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首页> 外文期刊>Microchemical Journal: Devoted to the Application of Microtechniques in all Branches of Science >Determination of trace rare earth elements in fruits by microwave digestion coupled with inductively coupled plasma optical emission spectrometry
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Determination of trace rare earth elements in fruits by microwave digestion coupled with inductively coupled plasma optical emission spectrometry

机译:用电气耦合等离子体光发射光谱法耦合微波消解测定水果中痕量稀土元素

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摘要

In this work, a novel method was developed for the determination of trace rare earth elements (REEs) in fruit samples by microwave digestion coupled with inductively coupled plasma optical emission spectrometry (ICP-OES) after preconcentration with N, N, N', N'-tetraoctyl diglycolamide (TODGA). The parameters affecting the extraction and back-extraction behaviors of the target analytes in liquid-liquid extraction (LLE) were studied systematically. Under the optimum conditions, the limits of detection (3 sigma, n = 7) for the target REEs of interest were in the range of 0.0548 (Tb)-0.541 (La) mu g L-1, and the tolerable concentration ratios were reaches 4 orders of magnitude for the common interfering ions. The relative standard deviations (c = 100 mu g L-1, n = 7) were from 0.6% (Sm) to 3.3% (La) with the wide linear range spanned three orders of magnitude (R-2 > 0.999). The recoveries for the spiked fruit samples were ranged from 92.1% to 104%. The proposed method has the advantages of simple operation, good anti-interference ability, simultaneous determine 16 REEs, which has been successfully applied for analysis of REEs in the 10 locally collected fruit samples, thereby exhibits application potential for the analysis of trace REEs in biological samples with complex matrix.
机译:在这项工作中,通过用N,N,N',N,N,N',N '---tretrectyl diglycolamide(Todga)。系统地研究了影响液体 - 液萃取(LLE)中靶分析物的萃取和背提取行为的参数。在最佳条件下,感兴趣的目标REES的检测限(3 sigma,n = 7)在0.0548(TB)-0.541(LA)MU G L-1的范围内,并且达到耐受浓度比率共同干扰离子的4个级别。相对标准偏差(C =100μg1-1,n = 7)为0.6%(SM)至3.3%(LA),宽线性范围截止了三个数量级(R-2> 0.999)。掺入水果样品的回收率为92.1%至104%。该方法的操作简单,抗干扰能力良好,同时确定16个REES,已成功应用于10个局部收集的水果样品中的REES分析,从而展示了生物学中微量REES的应用潜力。样品复杂矩阵。

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