Leveraging Multiple Raman Excitation Wavelength Systems for Process Monitoring of Nuclear Waste Streams

• Published in: ACS ES&T water Vol. 2; no. 3; pp. 465 - 473
• Main Authors: Felmy, Heather M, Lackey, Hope E, Medina, Adan Schafer, Minette, Michael J, Bryan, Samuel A, Lines, Amanda M
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 11.03.2022
• Subjects: Hanford; partial least-squares (PLS) regression; Raman spectroscopy; chemometric modeling; online monitoring
• ISSN: 2690-0637; 2690-0637
• DOI: 10.1021/acsestwater.1c00408

Processing nuclear waste from sites such as Hanford is a significant environmental cleanup need while being a significant logistical challenge. Integration of process monitoring tools, which can provide in situ and real-time feedback about the process, can significantly alleviate needs to collect grab samples for process control and product characterization. Raman spectroscopy paired with chemometric analysis is one process monitoring tool that can provide chemical composition information on a large number of chemical targets in nuclear waste streams. However, methods to improve limits of detection as well as drop uncertainty in quantification are needed. Optimizing instrument specifications can achieve this; here, this is demonstrated by comparing limits of detection for key analytes when using Raman systems with 671, 532, and 405 nm excitation wavelengths. Generally, limits of detection decrease (allowing the measurement of lower salt concentrations) with decreasing wavelength. Similarly, data collection times and averaging were optimized. Finally, multiple chemometric modeling approaches were leveraged, including multiblock methods that combined data from all three Raman systems to simultaneously quantify targets with improved sensitivity.