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Updated: Jan 17, 2026

Laser-heating and Radiance Spectrometry for the Study of Nuclear Materials in Conditions Simulating a Nuclear Power Plant Accident
Published on: December 14, 2017
Chemometrics and visible diffuse reflectance spectroscopy to classify plutonium dioxide
Luke R Sadergaski1, Cannon Giglio1, Daniel E Felton2
1Radioisotope Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Abstract:
Diffuse reflectance (DR) spectra in the Vis-NIR (∼380-1050 nm) region were acquired for a series of PuO2 samples with a spot size of about 10 × 10 μm. Two batches of six PuO2 samples, synthesized approximately 7.5 months apart, were prepared using both Pu(III) and Pu(IV) oxalate precursors at three distinct calcination temperatures (450, 650, and 950 °C). This yielded a total of 12 PuO2 samples and 433 DR spectra. The DR spectrum of PuO2 contained numerous peaks in the visible region, and characteristic features were identified with respect to calcination temperature and chemistry. A distinct peak multiplet near 615 nm was observed for samples prepared at low calcination temperatures, and a peak near 660 nm was observed for higher calcination temperatures. A multivariate classification strategy based on principal component analysis (PCA) was developed to distinguish PuO2 calcination temperatures of 450, 650, and 950 °C with 100 % accuracy. Classification results also indicate the potential to distinguish chemical processing history (i.e., Pu(III) or Pu(IV)) based on the spectra with 72 % accuracy based on k-nearest neighbors applied to the PCA scores. Partial least squares discriminant analysis was used to identify variation among batches with 88 % accuracy and found that peaks near 669, 681, 811, and 970 nm were the most useful for predicting the batch identity. This work demonstrates how micro-diffuse reflectance spectroscopy and chemometrics can be used to classify PuO2 processing history based on Vis-NIR spectral features. Combining the chemometric approach with mapping sequences could provide a rapid, nondestructive approach to classify Pu oxide materials for environmental, forensics, and nonproliferation applications.
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