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. 2025 Sep 5;15(9):583.
doi: 10.3390/bios15090583.

A Bluetooth-Enabled Electrochemical Platform Based on Saccharomyces cerevisiae Yeast Cells for Copper Detection

Affiliations

A Bluetooth-Enabled Electrochemical Platform Based on Saccharomyces cerevisiae Yeast Cells for Copper Detection

Ehtisham Wahid et al. Biosensors (Basel). .

Abstract

Copper contamination in the environment poses significant risks to both soil and human health, making the need for reliable monitoring methods crucial. In this study, we report the use of the EmStat Pico module as potentiostat to develop a portable electrochemical biosensor for copper detection, utilizing yeast Saccharomyces cerevisiae cells immobilized on a polydopamine (PDA)-coated screen-printed electrode (SPE). By optimizing the sensor design with a horizontal assembly and the volume reduction in the electrolyte solution, we achieved a 10-fold increase in current density with higher range of copper concentrations (0-300 µM CuSO4) compared to traditional (or previous) vertical dipping setups. Additionally, the use of genetically engineered copper-responsive yeast cells further improved sensor performance, with the recombinant strain showing a 1.7-fold increase in current density over the wild-type strain. The biosensor demonstrated excellent reproducibility (R2 > 0.95) and linearity over a broad range of copper concentrations, making it suitable for precise quantitative analysis. To further enhance portability and usability, a Bluetooth-enabled electrochemical platform was integrated with a web application for real-time data analysis, enabling on-site monitoring and providing a reliable, cost-effective tool for copper detection in real world settings. This system offers a promising solution for addressing the growing need for efficient environmental monitoring, especially in agriculture.

Keywords: Saccharomyces cerevisiae; cell immobilization; copper detection; electrochemical biosensors; prototype; web-application.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
CA at 0.4 V of S. cerevisiae yeast cells cultured in YPD and immobilized on a PDA-coated SPE. (a) Current density measurements were performed by using the EmStat Pico module as potentiostat in the presence of different concentrations of CuSO4. (b) Relationship between current density and CuSO4 concentrations and comparison of correlation coefficients (R2) for single-channel, EmStat Pico, and multi-channel potentiostats during chronoamperometry at 2500 s.
Figure 2
Figure 2
Modified protocol for immobilization of S. cerevisiae yeast cells on SPE using PDA matrix and schematic representation of horizontal assembly for electrochemical characterization of biosensors using EmStat Pico development board.
Figure 3
Figure 3
CA at 0.4 V of S. cerevisiae yeast cells cultured (a) in YPD or (b) in SCD, and immobilized on a PDA-coated SPE in the presence of different concentrations of CuSO4 under aerobic conditions using EmStat Pico system with horizontal assembly, (c) relationship between current density and CuSO4 concentrations and comparison of correlation coefficients (R2) for cell growth in YPD or SCD at 1000 s.
Figure 4
Figure 4
CA at 0.4 V of S. cerevisiae engineered yeast cells (a) C1 and (b) C2 cultured in SCD-Ura with different concentrations of CuSO4 under aerobic conditions using EmStat Pico system with horizontal assembly, (c) relationship between current density and CuSO4 concentrations and comparison of correlation coefficients (R2) for C1, C2, and WT cells at 1000 s.
Figure 5
Figure 5
(a) Working prototype of handheld device with in-house biosensors connected to Android tablet for electrochemical quantification of CuSO4, (b) display of index page of web application, (c) display of data visualization page of web application for i-T trace, (d) display of data visualization page of web application for classification of sample into different categories based on current density values at 2500 s of CA data [28].
Figure 6
Figure 6
Working information flow and system architecture of the proposed Python-based web application for real-time monitoring of different concentrations of copper captured by the developed handheld device [28].

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