An Improved Discrete Time Amplifier-Less Potentiostat Architecture for Metabolic Sensing Applications

In this paper, an improved discrete-time potentiostat architecture is proposed. The focus is placed on the digital controller, aiming to enhance its performances, reduce measurement uncertainty and increase speed. The system is modeled including its non-linear behavior, and the impact of the digital controller parameters on the system response is analyzed through behavioral simulations. The developed mathematical model shows good agreement with the simulation results. The new controller successfully reduces the measurement uncertainty compared to a purely integral control system by up to a factor of 100 in the worst-case scenario. The system speed is also improved by approximately 40%. The new digital controller not only improves the overall performance of the system, but also does not increase significantly the hardware complexity of the system.

Authors

Institutions

Publication Details

Published
2025-11-26
DOI
https://doi.org/10.1109/dcis67520.2025.11281809
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Improved Discrete Time Amplifier-Less Potentiostat Architecture for Metabolic Sensing Applications

Andrea Sannino, A. Otín, J.I. Artigas
Analytical Chemistry and Sensors
article

An Improved Discrete Time Amplifier-Less Potentiostat Architecture for Metabolic Sensing Applications

Andrea Sannino, A. Otín, J.I. Artigas
article en

Abstract

In this paper, an improved discrete-time potentiostat architecture is proposed. The focus is placed on the digital controller, aiming to enhance its performances, reduce measurement uncertainty and increase speed. The system is modeled including its non-linear behavior, and the impact of the digital controller parameters on the system response is analyzed through behavioral simulations. The developed mathematical model shows good agreement with the simulation results. The new controller successfully reduces the measurement uncertainty compared to a purely integral control system by up to a factor of 100 in the worst-case scenario. The system speed is also improved by approximately 40%. The new digital controller not only improves the overall performance of the system, but also does not increase significantly the hardware complexity of the system.

Universidad de Zaragoza (ES)
Openalex Percentile: Top 55%
Analytical Chemistry and Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.