On-line monitoring based on optical spectroscopy provides unprecedented insight into the chemical composition of process streams or batches. Amplifying this approach through utilizing multiple forms of optical spectroscopy in sensor fusion can greatly expand the number and type of chemical species that can be identified and quantified. This is demonstrated herein, on the analysis of used nuclear fuel recycling streams: highly complex processes with multiple target and interfering analytes. The optical techniques of visible absorbance, near-infrared absorbance, and Raman spectroscopy were combined to quantify plutonium(III, IV, VI), uranium(IV, VI), neptunium(IV, V, VI), and nitric acid. Chemometric modeling was used to quantify analytes in process streams in real time, and results were successfully used to enable immediate process control and generation of a product stream at a set composition ratio. This represents a significant step forward in the ability to monitor and control complex chemical processes occurring in harsh chemical environments.

中文翻译：

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传感器融合：通过可见，近红外和拉曼光谱对过程控制进行全面的实时在线监测。

基于光谱的在线监控可提供对过程流或批次的化学成分的前所未有的洞察力。通过在传感器融合中利用多种形式的光谱技术来放大此方法，可以极大地扩展可以识别和量化的化学种类的数量和类型。本文在对用过的核燃料循环流进行分析时得到了证明：具有多个目标和干扰分析物的高度复杂的过程。结合了可见吸收，近红外吸收和拉曼光谱的光学技术对quant（III，IV，VI），铀（IV，VI），n（IV，V，VI）和硝酸进行了定量。化学计量学建模用于实时量化工艺流中的分析物，结果已成功用于实现即时过程控制和以设定的组成比生成产品流。这表示在监视和控制在恶劣化学环境中发生的复杂化学过程的能力方面迈出了重要的一步。