A More Reliable Equivalent Circuit of Electrochemical Sensors for Robust Design of CMOS Front-Ends

Electrochemical sensors integrated with CMOS circuits play a pivotal role in quantifying various chemicals across a huge spectrum of applications, prominently in distributed diagnostics and remote monitoring. When designing integrated devices, meticulous consideration of the electrochemical sensor model becomes imperative, particularly in the CMOS design of electrochemical front-ends. This article proposes a thorough analysis of the prevalent equivalent circuits for the sensor often considered by CMOS designers, elucidating the substantial limitations inherent in two models largely used and widely recognized in the literature. On the other hand, a more comprehensive and precise electrical model is proposed, poised to enhance the robustness of the resulting circuit designs. The comparison between in vitro measurements and simulation results by considering these three models demonstrates the inherent inaccuracies in the two models conventionally used, while highlighting the improved accuracy of the proposed new electrical model. Using the dopamine detection with a fabricated digital potentiostat as a model example of CMOS design, the conventional electrical equivalent circuits manifest a noteworthy 60% difference in current readings within a sampling time of 600 ms, compared to the measurements, which are instead better followed by the more robust proposed new model. Furthermore, when evaluating saturation risk, the conventional models exhibit a staggering 110% error compared to the measurements and the proposed model.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-03-31
DOI
https://doi.org/10.1109/jsen.2025.3554450
Citations
2
Primary Topic
Analog and Mixed-Signal Circuit Design
Type
article
Field-Weighted Citation Impact
1.35
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article

A More Reliable Equivalent Circuit of Electrochemical Sensors for Robust Design of CMOS Front-Ends

Ali Meimandi, Gian Luca Barbruni, Sandro Carrara
2 citations
IEEE Sensors Journal
Analog and Mixed-Signal Circuit Design
1.35
article

A More Reliable Equivalent Circuit of Electrochemical Sensors for Robust Design of CMOS Front-Ends

Ali Meimandi, Gian Luca Barbruni, Sandro Carrara
article en
2 citations

Abstract

Electrochemical sensors integrated with CMOS circuits play a pivotal role in quantifying various chemicals across a huge spectrum of applications, prominently in distributed diagnostics and remote monitoring. When designing integrated devices, meticulous consideration of the electrochemical sensor model becomes imperative, particularly in the CMOS design of electrochemical front-ends. This article proposes a thorough analysis of the prevalent equivalent circuits for the sensor often considered by CMOS designers, elucidating the substantial limitations inherent in two models largely used and widely recognized in the literature. On the other hand, a more comprehensive and precise electrical model is proposed, poised to enhance the robustness of the resulting circuit designs. The comparison between in vitro measurements and simulation results by considering these three models demonstrates the inherent inaccuracies in the two models conventionally used, while highlighting the improved accuracy of the proposed new electrical model. Using the dopamine detection with a fabricated digital potentiostat as a model example of CMOS design, the conventional electrical equivalent circuits manifest a noteworthy 60% difference in current readings within a sampling time of 600 ms, compared to the measurements, which are instead better followed by the more robust proposed new model. Furthermore, when evaluating saturation risk, the conventional models exhibit a staggering 110% error compared to the measurements and the proposed model.

IEEE Sensors JournalVol. 25(10)
École Polytechnique Fédérale de Lausanne (CH)
Affordable and clean energy
Openalex Percentile: Top 21%
Analog and Mixed-Signal Circuit Design
1.35
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A More Reliable Equivalent Circuit of Electrochemical Sensors for Robust Design of CMOS Front-Ends — Ali Meimandi, Gian Luca Barbruni, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS