Functional Integration of a Portable Non-Enzymatic Electrochemical Glucose Sensor in Simulation-Based Medical Education Through a Teleconsultation Workflow

Read full text
Authors: Leonel Vasquez-Cevallos, Darwin Castillo, Pedro Salazar, Paul E.D. Soto-Rodriguez, Franklin Parrales-Bravo, Roberto Tolozano-Benites
Cited by: 3

Abstract

Introduction: Portable non-enzymatic electrochemical glucose sensors offer potential for decentralized healthcare and medical education; however, their integration into clinically meaningful teleconsultation workflows remains limited. This study presents the functional integration of a portable copper-modified electrochemical glucose sensor into a rural web- and Android-based telemedicine platform within a simulation-based medical education framework. Materials and Methods: Screen-printed carbon electrodes were electrochemically activated and modified via copper electrodeposition. Electrochemical characterization was performed using cyclic voltammetry to identify the glucose oxidation region and chronoamperometry for quantitative detection. Glucose solutions in PBS (pH 10) were measured using 70 µL samples, and the resulting signals were converted into glucose values (mg/dL) through a calibration model and incorporated into simulated gynecological teleconsultation workflows. Results: The sensor exhibited a stable amperometric response at +0.60 V, with a linear range of 3.125–50 mM (R2 = 0.9822), an area-normalized sensitivity of 0.061 µA·mM−1·cm−2, and a limit of detection of 1.39 mM. Implementation within the simulation scenario (n = 26) demonstrated 69% high/very high perceived usability and 88% high/very high educational value. Conclusion: These results support the feasibility of integrating portable electrochemical sensing into teleconsultation-based training environments and establishing a practical framework for future validation and deployment in rural telemedicine applications.

Fields of Study & Subjects

Biosensors and Analytical Detection Electrochemical sensors and biosensors Advanced biosensing and bioanalysis techniques

Publication details

Journal / source
Preprints.org
Publisher
MDPI AG
Publication date
2 April 2026
Document type
Preprint