We propose a steady state model for ion selective membranes (ISM) as selectivity element in potentiometric sensors. The model solves the Poisson-Boltzmann equation, coupled to distributed chemical reactions between ionophores and two types of competing ions. We show that a Donnan potential arises when ionic sites are present, while selectivity is achieved only if using ionophore-doped ISMs. The model allows to evaluate cross-sensitivities and can explain steady state non-Nernstian responses. We also provide an application example of sensor parameter design supported by the proposed model.
Modeling Selectivity and Cross-sensitivity in membrane-based potentiometric sensors / Mele, L. J.; Palestri, P.; Selmi, L.. - (2020), pp. 1-4. (Intervento presentato al convegno 2020 Joint International EUROSOI Workshop and International Conference on Ultimate Integration on Silicon, EUROSOI-ULIS 2020 tenutosi a fra nel 2020) [10.1109/EUROSOI-ULIS49407.2020.9365285].
Modeling Selectivity and Cross-sensitivity in membrane-based potentiometric sensors
Palestri P.;Selmi L.
2020
Abstract
We propose a steady state model for ion selective membranes (ISM) as selectivity element in potentiometric sensors. The model solves the Poisson-Boltzmann equation, coupled to distributed chemical reactions between ionophores and two types of competing ions. We show that a Donnan potential arises when ionic sites are present, while selectivity is achieved only if using ionophore-doped ISMs. The model allows to evaluate cross-sensitivities and can explain steady state non-Nernstian responses. We also provide an application example of sensor parameter design supported by the proposed model.
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