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One approach for doublet deconvolution to improve reliability in spectra analysis for in vivo lead measurement.

机译:一种双峰解卷积的方法,可提高体内铅测量的光谱分析的可靠性。

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Calculation of lead concentration from K-series X-ray fluorescent studies uses a robust normalization technique based on the amplitude or area of the elastic signal. Parameter estimation of the elastic signal can be affected by the overlap of the Kbeta2 line, especially for concentrations greater than 40 ppm where the Kbeta2 amplitude can be greater than 1% of the elastic signal. We tested the combination of estimation by method of least moduli and doublet deconvolution. We found that the estimation of the area of the elastic signal is more robust to changes in the low-energy end of the region of interest with the combined method than with method of least-squares estimation and singlet processing. We recommend use of the combined method for creation of calibration curves at concentrations greater than or equal to 40 ppm.
机译:从K系列X射线荧光研究中计算铅浓度,使用了一种基于弹性信号的振幅或面积的可靠归一化技术。弹性信号的参数估计会受到Kbeta2线重叠的影响,尤其是对于浓度大于40 ppm且Kbeta2振幅可能大于弹性信号1%的浓度。我们通过最小模和双峰反卷积方法测试了估计的组合。我们发现,与最小二乘估计和单重态处理方法相比,组合方法对感兴趣区域的低能端变化的弹性信号估计更可靠。我们建议使用组合方法创建浓度大于或等于40 ppm的校准曲线。

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