Highly hydrophobic TEMPO-functionalized conducting copolymers for solid-contact ion-selective electrodes*

Solid-contact ion-selective electrodes (SCISEs) emerged as the best electrode embodiment for miniaturized, wearable and disposable sensors for ion/electrolyte measurements in body fluids. The commercialization of inexpensive single-use calibration-free electrodes requires large scale manufacturing of electrodes with reproducible calibration parameters, e.g. E0. This is perhaps the most important shortcoming of SCISEs, beside the many advantages over their conventional liquid-contact counterparts. However, adjusting the E0 value for optimal potential stability is challenging for all state-of-the-art solid-contact materials, which may combine several types of transducing mechanism (e.g. capacitive and redox materials or their combination) for enhanced potential stability and analytical performance. Therefore, here we introduce for the first time the galvanostatic intermittent titration technique (GITT) to determine the best preadjusment potential. The proof of concept is shown for a novel type of solid-contact based on the copolymerization of 3,4-ethylenedioxythiophene with perfluorinated alkyl side chain (EDOTF) and (2,2,6,6-Tetramethylpiperidin-1-yl)oxyl modified 3,4-ethylenedioxythiophene (EDOT-TEMPO). Such materials that are compliant with local electrodeposition and provide multiple functionalities, i.e. high hydrophobicity by the perfluorinated alkyl side chain, electron-to-ion transduction by the conducting polymer (EDOT) backbone and the confinement of well-defined redox couple (TEMPO), are expected to prevail as solid-contacts.

Automated summary

Solid-contact ion-selective electrodes (SCISEs) are the best electrode embodiment for miniaturized, wearable and disposable sensors for ion/electrolyte measurements in body fluids. However, large scale manufacturing with reproducible calibration parameters is a challenge for SCISEs. The galvanostatic intermittent titration technique (GITT) is introduced to determine the optimal preadjustment potential.