Measuring Nd(III) Solution Concentration in the Presence of Interfering Er(III) and Cu(II) Ions: A Partial Least Squares Analysis of Ultraviolet–Visible Spectra

Abstract

Optical spectroscopy is a powerful characterization tool with applications ranging from fundamental studies to real-time process monitoring. However, it can be difficult to apply to complex samples that contain interfering analytes which are common in processing streams. Multivariate (chemometric) analysis has been examined for providing selectivity and accuracy to the analysis of optical spectra and expanding its potential applications. Here we will discuss chemometric modeling with an in-depth comparison to more simplistic analysis approaches and outline how chemometric modeling works while exploring the limits on modeling accuracy. Understanding the limitations of the chemometric model can provide better analytical assessment regarding the accuracy and precision of the analytical result. This will be explored in the context of UV–Vis absorbance of neodymium (Nd3+) in the presence of interferents, erbium (Er3+) and copper (Cu2+) under conditions simulating the liquid–liquid extraction approach used to recycle plutonium (Pu) and uranium (U) in used nuclear fuel worldwide. The selected chemometric model, partial least squares regression, accurately quantifies Nd3+ with a low percentage error in the presence of interfering analytes and even under conditions that the training set does not describe.

Document Details

Document Type
Pub Defense Publication
Publication Date
Oct 26, 2021
Source ID
10.1177/00037028211053852

Entities

People

  • Amanda M. Lines
  • Gilbert L. Nelson
  • Jenifer Shafer
  • Poki Tse
  • Samuel A. Bryan

Organizations

  • College of Idaho
  • Colorado School of Mines
  • National Science Foundation
  • Pacific Northwest National Laboratory
  • United States Department of Energy

Tags

Readers

  • Analytical Chemistry
  • Computational Modeling and Simulation
  • Materials Science and Engineering.