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<p>A unique approach to remotely quantify Cm(III) (0–100&#xa0;µg&#xa0;mL<sup>− 1</sup>) in HNO<sub>3</sub> (1–12&#xa0;M) using steady-state laser fluorescence spectroscopy and multivariate regression models was developed. Photoluminescence is amenable to remote measurements using fiber-optic cables and is sensitive to numerous lanthanide and actinide species. In-line measurements can provide feedback to support complex processing in harsh environments (e.g., hot cells) to help guide and optimize radiochemical separations. In this work, Cm(III) spectra were acquired remotely in a glove box as a function of HNO<sub>3</sub> concentration to better understand spectral characteristics and evaluate the utility of multivariate regression models in this system. The Cm(III) fluorescence peak shape, width, position, and intensity changed significantly as a function of HNO<sub>3</sub> concentration, likely because of the displacement of emission quenching inner-sphere water molecules and complexation with nitrate ions. Despite significant covariance and nonlinearity in the data, a D-optimal design strategy successfully minimized training set sample size and was used to build effective partial least squares regression models for Cm(III) and HNO<sub>3</sub> concentrations without a&#xa0;priori knowledge of solution conditions. Chemometrics for modeling complex fluorescence spectra are promising and may find widespread applicability for online analysis in numerous chemical systems found in the nuclear field.</p>

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Remote quantification of Cm(III) and HNO3 by fluorescence spectroscopy and chemometrics

  • 期刊论文

  • 发表日期：

    2025年12月16日

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  • Luke R. Sadergaski,
  • Sara E. Gilson,
  • Samantha K. Cary,
  • Hunter B. Andrews

摘要

A unique approach to remotely quantify Cm(III) (0–100 µg mL− 1) in HNO3 (1–12 M) using steady-state laser fluorescence spectroscopy and multivariate regression models was developed. Photoluminescence is amenable to remote measurements using fiber-optic cables and is sensitive to numerous lanthanide and actinide species. In-line measurements can provide feedback to support complex processing in harsh environments (e.g., hot cells) to help guide and optimize radiochemical separations. In this work, Cm(III) spectra were acquired remotely in a glove box as a function of HNO3 concentration to better understand spectral characteristics and evaluate the utility of multivariate regression models in this system. The Cm(III) fluorescence peak shape, width, position, and intensity changed significantly as a function of HNO3 concentration, likely because of the displacement of emission quenching inner-sphere water molecules and complexation with nitrate ions. Despite significant covariance and nonlinearity in the data, a D-optimal design strategy successfully minimized training set sample size and was used to build effective partial least squares regression models for Cm(III) and HNO3 concentrations without a priori knowledge of solution conditions. Chemometrics for modeling complex fluorescence spectra are promising and may find widespread applicability for online analysis in numerous chemical systems found in the nuclear field.