Martin Jendrlin
Performance modelling of zeolite-based potentiometric sensors
Jendrlin, Martin; Radu, Aleksandar; Zholobenko, Vladimir; Kirsanov, Dmitry
Authors
Aleksandar Radu
Vladimir Zholobenko
Dmitry Kirsanov
Abstract
Developing simple and cost-effective electrochemical sensors for widespread on-site application is of considerable practical importance in agriculture, environmental monitoring and food science. Among multiple sensing platforms, potentiometry is particularly effective in terms of simplicity, low cost and mass-production. This work is focused on a systematic analysis of the structure – performance relationship using chemometric techniques, which can be applied to sensor arrays with varying response patterns. The potentiometric sensitivity of zeolite-modified electrodes, containing thirteen synthetic and three natural zeolites, in aqueous solutions of Na+, K+, NH4+, Ca2+ and Mg2+ has been correlated with a range of zeolite characteristics using PCA and PLS modelling, thus demonstrating how structural and physical properties impact the performance of zeolite-modified potentiometric sensors. In addition to steric factors, e.g. zeolite pore size, the important characteristics governing the sensor performance are the Si/Al ratio and the presence of specific extraframework cations. For instance, K+ and Na+ show a strong effect on the potentiometric sensitivity towards Ca2+. The level of precision achieved by the PLS models indicates that semi-quantitative predictions are feasible. To improve the computational models, larger sets of data with a wider range of zeolite-modified sensors are necessary. The constituent materials of such sensors should have a set of well-defined properties, which can be controlled and tuned for a particular application. It is anticipated that synthetic rather than natural zeolites would satisfy such requirements.
Citation
Jendrlin, M., Radu, A., Zholobenko, V., & Kirsanov, D. (2022). Performance modelling of zeolite-based potentiometric sensors. Sensors and Actuators B: Chemicall, 356, 131343. https://doi.org/10.1016/j.snb.2021.131343
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 29, 2021 |
Online Publication Date | Dec 31, 2021 |
Publication Date | 2022-04 |
Deposit Date | May 30, 2023 |
Journal | Sensors and Actuators B: Chemical |
Print ISSN | 0925-4005 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 356 |
Pages | 131343 |
DOI | https://doi.org/10.1016/j.snb.2021.131343 |
Keywords | Materials Chemistry; Electrical and Electronic Engineering; Metals and Alloys; Surfaces, Coatings and Films; Condensed Matter Physics; Instrumentation; Electronic, Optical and Magnetic Materials |
Additional Information | This article is maintained by: Elsevier; Article Title: Performance modelling of zeolite-based potentiometric sensors; Journal Title: Sensors and Actuators B: Chemical; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.snb.2021.131343; Content Type: article; Copyright: © 2021 Elsevier B.V. All rights reserved. |
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