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Plutonium(IV) quantification in acidic process solutions using partial least-squares regression applied to UV–Vis spectrophotometry

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Abstract

In this study, a Partial Least-Squares (PLS) regression approach mainly based on a lab-produced calibration set enhanced with a few process samples is proposed. Comparison with spectrophotometric reference offline measurements and predictions by PLS is presented on a validation set composed of real process solutions. The mean difference between the presented model predictions and offline measurements is less than 5%. The results show that this approach can be effective for process control and can successfully replace usual sample preparations and time-consuming calibration procedures if the model is constructed properly.

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Authors and Affiliations

  1. CEA, DAM, Valduc, 21120, Is-sur-Tille, France

    Guillaume Bailly, Didier Maloubier & Guillaume Legay

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  1. Guillaume Bailly
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  2. Didier Maloubier
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  3. Guillaume Legay
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Correspondence to Guillaume Bailly.

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Bailly, G., Maloubier, D. & Legay, G. Plutonium(IV) quantification in acidic process solutions using partial least-squares regression applied to UV–Vis spectrophotometry. J Radioanal Nucl Chem 331, 1267–1273 (2022). https://doi.org/10.1007/s10967-022-08205-4

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