Oreoluwa V. Griffiths’s research while affiliated with University of Surrey and other places

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Publications (4)


(a) Image of a chip following analysis showing cell repulsion (yellow circle) and attraction (blue circle). (b) Typical spectrum showing three key zones; the orange (high frequency) zone is used to determine cytoplasm conductivity.
(a) and (b); Examples of the variation in mean σcyto with σmed with best-fit lines. The slope of the best-fit lines was used as parameter A. (c) A comparison of mean values of Vm from literature sources and the value of A = δσi/δσo (for A > 1). Error bars show the range of published data. Key for all graphs: blue diamond: red blood cells (RBCs). Blue square: RBCs treated with neuraminidase. Blue circle: RBCs treated with DMSO. Grey diamond: chondrocytes. Amber square: THP-1. Navy cross: HeLa. Open red circle: HeLa treated with TEA (horizontal axis), vs the mean reported HeLa Vm less the mean reported effect of TEA (vertical axis). Grey triangle: Jurkat cells. Brown diamond: mesenchymal stem cells. Brown triangle: platelets. Error bars show the reported range of depolarisation due to TEA.
Comparison of Vm values from literature compared to the method presented here (gold line signifies identity). Horizontal error bars show variability of slope, vertical error bars show the range of published data (for HeLa with TEA, error bars show the reported range of depolarisation due to TEA).
Label-free, non-contact determination of resting membrane potential using dielectrophoresis
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August 2024

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56 Reads

Michael Pycraft Hughes

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Fatima H. Labeed

Measurement of cellular resting membrane potential (RMP) is important in understanding ion channels and their role in regulation of cell function across a wide range of cell types. However, methods available for the measurement of RMP (including patch clamp, microelectrodes, and potential-sensitive fluorophores) are expensive, slow, open to operator bias, and often result in cell destruction. We present non-contact, label-free membrane potential estimation which uses dielectrophoresis to determine the cytoplasm conductivity slope as a function of medium conductivity. By comparing this to patch clamp data available in the literature, we have demonstratet the accuracy of this approach using seven different cell types, including primary suspension cells (red blood cells, platelets), cultured suspension cells (THP-1), primary adherent cells (chondrocytes, human umbilical mesenchymal stem cells), and adherent (HeLa) and suspension (Jurkat) cancer cell lines. Analysis of the effect of ion channel inhibitors suggests the effects of pharmaceutical agents (TEA on HeLa; DMSO and neuraminidase on red blood cells) can also be measured. Comparison with published values of membrane potential suggest that the differences between our estimates and values recorded by patch clamp are accurate to within published margins of error. The method is low-cost, non-destructive, operator-independent and label-free, and has previously been shown to allow cells to be recovered after measurement.

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Optimization of upstream particle concentration from flow using AC electro-osmosis and dielectrophoresis

There are many applications where upstream sample processing is required to concentrate dispersed particles in flow; this may be to increase the concentration (e.g., to enhance biosensor accuracy) or to decrease it (e.g., by removing contaminants from flow). The AC electrokinetic phenomenon, dielectrophoresis (DEP), has been used widely for particle trapping for flow, but the magnitude of the force drops reduces rapidly with distance from electrode edges, so that nm-scale particles such as viruses and bacteria are only trapped when near the electrode surface. This limits the usable flow rate in the device and can render the final device unusable for practical applications. Conversely, another electrokinetic phenomenon, AC electro-osmosis (ACEO), can be used to move particles to electrode surfaces but is unable to trap them from flow, limiting their ability for sample cleanup or trap-and-purge concentration. In this paper, we describe the optimization of ACEO electrodes aligned parallel to pressure-driven flow as a precursor/preconditioner to capture particles from a flow stream and concentrate them adjacent to the channel wall to enhance DEP capture. This is shown to be effective at flow rates of up to 0.84 ml min⁻¹. Furthermore, the analysis of the 3D flow structure in the ACEO device by both simulation and confocal microscopy suggests that while the system offers significant benefits, the flow structure in the volume near the channel lid is such that while substantial trapping can occur, particles in this part of the chamber cannot be trapped, independent of the chamber height.


On the low-frequency dispersion observed in dielectrophoresis spectra

January 2024

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46 Reads

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1 Citation

Electrophoresis

The foundation of dielectrophoresis (DEP) as a tool for biological investigation is the use of the Clausius–Mossotti (C–M) factor to model the observed behaviour of cells experiencing DEP across a frequency range. Nevertheless, it is also the case that at lower frequencies, the DEP spectrum deviates from predictions; there exists a rise in DEP polarisability, which varies in frequency and magnitude with different cell types and medium conductivities. In order to evaluate the origin of this effect, we have studied DEP spectra from five cell types (erythrocytes, platelets, neurons, HeLa cancer cells and monocytes) in several conditions including medium conductivity and cell treatment. Our results suggest the effect manifests as a low‐pass dispersion whose cut‐off frequency varies with membrane conductance and capacitance as determined using the DEP spectrum; the effect also varies as a logarithm of medium conductivity and Debye length. These together suggest that the values of membrane capacitance and conductance depend not only on the impedance of the membrane itself, but also of the surrounding double layer. The amplitude of the effect in different cell types compared to the C–M factor was found to correlate with the depolarisation factors for the cells’ shapes, suggesting that this ratio may be useful as an indicator of cell shape for DEP modelling.


Citations (1)


... DEP allows the determination of the passive electrophysiological properties (conductance and capacitance) of the membrane and cytoplasm of cells [2]; it has also been shown recently [3] to be able to determine membrane potential in some cell types. These electrical properties have been shown to play a role in the normal function of both red blood cells [4,5] and platelets [6]. Furthermore, changes in these properties can also allow insights into parasitic diseases; for example a recent study of red blood cells before and after malarial infection using DEP suggested that cell infectivity may be governed by circadian rhythms in the cell's membrane potential, which could inform both the susceptibility to malarial infection at night [7], and a new mechanism by which the antimalarial drug quinine could function. ...

Reference:

Dielectric properties of human macrophages are altered by Mycobacterium tuberculosis infection
The Platelet Electrome: Evidence for a Role in Regulation of Function and Surface Interaction
  • Citing Article
  • June 2022

Bioelectricity