Physical Isolation as a Low-Cost Strategy to Mitigate Electrochemical Interference in pH–DO (Dissolved Oxygen) Multisensor Systems

https://doi.org/10.22146/juliet.v7i2.119263

Riski Fitriani(1*), Bernadus Herdi Sirenden(2), Irmansyah Irmansyah(3), Erus Rustami(4), Alwi Supandi(5), Fito Wigunanto Herminawan(6)

(1) Department of Physics, IPB University and Research Center for Electronics, National Research & Innovation Agency
(2) Research Center for Electronics, National Research & Innovation Agency
(3) Department of Physics, IPB University
(4) Department of Physics, IPB University
(5) Department of Physics, Jenderal Soedirman University
(6) Research Center for Electronics, National Research & Innovation Agency
(*) Corresponding Author

Abstract


The integration of pH and dissolved oxygen (DO) sensors in multisensor systems can introduce electrochemical interference, reducing measurement stability and accuracy. This study investigated the interference mechanism and evaluated the effectiveness of a simple physical isolation strategy using non-conductive plastic shielding. Five experimental configurations were evaluated: no isolation, pH sensor isolation, DO sensor isolation, dual-sensor isolation, and two shielding geometries with side-hole and bottom-hole designs. System performance was assessed using drift and relative error as indicators of measurement stability. The results showed that physical isolation substantially reduced electrochemical interference. Among the evaluated configurations, simultaneous isolation of both sensors achieved the best performance, producing the lowest drift value of 0.03 pH/min. Furthermore, the side-hole shielding configuration outperformed the bottom-hole configuration by providing a more stable sensing environment and reducing interference by up to 82.3%. These findings demonstrate that optimizing the physical arrangement and shielding geometry of electrochemical sensors can effectively mitigate sensor interference without requiring complex electronic circuitry or algorithm-based compensation. This study provides a simple, low-cost, and practical approach for improving the reliability of multisensor water-quality monitoring systems.

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DOI: https://doi.org/10.22146/juliet.v7i2.119263

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