In Situ Determination of Chlorella Concentration Using Single Entity Electrochemistry

Harmful algal blooms pose significant risks to water resource management and aquatic ecosystem health, rendering early detection of algal bloom proliferation essential. In this study, we present an electrochemical strategy for the real-time detection of individual <i>Chlorella</i> cells using the single-particle collision method at an ultramicroelectrode (UME). The detection principle relies on monitoring changes in the redox probe flux at the UME induced by attachment of the target. Both diffusional and migrational transport were considered to promote particle collision at the UME. Detection sensitivity for negatively charged microalgae was enhanced by exploiting migration effects. To control migration strength, neutral and charged redox probes were selected, and the ionic strength was adjusted to tune electrostatic attraction, yielding microalgae capture on the UME with a collision frequency that depended on the solution composition. Conversely, migration was suppressed by increasing the ionic strength, and inverse migration was implemented, and resulting collision responses were compared. Furthermore, COMSOL Multiphysics simulations were used to estimate the size of detected <i>Chlorella</i> cells. The collision frequencies expected from diffusion and migration were compared with the experimental values, and a calibration curve relating collision frequency to <i>Chlorella</i> concentration was established. Consequently, this methodology provides a promising platform for the early monitoring of algal blooms by simultaneously determining microalgal size and concentration.

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Publication Details

Journal
Sensors
Published
2026-01-30
DOI
https://doi.org/10.3390/s26030915
Primary Topic
Electrochemical Analysis and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

In Situ Determination of Chlorella Concentration Using Single Entity Electrochemistry

C. H. Lee, Gayeon Lee, Jun Hui Park
Sensors
Electrochemical Analysis and Applications
article

In Situ Determination of Chlorella Concentration Using Single Entity Electrochemistry

C. H. Lee, Gayeon Lee, Jun Hui Park
article en

Abstract

Harmful algal blooms pose significant risks to water resource management and aquatic ecosystem health, rendering early detection of algal bloom proliferation essential. In this study, we present an electrochemical strategy for the real-time detection of individual <i>Chlorella</i> cells using the single-particle collision method at an ultramicroelectrode (UME). The detection principle relies on monitoring changes in the redox probe flux at the UME induced by attachment of the target. Both diffusional and migrational transport were considered to promote particle collision at the UME. Detection sensitivity for negatively charged microalgae was enhanced by exploiting migration effects. To control migration strength, neutral and charged redox probes were selected, and the ionic strength was adjusted to tune electrostatic attraction, yielding microalgae capture on the UME with a collision frequency that depended on the solution composition. Conversely, migration was suppressed by increasing the ionic strength, and inverse migration was implemented, and resulting collision responses were compared. Furthermore, COMSOL Multiphysics simulations were used to estimate the size of detected <i>Chlorella</i> cells. The collision frequencies expected from diffusion and migration were compared with the experimental values, and a calibration curve relating collision frequency to <i>Chlorella</i> concentration was established. Consequently, this methodology provides a promising platform for the early monitoring of algal blooms by simultaneously determining microalgal size and concentration.

SensorsVol. 26(3)
Chungbuk National University (KR)
Chungbuk National University
Clean water and sanitation
Openalex Percentile: Top 69%
Electrochemical Analysis and Applications
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In Situ Determination of Chlorella Concentration Using Single Entity Electrochemistry — C. H. Lee, Gayeon Lee, et al. · Sensors (2026) | TGRS Research Map | TGRS