Year: 2026
Type: article
Abstract: Embedded potentiostats have enabled the possibility of implementing electrochemical applications in a wide range of areas, from industry to healthcare. However, the optimization for either small size, low-cost devices, or sensor interfacing in existing platforms may lead to impractical outcomes. In this work, we propose Sensor ToolKit (STK), prototyped using off-the-shelf components and engineered to be a highly versatile, small, and low-cost platform of minimal complexity for the deployment of distributed IoT electrochemical sensors applications. The board implements an on-chip sequential input multiplexer that is especially suited for open-circuit potentiometry studies. The performance of the board was validated in potentiometric detection of potassium, hydrogen peroxide, glucose, and lactate, as well as self-current detection of hydrogen peroxide. Results show excellent analytical performance, comparable to that of benchtop instrumentation standards. The developed firmware and IoT framework enable the retrieval of sensor data wirelessly by a remote data server, which automates its real-time visualization using the Grafana web application, highlighting the potential of STK in distributed hyperconnected applications.
Source: Analytical Chemistry
Authors: Andrés Alberto Andreo Acosta, Alicia M. Maya, Simone Saporito, Moritz Kleinstraß, Jan Mitrovics, Pascal Blondeau, Francisco Javier Andrade
Institution: Universitat Rovira i Virgili
Language: English
Subfield: Bioengineering
Field: Chemical Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,500
Awards: G1237317830, SMART SENSING FOR RAPID RESPONSE TO CHEMICAL THREATS ON SOFT TARGETS, G2262748287, G2673512141, G3480869486, G3681454997, G4042783231, G425668148, G434337789, G451917667, SMART SENSING FOR RAPID RESPONSE TO CHEMICAL THREATS ON SOFT TARGETS, G5555131222, G5635532810, G5946460490, G5967599077, G6033112984, G6309062590, G6669869715, G6780882455, G6787365648, G7084143925, G7520648583, G7863371703, G8041394058, G8138088964, G8497050386, G8667377315, G8684520763, G87734845
OpenAlex ID: W7129376471