Determining Elemental Composition Using Prompt,γ Activation Analysis
Determining Elemental Composition Using Prompt,γ Activation Analysis
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DOI：
10.1021/ac9011705
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发表时间：
2009-08-15
影响因子：
7.4
通讯作者：
Revay, Zsolt
中科院分区：
文献类型：
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作者：
Revay, Zsolt
瞬发伽马射线谱有时包含数百个特征峰，并且可以从数十个伽马射线峰区域确定样品成分的质量，其中一些峰区域受到谱线干扰的影响。只有使用精确校准的检测器系统、准确的光谱数据库、高质量的光谱软件以及将原始数据转换为化学成分的复杂方法，才能进行可靠的定性和定量分析。本文介绍了即时伽马活化分析 (PGAA) 化学分析的步骤。已经构建了完整的数据简化方法，该方法使用统计程序处理大量光谱峰，根据统计标准识别化学成分，并通过根据各个峰计算的质量的最小二乘拟合来确定样品成分。详细讨论了不确定性的计算以及检测和分析限。还介绍了该方法的验证。该方法还可用于评估其他光谱技术的结果。
Prompt gamma-ray spectra sometimes contain hundreds of characteristic peaks, and the masses of the sample components can be determined from dozens of gamma-ray peak areas, some of which are affected by spectral interferences. Reliable qualitative and quantitative analyses can only be performed by using a precisely calibrated detector system, an accurate spectroscopic data library, high-quality spectroscopy software, and a sophisticated method to convert raw data into chemical composition. This article describes the steps of the chemical analysis with prompt gamma activation analysis (PGAA). A complete data reduction method has been constructed that handles the large number of spectral peaks using statistical procedures, identifies the chemical components based on statistical criteria, and determines the sample composition with a least-squares fit of the masses calculated from the individual peaks. The calculation of the uncertainties as well as the detection and analytical limits are discussed in detail. The validation of the method is also presented. The method can also be used in the evaluation of the results of other spectroscopic techniques.