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

机译:利用全反射X射线荧光智能地同时定量分析环境痕量元素

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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:全反射X射线荧光具有同时进行多元素检测,痕量分析潜力等优点。但是,重叠的结果可能会导致准确性下降,甚至在实际的定量多元素分析中甚至是错误的结果,尤其是对于环境中的痕量元素而言样品。常规方法仅考虑部分重叠效应,难以一概而论。因此,提出了一种智能的定量多元素确定方法。借助可扩展的光谱分解框架,定量分析可近似显示具有可能元素特征曲线的光谱。粒子群优化用于通过启发式方案解决问题。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。实验证明,采用该方法可以同时获得较高的测量精度和计算效率。

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