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Intelligent simultaneous quantification of environmental trace elements with total reflection X-ray fluorescence

机译:具有全反射X射线荧光的环境微量元素智能定量

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Total reflection X-ray fluorescence has advantages of simultaneous multi-element detection, potential of trace analysis, etc. However, overlapping effects may lead to loss of accuracy or even faulty results in practical quantitative multi-element analysis, especially for trace elements in environmental samples. Conventional approaches consider only partial overlapping effects and are difficult to be generalized. Thus, an intelligent quantitative multi-element determination method is proposed. With a scalable spectral decomposition framework, quantification becomes approximating measured spectra with characteristic curves of possible elements. Particle swarm optimization is used to solve the problem with a heuristic scheme. Trace elements, including K, Cr, Mn, Fe, Co, Ni, As and Pb, are measured simultaneously on the established TXRF analysis platform. Experiments verify that high measurement precision and computational efficiency can both be obtained by adopting the proposed method.
机译:总反射X射线荧光具有同时多元素检测,痕量分析的潜力等的优点。然而,在实际定量的多元素分析中,重叠效果可能导致精度损失甚至有错误的结果,特别是对于环境中的微量元素样品。常规方法仅考虑部分重叠效果,并且难以推广。因此,提出了一种智能定量的多元素确定方法。利用可伸缩的光谱分解框架,量化变为近似测量光谱,具有可能元素的特性曲线。粒子群优化用于解决启发式方案的问题。在已建立的TXRF分析平台上同时测量痕量元素,包括K,Cr,Mn,Fe,Co,Ni,As和Pb。实验验证了通过采用所提出的方法可以获得高测量精度和计算效率。

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