Plutonium (IV) Quantification in Technologically Relevant Media Using Potentiometric Sensor Array

The quantification of plutonium in technological streams during spent nuclear fuel (SNF) reprocessing is an important practical task that has to be solved to ensure the safety of the process. Currently applied methods are tedious, time-consuming and can hardly be implemented in on-line mode. A fast...

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Autores principales: Savosina, Julia, Agafonova-Moroz, Marina, Yaroshenko, Irina, Ashina, Julia, Babain, Vasily, Lumpov, Alexander, Legin, Andrey, Kirsanov, Dmitry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147468/
https://www.ncbi.nlm.nih.gov/pubmed/32183104
http://dx.doi.org/10.3390/s20061604
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author Savosina, Julia
Agafonova-Moroz, Marina
Yaroshenko, Irina
Ashina, Julia
Babain, Vasily
Lumpov, Alexander
Legin, Andrey
Kirsanov, Dmitry
author_facet Savosina, Julia
Agafonova-Moroz, Marina
Yaroshenko, Irina
Ashina, Julia
Babain, Vasily
Lumpov, Alexander
Legin, Andrey
Kirsanov, Dmitry
author_sort Savosina, Julia
collection PubMed
description The quantification of plutonium in technological streams during spent nuclear fuel (SNF) reprocessing is an important practical task that has to be solved to ensure the safety of the process. Currently applied methods are tedious, time-consuming and can hardly be implemented in on-line mode. A fast and simple quantitative plutonium (IV) analysis using a potentiometric sensor array based on extracting agents is suggested in this study. The response of the set of specially designed PVC-plasticized membrane sensors can be related to plutonium content in solutions simulating real SNF-reprocessing media through multivariate regression modeling, providing 30% higher precision of plutonium quantification than optical spectroscopy.
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spelling pubmed-71474682020-04-20 Plutonium (IV) Quantification in Technologically Relevant Media Using Potentiometric Sensor Array Savosina, Julia Agafonova-Moroz, Marina Yaroshenko, Irina Ashina, Julia Babain, Vasily Lumpov, Alexander Legin, Andrey Kirsanov, Dmitry Sensors (Basel) Article The quantification of plutonium in technological streams during spent nuclear fuel (SNF) reprocessing is an important practical task that has to be solved to ensure the safety of the process. Currently applied methods are tedious, time-consuming and can hardly be implemented in on-line mode. A fast and simple quantitative plutonium (IV) analysis using a potentiometric sensor array based on extracting agents is suggested in this study. The response of the set of specially designed PVC-plasticized membrane sensors can be related to plutonium content in solutions simulating real SNF-reprocessing media through multivariate regression modeling, providing 30% higher precision of plutonium quantification than optical spectroscopy. MDPI 2020-03-13 /pmc/articles/PMC7147468/ /pubmed/32183104 http://dx.doi.org/10.3390/s20061604 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Savosina, Julia
Agafonova-Moroz, Marina
Yaroshenko, Irina
Ashina, Julia
Babain, Vasily
Lumpov, Alexander
Legin, Andrey
Kirsanov, Dmitry
Plutonium (IV) Quantification in Technologically Relevant Media Using Potentiometric Sensor Array
title Plutonium (IV) Quantification in Technologically Relevant Media Using Potentiometric Sensor Array
title_full Plutonium (IV) Quantification in Technologically Relevant Media Using Potentiometric Sensor Array
title_fullStr Plutonium (IV) Quantification in Technologically Relevant Media Using Potentiometric Sensor Array
title_full_unstemmed Plutonium (IV) Quantification in Technologically Relevant Media Using Potentiometric Sensor Array
title_short Plutonium (IV) Quantification in Technologically Relevant Media Using Potentiometric Sensor Array
title_sort plutonium (iv) quantification in technologically relevant media using potentiometric sensor array
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147468/
https://www.ncbi.nlm.nih.gov/pubmed/32183104
http://dx.doi.org/10.3390/s20061604
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