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基于吸收光谱的硝酸中钚(IV)的多元分析定量。

Multivariate Analysis for Quantification of Plutonium(IV) in Nitric Acid Based on Absorption Spectra.

机构信息

Energy and Environment Directorate, Pacific Northwest National Laboratory , Richland, Washington 99352, United States.

出版信息

Anal Chem. 2017 Sep 5;89(17):9354-9359. doi: 10.1021/acs.analchem.7b02161. Epub 2017 Aug 9.

Abstract

Development of more effective, reliable, and fast methods for monitoring process streams is a growing opportunity for analytical applications. Many fields can benefit from online monitoring, including the nuclear fuel cycle where improved methods for monitoring radioactive materials will facilitate maintenance of proper safeguards and ensure safe and efficient processing of materials. Online process monitoring with a focus on optical spectroscopy can provide a fast, nondestructive method for monitoring chemical species. However, identification and quantification of species can be hindered by the complexity of the solutions if bands overlap or show condition-dependent spectral features. Plutonium(IV) is one example of a species which displays significant spectral variation with changing nitric acid concentration. Single variate analysis (i.e., Beer's Law) is difficult to apply to the quantification of Pu(IV) unless the nitric acid concentration is known and separate calibration curves have been made for all possible acid strengths. Multivariate or chemometric analysis is an approach that allows for the accurate quantification of Pu(IV) without a priori knowledge of nitric acid concentration.

摘要

开发更有效、可靠和快速的方法来监测过程流是分析应用的一个不断增长的机会。许多领域都可以从在线监测中受益,包括核燃料循环,其中改进的放射性材料监测方法将有助于维持适当的保障措施,并确保材料的安全和高效处理。以光谱学为重点的在线过程监测可以提供一种快速、非破坏性的方法来监测化学物质。然而,如果波段重叠或显示出与条件相关的光谱特征,那么物种的识别和定量可能会受到溶液复杂性的阻碍。四价钚就是一个随着硝酸浓度变化显示出显著光谱变化的物种的例子。除非已知硝酸浓度并且已经为所有可能的酸度制作了单独的校准曲线,否则单变量分析(即比尔定律)很难应用于 Pu(IV)的定量。多元或化学计量学分析是一种无需先验了解硝酸浓度即可准确定量 Pu(IV)的方法。

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