Evidence map›Paper›PMID 42292695›Full record

ArticleBiochemistry and biophysics reports2026

Automated method for determining the zeta potential of red blood cells via motion tracking in microelectrophoresis.

Oleksii Borikov, Volodymyr Berest, Daniil Liadov

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Oleksii BorikovV. N. Karazin Kharkiv National University, 4 Svobody Sq., Kharkiv, 61022, Ukraine.
Volodymyr BerestV. N. Karazin Kharkiv National University, 4 Svobody Sq., Kharkiv, 61022, Ukraine.
Daniil LiadovV. N. Karazin Kharkiv National University, 4 Svobody Sq., Kharkiv, 61022, Ukraine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The surface charge of red blood cells (RBCs), commonly expressed as zeta potential, is a key biophysical parameter influencing RBC aggregation, deformability, and microcirculatory behavior. Despite its physiological and clinical relevance, routine assessment of RBC zeta potential is limited by methodological complexity and poor reproducibility of conventional microelectrophoretic techniques. In this study, we present an automated method for determining the zeta potential of individual RBCs based on computer-assisted tracking of cell motion during microelectrophoresis. Video recordings of RBC movement in an electric field were analyzed using automated spot detection and trajectory reconstruction, allowing electrophoretic mobility and zeta potential to be calculated at the single-cell level. Application of the method to RBCs from healthy donors revealed reproducible zeta potential distributions, while additionally revealing distinct subpopulations of cells with markedly reduced surface charge. The effect of electric field direction on zeta potential was systematically evaluated, demonstrating the contribution of diffuse layer relaxation effects and supporting the use of bidirectional measurements to improve accuracy. Furthermore, incubation of RBCs with gramicidin S, trypsin, and neuraminidase induced pronounced and statistically significant reductions in zeta potential, confirming the sensitivity of the method to alterations in membrane composition and sialic acid content. Overall, the proposed automated microelectrophoretic approach enables objective, high-resolution analysis of RBC electrokinetic properties and overcomes key limitations of manual techniques. This method holds promise for studying red blood cell aging, membrane damage, and drug-cell interactions, and may contribute to the development of novel biophysical biomarkers relevant to hematological and systemic disorders.

Indexed as

Gramicidin SMicroelectrophoresisNeuraminidaseRed blood cellsTrypsinZeta potential

Identifiers

PMID42292695
PMCPMC13263750

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.