ArticleAnalytical and bioanalytical chemistry2019
A mathematical model of dielectrophoretic data to connect measurements with cell properties.
Article in Analytical and bioanalytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Quantifying and Minimizing the Variance of Gradient Insulator-Based Dielectrophoresis.Micromachines · 2026Article
- The Clausius-Mossotti Factor in Dielectrophoresis: A Critical Appraisal of Its Proposed Role as an 'Electrophysiology Rosetta Stone'.Micromachines · 2026Article
- Article
- A numerical study on microfluidic devices to maintain the concentration and purity of dielectrophoresis-induced separated fractions of analyte.Analytical and bioanalytical chemistry · 2023Article
- Ion-Doped Calcium Phosphate-Based Coatings with Antibacterial Properties.Journal of functional biomaterials · 2023Review
- The latest advances on nonlinear insulator-based electrokinetic microsystems under direct current and low-frequency alternating current fields: a review.Analytical and bioanalytical chemistry · 2022Review
- Fine-Tuning Electrokinetic Injections Considering Nonlinear Electrokinetic Effects in Insulator-Based Devices.Micromachines · 2021Article
- Differential Biophysical Behaviors of Closely Related Strains of Salmonella.Frontiers in microbiology · 2020Article
- Effects of surface treatments on trapping with DC insulator-based dielectrophoresis.The Analyst · 2019Article
- Isolation and identification of Listeria monocytogenes utilizing DC insulator-based dielectrophoresis.Analytica chimica acta · 2019Article
- Identification of neural stem and progenitor cell subpopulations using DC insulator-based dielectrophoresis.The Analyst · 2019Article
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2 authors.
Funding
Abstract
Dielectrophoresis (DEP) brings about the high-resolution separations of cells and other bioparticles arising from very subtle differences in their properties. However, an unanticipated limitation has arisen: difficulty in assignment of specific biological features which vary between two cell populations. This hampers the ability to interpret the significance of the variations. To realize the opportunities made possible by dielectrophoresis, the data and the diversity of structures found in cells and bioparticles must be linked. While the crossover frequency in DEP has been studied in-depth and exploited in applications using AC fields, less attention has been given when a DC field is present. Here, a new mathematical model of dielectrophoretic data is introduced which connects the physical properties of cells to specific elements of the data from potential- or time-varied DEP experiments. The slope of the data in either analysis is related to the electrokinetic mobility, while the potential at which capture initiates in potential-based analysis is related to both the electrokinetic and dielectrophoretic mobilities. These mobilities can be assigned to cellular properties for which values appear in the literature. Representative examples of high and low values of properties such as conductivity, zeta potential, and surface charge density for bacteria including Streptococcus mutans, Rhodococcus erythropolis, Pasteurella multocida, Escherichia coli, and Staphylococcus aureus are considered. While the many properties of a cell collapse into one or two features of data, for a well-vetted system the model can indicate the extent of dissimilarity. The influence of individual properties on the features of dielectrophoretic data is summarized, allowing for further interpretation of data. Graphical abstract.
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