FY-2010 Process Monitoring Technology Final Report

Orton, Christopher R.; Bryan, Samuel A.; Casella, Amanda J.; Hines, J. Wesley; Levitskaia, Tatiana G.; henkell, J.; Schwantes, Jon M.; Jordan, Elizabeth; Lines, Amanda M.; Fraga, Carlos G.; Peterson, James M.; Verdugo, Dawn E.; Christensen, Ronald N.; Peper, Shane M.

doi:10.2172/1008246

Cited by 3 publications

(3 citation statements)

References 41 publications

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“…Many systems exhibit the complex behavior that makes single variate analysis difficult, but in this Article, we focus on Pu(IV) and nitric acid (HNO 3 ) solutions. Quantifying Pu(IV) is important in nuclear materials processing, especially with regards to safeguarding and accounting of Pu, safely operating processing facilities, and safely storing Pu-containing materials . Purified Pu(IV) is often processed in HNO 3 .…”

mentioning

confidence: 99%

Multivariate Analysis for Quantification of Plutonium(IV) in Nitric Acid Based on Absorption Spectra

et al. 2017

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Development of more effective, reliable, and fast methods for monitoring process streams is a growing opportunity for analytical applications. Many fields can benefit from online monitoring, including the nuclear fuel cycle where improved methods for monitoring radioactive materials will facilitate maintenance of proper safeguards and ensure safe and efficient processing of materials. Online process monitoring with a focus on optical spectroscopy can provide a fast, nondestructive method for monitoring chemical species. However, identification and quantification of species can be hindered by the complexity of the solutions if bands overlap or show condition-dependent spectral features. Plutonium(IV) is one example of a species which displays significant spectral variation with changing nitric acid concentration. Single variate analysis (i.e., Beer's Law) is difficult to apply to the quantification of Pu(IV) unless the nitric acid concentration is known and separate calibration curves have been made for all possible acid strengths. Multivariate or chemometric analysis is an approach that allows for the accurate quantification of Pu(IV) without a priori knowledge of nitric acid concentration.

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confidence: 99%

Multivariate Analysis for Quantification of Plutonium(IV) in Nitric Acid Based on Absorption Spectra

et al. 2017

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“…The ability to identify material intentionally diverted from a liquid-liquid solvent extraction system has been demonstrated effectively. 9 The waste streams in an NUCF typically contain low concentrations of uranium in nonhomogeneous mixtures, making measurement of the uranium difficult. Thus they hinder the determination of the overall uranium material balance in the NUCF and present opportunities for material diversion.…”

Section: Nontraditional Monitoring Methodsmentioning

confidence: 99%

“…In addition, the error associated with destructive analyses scales with the size of the facility. 12 The integration of a variety of on-line process-monitoring tools with these conventional approaches could provide a more robust framework that would use both material accountancy and augmented material control via continuous process flow sheet verification.…”

Section: Process-monitoring Use For An Enhanced Iaea Approach To Nucfmentioning

confidence: 99%

Current and Proposed Process Monitoring at Uranium Conversion Facilities

Loden¹,

Gilligan²

2013

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On-line monitoring of the U(VI) concentration in 30 vol.% TBP/kerosene: an evaluation of real-time analysis in polyetheretherketone (PEEK) containers via Raman spectroscopy

Bai

Chang

et al. 2015

J Radioanal Nucl Chem

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FY-2010 Process Monitoring Technology Final Report

Cited by 3 publications

References 41 publications

Multivariate Analysis for Quantification of Plutonium(IV) in Nitric Acid Based on Absorption Spectra

Multivariate Analysis for Quantification of Plutonium(IV) in Nitric Acid Based on Absorption Spectra

Current and Proposed Process Monitoring at Uranium Conversion Facilities

On-line monitoring of the U(VI) concentration in 30 vol.% TBP/kerosene: an evaluation of real-time analysis in polyetheretherketone (PEEK) containers via Raman spectroscopy

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