Nonlinear Multivariate Regression Algorithms for Improving Precision of Multisensor Potentiometry in Analysis of Spent Nuclear Fuel Reprocessing Solutions

Nonlinear Multivariate Regression Algorithms for Improving Precision of Multisensor Potentiometry in Analysis of Spent Nuclear Fuel Reprocessing Solutions

Potentiometric multisensor systems were shown to be very promising tools for the quantification of numerous analytes in complex radioactive samples deriving from spent nuclear fuel reprocessing. Traditional multivariate calibration for these multisensor systems is performed with partial least square...

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Bibliographic Details
Main Authors: Nadan Kravić, Julia Savosina, Marina Agafonova-Moroz, Vasily Babain, Andrey Legin, Dmitry Kirsanov
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Chemosensors
Subjects:
spent nuclear fuel
multisensor systems
potentiometric sensors
nonlinear regression
chemometrics
Online Access:https://www.mdpi.com/2227-9040/10/3/90

Internet

https://www.mdpi.com/2227-9040/10/3/90

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