Department of Chemistry, Colorado School of Mines, Golden, Colorado 80401, United States.
Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
Anal Chim Acta. 2020 Apr 22;1107:1-13. doi: 10.1016/j.aca.2020.02.008. Epub 2020 Feb 10.
Spectroscopic chemometric based on-line monitoring of used nuclear fuel (UNF) reprocessing solutions and characterization of legacy nuclear waste (LNW) stored at Hanford is discussed in this manuscript. Utilizing on-line and near real-time monitoring, as opposed to traditional off-line monitoring, can significantly reduce the cost, risk and improve the efficiency of characterizing UNF and LNW processing streams. Specifically, this manuscript will highlight the benefits of spectroscopy-based monitoring approaches, which generally include the ability to collect data non-destructively. Furthermore, significant literature precedence supports the use of various real-time analysis methods, including chemometric analysis, that enable near-instantaneous conversion of spectroscopic data into information useable by process operators. This approach can accurately quantify and qualify nuclear material in near-real time enabling immediate condition characterization and potential diversion detection within UNF reprocessing streams and LNW. The ability to be applied in a real reprocessing plant and in an actual Hanford waste tank/transfer pipe has been demonstrated by applying this technique to accurately quantify analytes in real UNF streams and LNW samples. The future development of spectroscopy-based on-line monitoring is also discussed in this manuscript.
本文讨论了基于光谱化学计量学的乏核燃料（UNF）后处理溶液在线监测和储存于汉福德的遗留核废物（LNW）的特性分析。与传统的离线监测相比，利用在线和近实时监测可以显著降低成本、风险，并提高对 UNF 和 LNW 处理流进行特性分析的效率。具体来说，本文将重点介绍基于光谱学的监测方法的优势，这些方法通常包括非破坏性数据采集的能力。此外，大量文献支持使用各种实时分析方法，包括化学计量学分析，这些方法可以将光谱数据即时转换为可用于过程操作人员的信息。这种方法可以在近实时的情况下精确地定量和定性核材料，从而能够在 UNF 后处理流和 LNW 中立即进行条件特性分析和潜在的转移检测。通过将该技术应用于真实 UNF 流和 LNW 样品中分析物的精确定量，已经证明了其在实际乏核燃料后处理工厂和汉福德实际废物罐/输送管中的应用能力。本文还讨论了基于光谱学的在线监测的未来发展。
