atomic Spectrochemistry, Faculty of Science,Masaryk University, Kotlarska 2, CZ-611 37 Brno, Czech Republic,CEITEC, Central European Institute of Technology (CEITEC), Masaryk University,Kamenice 5, 625 00 Brno, Czech Republic;

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