Low-cost, syringe based ion-selective electrodes for the evaluation of potassium in food products and pharmaceuticals

21 March 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Over the years, ion-selective electrodes (ISEs) have become routine means of analysis for industrial, environmental, and clinical applications, allowing for rapid, non-invasive, and easy disease monitoring and diagnostics. Their enormous advantages include wide dynamic range, ease of operation and low detector cost. Sets of ion-selective electrodes selective towards various ions can easily be assembled into an electronic tongue system. The additional information gained from other electrodes can help overcome the ISE’s inherent limitations, such as the need for recalibration in more complex samples of variable ionic strength. In this work we developed low-cost ion-selective electrodes made from disposable syringes equipped with plasticized PVC membranes. To characterize the system we have chosen well-studied ionophore valinomycin, and the results in model solutions were comparable to standard ISE electrodes fabricated using commercial bodies. However, quantification of potassium in real samples showed, as expected, that measurement in complex, more concentrated solutions of higher ionic strength, such as beetroot soup, tomato-based food products, and dried fruits, are reproducible but subject to relative error up to 76 %. To overcome this limitation, we have constructed an electronic tongue based on the low-cost syringe electrodes. Different compositions of the array were tested with a series of multivariate algorithms. We have shown that adding a single type of electrode coupled with an ensemble random forest model allows us to quantify potassium in a wide range of food products, and pharmaceutical supplements without recalibration. Compared to a quantification of potassium using a standard calibration curve, the root mean square error of prediction was almost six times lower. We have also shown how the array can be designed to achieve comparable analytical performance using less selec-tive ionophores, such as dibenzo-18-crown-6 instead of valinomycin.

Keywords

Potentiometry
Ion-selective electrodes
electronic tongue
machine learning
random forest algorithm

Supplementary materials

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Supporting information - Low-cost, syringe based ion-selective electrodes for the evaluation of potassium in food products and pharmaceuticals
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The file contains the list of samples used for analysis (Table SI.1 Information about measured samples and their measured pH), PCA scores presenting the clustering of samples for different sensing array compositions (Fig. SI 1 PCA Scores plot for different compositions of the sensing array) and predictions for different types of algorithms and sensing array compositions (Fig. SI 3 Comparison of predictions for different combinations of sensors)
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