Performance modelling of zeolite-based potentiometric sensors

Jendrlin, Martin; Radu, Aleksandar; Zholobenko, Vladimir L.; Kirsanov, Dmitry

doi:10.1016/j.snb.2021.131343

Cited by 7 publications

(2 citation statements)

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“…• Electrochemical sensors: the three main types of these sensors are (1) potentiometric sensors [219,220] (2) amperometric sensors [221,222] and (3) conductometric sensors [223,224]. • Wireless monitoring via wireless sensors: In recent decades, the development of wireless sensor technologies has been based on advancements in microelectromechanical systems (MEMS) technology, digital electronics, and wireless communications [225][226][227].…”

Section: Temperaturementioning

confidence: 99%

Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review

et al. 2023

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The development of Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT) techniques has rapidly evolved and matured over the past few decades. Advances in sensor technology have facilitated deploying SHM systems for large-scale structures and local NDT of structural members. Although both methods have been successfully applied to identify structural damage in various systems, Environmental and Operational Condition (EOC) variations can influence sensor measurements and mask damage signatures in the structural response. EOCs include environmental conditions, such as temperature, humidity, and wind, as well as operational conditions, such as mass loading, vibration, and boundary conditions. The effect of EOCs can significantly undermine the reliability and robustness of damage assessment technologies and limit their performance. Thus, successful SHM and NDT systems can compensate for changing EOCs. This paper provides a state-of-the-art review of the effects of EOCs on SHM and NDT systems. It presents recent developments in advanced sensing technology, signal processing, and analysis techniques that aim to eliminate the masking effect of EOC variations and increase the damage sensitivity and performance of SHM and NDT systems. The paper concludes with current research challenges, trends, and recommendations for future research directions.

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Section: Temperaturementioning

confidence: 99%

Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review

et al. 2023

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“…Recent studies have shown that QSPR can be successfully applied to modelling the sensing properties of ionophore-based potentiometric sensors, including sensitivity [ 15 ] and selectivity [ 16 , 17 ] parameters. It has also been shown that similar approaches work well with potentiometric sensors, based on inorganic materials, like zeolites [ 18 ]. The report [ 16 ] demonstrated that prediction of the selectivity coefficients for newly synthesized carbonate ionophores is possible through QSPR, with reasonable precision.…”

Section: Introductionmentioning

confidence: 99%

Predicting the Potentiometric Sensitivity of Membrane Sensors Based on Modified Diphenylphosphoryl Acetamide Ionophores with QSPR Modeling

et al. 2022

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While potentiometric, plasticized membrane sensors are known as convenient, portable and inexpensive analytical instruments, their development is time- and resource-consuming, with a poorly predictable outcome. In this study, we investigated the applicability of the QSPR (quantitative structure–property relationship) method for predicting the potentiometric sensitivity of plasticized polymeric membrane sensors, using the ionophore chemical structure as model input. The QSPR model was based on the literature data on sensitivity, from previously studied, structurally similar ionophores, and it has shown reasonably good metrics in relating ionophore structures to their sensitivities towards Cu2+, Cd2+ and Pb2+. The model predictions for four newly synthesized diphenylphosphoryl acetamide ionophores were compared with real potentiometric experimental data for these ionophores, and satisfactory agreement was observed, implying the validity of the proposed approach.

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8-Hydroxyquinoline intercalated montmorillonite composite: characterization and application for copper ion determination as potentiometric electrode

Udomphan

Sontawee

Dangsanga

2023

J Solid State Electrochem

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Performance modelling of zeolite-based potentiometric sensors

Cited by 7 publications

References 50 publications

Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review

Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review

Predicting the Potentiometric Sensitivity of Membrane Sensors Based on Modified Diphenylphosphoryl Acetamide Ionophores with QSPR Modeling

8-Hydroxyquinoline intercalated montmorillonite composite: characterization and application for copper ion determination as potentiometric electrode

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