Optimization and Modeling of ISe using In Situ Characterization Technics (OPTIMISTIC)

Published : 24 April 2017

The detection of ionic species such as metal cations and inorganic anions is of the first importance for the monitoring of physiological disorders, process control for food or pharmaceutical industry, or environmental monitoring of soils and water. In an analytical point of view, ISEs (Ion Sensitive Electrodes) represent the sole systems enabling in situ real-time monitoring of small ion concentrations. Since a decade, CEA is involved in their integration on miniaturized multiparametric analytical platforms for artificial organs, point of care and environmental monitoring. Indeed, the masterpiece of ISEs deals with the ion selective membrane, which is fabricated from a complex formulation (polymer, plasticizer, ionophore, aliphatic charges and solvent). Surprisingly, the basic function of the membrane is still not well understood and poorly studied in a molecular point of view. However, taking account the target application that may requires either fast response time or wide stability, the formulation of the membrane has a great impact and has to be characterized finely in terms of intimate molecular behavior of the membrane to allow reliable optimization. The OpTIMISTIC thesis project deals with this deep comprehensive characterization of the membrane function (regarding for example the role of membrane componants and their temporal evolution as well as membrane aging phenomena). For this, fine comprehensive characterization of the membrane will be performed owing to electrochemical coupled methods (such as RMN, RX diffusion and scattering…) to obtain local and temporal behavior of the membrane components during measurement and aging. This experimental approach will be coupled to modelling studies using Multiphysics models to generate parametric analysis of the membrane function that will direct its optimization regarding target applications.

A research formation on electrochemistry and/or physicochemistry is prefered for the applicant.

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