Chem. J. Chinese Universities ›› 1999, Vol. 20 ›› Issue (S1): 27.
• Atomic Spectrometry • Previous Articles Next Articles
LUO Li-Qiang1, WU Xiao-Jun1, GAN Lu1, MA Guang-Zu1, YE Qingpei2
Online:
Published:
Abstract:
In x-ray fluorescence spectrometry, matrix effects have to be corrected. The empiric equations, the theoretical coefficients and the fundamental parameters can be applied in the purpose. The classical matrix correction models include mainly Lachance-Trail,Rousseau, De Jongh, Claisse-Quentin, COLA algorithms,etc. The good results can be obtained by using a number of standards or the theoretical Alpha coefficients if the range of component concentrations in samples is not very wide. When unknown samples with a wide range of concentrations are predicted, a recalculation process of the theoretical Alpha coefficients has to be made. In addition, a spline function may be chosen to split wide range in several segments.
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LUO Li-Qiang, WU Xiao-Jun, GAN Lu, MA Guang-Zu, YE Qingpei. Comparison of Neural Networks and Theoretical Correction Models[J]. Chem. J. Chinese Universities, 1999, 20(S1): 27.
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