| Literature DB >> 34677357 |
Ina Turcan1, Iuliana Caras2, Thomas Gabriel Schreiner1,3, Catalin Tucureanu2, Aurora Salageanu2, Valentin Vasile2, Marioara Avram4,5, Bianca Tincu4,6, Marius Andrei Olariu1.
Abstract
Here, we reported a study on the detection and electrical characterization of both cancer cell line and primary tumor cells. Dielectrophoresis (DEP) and electrical impedance spectroscopy (EIS) were jointly employed to enable the rapid and label-free differentiation of various cancer cells from normal ones. The primary tumor cells that were collected from two colorectal cancer patients, cancer cell lines (SW-403, Jurkat, and THP-1), and healthy peripheral blood mononuclear cells (PBMCs) were trapped first at the level of interdigitated microelectrodes with the help of dielectrophoresis. Correlation of the cells dielectric characteristics that was obtained via electrical impedance spectroscopy (EIS) allowed evident differentiation of the various types of cell. The differentiations were assigned to a "dielectric phenotype" based on their crossover frequencies. Finally, Randles equivalent circuit model was employed for highlighting the differences with regard to a series group of charge transport resistance and constant phase element for cancerous and normal cells.Entities:
Keywords: cancer cells; crossover frequency; dielectrophoresis; electrical impedance spectroscopy
Mesh:
Year: 2021 PMID: 34677357 PMCID: PMC8533712 DOI: 10.3390/bios11100401
Source DB: PubMed Journal: Biosensors (Basel) ISSN: 2079-6374
Figure 1Experimental set-up.
Figure 2Microscopy images of a cell samples (PBMC, SW-403 and T1) distributions after DEP manipulation.
Figure 3Electrical impedance spectroscopy responses (amplitude Z (a,d), phase angle (b,e), and Nyquist plots (c,f)) of different cell types suspended in buffered sucrose solution, before and after cells trapping.
Figure 4The DEP crossover frequency for the different types of cancer cells and healthy peripheral blood mononuclear cells.
Figure 5The electrical fitting parameters ( (a), (b), and (c)) in the equivalent circuit model for studied cells. Error bars indicate the values of the relative estimated errors of the calculated parameters.