Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Simultaneous quantification of Zr, Mo, U, Np and Pu in technological solutions of spent nuclear fuel reprocessing with a potentiometric multisensor system. / Savosina, J.; Agafonova-Moroz, M.; Naumov, A.; Nikolaev, A.; Lumpov, A.; Babain, V.; Legin, A.; Olivieri, A.; Parastar, H.; Kirsanov, D.
в: Sensors and Actuators, B: Chemical, Том 380, 133315, 01.04.2023.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
}
TY - JOUR
T1 - Simultaneous quantification of Zr, Mo, U, Np and Pu in technological solutions of spent nuclear fuel reprocessing with a potentiometric multisensor system
AU - Savosina, J.
AU - Agafonova-Moroz, M.
AU - Naumov, A.
AU - Nikolaev, A.
AU - Lumpov, A.
AU - Babain, V.
AU - Legin, A.
AU - Olivieri, A.
AU - Parastar, H.
AU - Kirsanov, D.
N1 - Цитирования:2 Export Date: 28 November 2023 CODEN: SABCE Адрес для корреспонденции: Kirsanov, D.; Institute of Chemistry, Universitetsky Prospect, 26, Russian Federation; эл. почта: d.kirsanov@gmail.com Пристатейные ссылки: Herbst, R.S., Baron, P., Nilsson, M., Standard and advanced separation: PUREX processes for nuclear fuel reprocessing (2011), pp. 141-175. , https://doi.org/10.1533/9780857092274.2.141, Adv. Sep. Tech. Nucl. Fuel Reprocess. Radioact. Waste Treat., Elsevier; Wanna, N.N., Dobney, A., Van Hoecke, K., Vasile, M., Vanhaecke, F., Quantification of uranium, plutonium, neodymium and gadolinium for the characterization of spent nuclear fuel using isotope dilution HPIC-SF-ICP-MS (2021) Talanta, 221; Zhu, L., Hou, X., Qiao, J., Determination of 135Cs concentration and 135Cs/137Cs ratio in waste samples from nuclear decommissioning by chemical separation and ICP-MS/MS (2021) Talanta, 221; Bryan, S.A., Levitskaia, T.G., Casella, A.J., Peterson, J.M., Johnsen, A.M., Lines, A.M., Thomas, E.M., Spectroscopic on-line monitoring for process control and safeguarding of radiochemical streams in nuclear fuel reprocessing facilities (2011), pp. 95-119. , https://doi.org/10.1533/9780857092274.1.95, Adv. Sep. Tech. Nucl. Fuel Reprocess. Radioact. Waste Treat., Elsevier; Bryan, S.A., Levitskaia, T.G., Johnsen, A.M., Orton, C.R., Peterson, J.M., Spectroscopic monitoring of spent nuclear fuel reprocessing streams: an evaluation of spent fuel solutions via Raman, visible, and near-infrared spectroscopy (2011) Radiochim. Acta, 99, pp. 563-572; Kirsanov, D., Babain, V., Agafonova-Moroz, M., Lumpov, A., Legin, A., Combination of optical spectroscopy and chemometric techniques - A possible way for on-line monitoring of spent nuclear fuel (SNF) reprocessing (2012) Radiochim. Acta, 100, pp. 185-188; Kirsanov, D., Rudnitskaya, A., Legin, A., Babain, V., UV–Vis spectroscopy with chemometric data treatment: an option for on-line control in nuclear industry (2017) J. Radioanal. Nucl. Chem., 312; Lines, A.M., Hall, G.B., Asmussen, S., Allred, J., Sinkov, S., Heller, F., Gallagher, N., Bryan, S.A., Sensor fusion: comprehensive real-time, on-line monitoring for process control via visible, near-infrared, and raman spectroscopy (2020) ACS Sens.; Tse, P., Bryan, S.A., Bessen, N.P., Lines, A.M., Shafer, J.C., Review of on-line and near real-time spectroscopic monitoring of processes relevant to nuclear material management (2020) Anal. Chim. Acta, 1107, pp. 1-13; Rodionova, O.Y., Tikhomirova, T.I., Pomerantsev, A.L., Spectrophotometric determination of Rare Earth Elements in aqueous nitric acid solutions for process control (2015) Anal. Chim. Acta, 869, pp. 59-67; Debus, B., Kirsanov, D., Ruckebusch, C., Agafonova-Moroz, M., Babain, V., Lumpov, A., Legin, A., Restoring important process information from complex optical spectra with MCR-ALS: case study of actinide reduction in spent nuclear fuel reprocessing (2015) Chemom. Intell. Lab. Syst., 146, pp. 241-249; Lines, A.M., Adami, S.R., Sinkov, S.I., Lumetta, G.J., Bryan, S.A., Multivariate analysis for quantification of plutonium(IV) in nitric acid based on absorption spectra (2017) Anal. Chem., 89, pp. 9354-9359; Kirsanov, D., Babain, V., Legin, A., (2013), https://doi.org/10.4032/9789814411165, Developing sensing materials for multisensor systems on the basis of extraction data; Mahanty, B., Satpati, A.K., Kumar, S., Leoncini, A., Huskens, J., Verboom, W., Mohapatra, P.K., Development of polyvinyl chloride (PVC)-based highly efficient potentiometric sensors containing two benzene-centered tripodal diglycolamides as ionophores (2020) Sens. Actuators B Chem., 320; Kirsanov, D., Khaydukova, M., Tkachenko, L., Legin, A., Babain, V., Potentiometric sensor array for analysis of complex rare earth mixtures (2012) Electroanalysis, 24, pp. 121-130; Oleneva, E., Savosina, J., Agafonova-Moroz, M., Lumpov, A., Babain, V., Jahatspanian, I., Legin, A., Kirsanov, D., Potentiometric multisensor system for tetra- and hexavalent actinide quantification in complex rare earth metal mixtures related to spent nuclear fuel reprocessing (2019) Sens. Actuators, B Chem., 288; Agafonova-Moroz, M., Savosina, J., Voroshilov, Y., Lukin, S., Lumpov, A., Babain, V., Oleneva, E., Kirsanov, D., Quantification of thorium and uranium in real process streams of Mayak radiochemical plant using potentiometric multisensor array (2020) J. Radioanal. Nucl. Chem., 323, pp. 605-612; Savosina, J., Agafonova-Moroz, M., Yaroshenko, I., Ashina, J., Babain, V., Lumpov, A., Legin, A., Kirsanov, D., Plutonium (IV) quantification in technologically relevant media using potentiometric sensor array (2020) Sensors, 20, p. 1604; Allegrini, F., Olivieri, A.C., Recent advances in analytical figures of merit: heteroscedasticity strikes back (2017) Anal. Methods, 9, pp. 739-743; Olivieri, A.C., Analytical figures of merit: from univariate to multiway calibration (2014) Chem. Rev., 114, pp. 5358-5378; Parastar, H., Kirsanov, D., Analytical figures of merit for multisensor arrays (2020) ACS Sens., 5, pp. 580-587; Piantavini, M.S., Pontes, F.L.D., Weiss, L.X., Sena, M.M., Pontarolo, R., Comparison between ultraviolet and infrared spectroscopies for the simultaneous multivariate determination of pyrantel and praziquantel (2015) J. Braz. Chem. Soc.; Patel, M.N., Kothari, C.S., Multivariate approaches for simultaneous determination of avanafil and dapoxetine by UV chemometrics and HPLC-QbD in binary mixtures and pharmaceutical product (2016) J. AOAC Int, 99, pp. 649-663; Zilberman, B.Y., Goletskiy, N.D., Puzikov, E.A., Naumov, A.A., Kamaeva, E.A., Kudinov, A.S., Petrov, Y.Y., Skurydina, E.S., TPE and RE extraction during long-lived radionuclide partitioning in combination with PUREX-process using a single TBP-based solvent (2019) Solvent Extr. Ion.-. Exch., 37, pp. 435-445; Khaperskaya, B.I.V., V, A., Merkulov I. A, Seelev I. N, Alekseenko V.N., Goletskij N.D., Zilberman B.Y., Naumov A.A., Kamaeva E.A., Petrov Y.Y., METHOD OF PROCESSING HIGH-ACTIVITY WASTE WITH FRACTIONATION OF RADIONUCLIDES, n.d; Zilberman, N.A.A., Goletskij, B.J., D, N., Fedorov J.S., Kudinov A.S., Puzikov E.A., Kukharev D.N., METHOD OF EXTRACTION PROCESSING OF NPP SPENT NUCLEAR FUEL, n.d; Wold, S., Sjöström, M., Eriksson, L., PLS-regression: a basic tool of chemometrics (2001) Chemom. Intell. Lab. Syst., 58, pp. 109-130; Orr, M.J.L., Regularization in the selection of radial basis function centers (1995) Neural Comput., 7, pp. 606-623; Raposo, F., Evaluation of analytical calibration based on least-squares linear regression for instrumental techniques: a tutorial review (2016) TrAC Trends Anal. Chem., 77, pp. 167-185; Danzer, K., Currie, L.A., Guidelines for calibration in analytical chemistry. Part 1. Fundamentals and single component calibration (1998) Pure Appl. Chem., 70, pp. 993-1014; Cuadros Rodríguez, L., García Campaña, A.M., Jiménez Linares, C., Román Ceba, M., Estimation of performance characteristics of an analytical method using the data set of the calibration experiment (1993) Anal. Lett., 26, pp. 1243-1258; Fragoso, W., Allegrini, F., Olivieri, A.C., A new and consistent parameter for measuring the quality of multivariate analytical methods: generalized analytical sensitivity (2016) Anal. Chim. Acta, 933, pp. 43-49; Olivieri, A.C., Faber, N.M., Ferré, J., Boqué, R., Kalivas, J.H., Mark, H., Uncertainty estimation and figures of merit for multivariate calibration (IUPAC technical report (2006) Pure Appl. Chem., 78, pp. 633-661; Allegrini, F., Olivieri, A.C., IUPAC-consistent approach to the limit of detection in partial least-squares calibration (2014) Anal. Chem., 86, pp. 7858-7866; Allegrini, F., Olivieri, A.C., Sensitivity, prediction uncertainty, and detection limit for artificial neural network calibrations (2016) Anal. Chem., 88, pp. 7807-7812; Orr, M.J.L., Matlab Functions for Radial Basis Function Networks, Edinburgh, n.d; Chiappini, F.A., Goicoechea, H.C., Olivieri, A.C., MVC1_GUI: a MATLAB graphical user interface for first-order multivariate calibration. An upgrade including artificial neural networks modelling (2020) Chemom. Intell. Lab. Syst., 206; Legin, A.V., Babain, V.A., Kirsanov, D.O., Mednova, O.V., Cross-sensitive rare earth metal ion sensors based on extraction systems (2008) Sens. Actuators B Chem., 131, pp. 29-36; Babain, V.A., Legin, A.V., Kirsanov, D.O., Rudnitskaya, A.M., Tatuev, Y.M., Baulin, V.E., New chemical sensors based on extraction systems for stable fission products analysis (2009) Radiochim. Acta, 97, pp. 479-484
PY - 2023/4/1
Y1 - 2023/4/1
N2 - The chemical analysis of spent nuclear fuel (SNF) reprocessing is a very challenging research field due to the high radioactivity of process streams and their complex composition. The process managing requires thorough chemical analysis to ensure safe and efficient performance. Traditional ways of chemical control of SNF reprocessing are based on sampling methods and involve long and tedious procedures, failing to provide immediate information on the process status. Recent literature suggests that potentiometric multisensor systems can be employed for on-line control. However, up to now these systems were only studied in very simple model media. This work reports on the potentiometric multisensor array applied for the first time for the simultaneous quantification of the content of actinides (uranium, plutonium, neptunium) and several other analytes (zirconium, molybdenum and nitric acid) in the complex samples obtained from the pilot extraction unit for SNF reprocessing. The same samples were also analyzed by UV-Vis spectrometry (another prospective method for on-line control) and the analytical performance of these two methods was compared using established analytical figures of merit (sensitivity and analytical sensitivity metrics) for multivariate calibration. In spite of the extremely challenging analytical task, both simple methods provide the characteristics suitable for real industrial applications. © 2023 Elsevier B.V.
AB - The chemical analysis of spent nuclear fuel (SNF) reprocessing is a very challenging research field due to the high radioactivity of process streams and their complex composition. The process managing requires thorough chemical analysis to ensure safe and efficient performance. Traditional ways of chemical control of SNF reprocessing are based on sampling methods and involve long and tedious procedures, failing to provide immediate information on the process status. Recent literature suggests that potentiometric multisensor systems can be employed for on-line control. However, up to now these systems were only studied in very simple model media. This work reports on the potentiometric multisensor array applied for the first time for the simultaneous quantification of the content of actinides (uranium, plutonium, neptunium) and several other analytes (zirconium, molybdenum and nitric acid) in the complex samples obtained from the pilot extraction unit for SNF reprocessing. The same samples were also analyzed by UV-Vis spectrometry (another prospective method for on-line control) and the analytical performance of these two methods was compared using established analytical figures of merit (sensitivity and analytical sensitivity metrics) for multivariate calibration. In spite of the extremely challenging analytical task, both simple methods provide the characteristics suitable for real industrial applications. © 2023 Elsevier B.V.
KW - Actinides
KW - Optical spectrometry
KW - Potentiometric sensor array
KW - Process analysis
KW - Spent nuclear fuel
KW - Nuclear fuel reprocessing
KW - Sensor data fusion
KW - Spectrometry
KW - On-line controls
KW - Potentiometric sensor arrays
KW - Potentiometrics
KW - Process streams
KW - Research fields
KW - Spent nuclear fuel reprocessing
KW - Spent nuclear fuels
KW - Technological solution
KW - Potentiometers (electric measuring instruments)
UR - https://www.mendeley.com/catalogue/4ebf587b-6b59-3d7a-b32f-213320cbabcc/
U2 - 10.1016/j.snb.2023.133315
DO - 10.1016/j.snb.2023.133315
M3 - Article
VL - 380
JO - Sensors and Actuators, B: Chemical
JF - Sensors and Actuators, B: Chemical
SN - 0925-4005
M1 - 133315
ER -
ID: 114408348