Broadband Microwave Dielectric Property Comparison of Human Fetal Osteoblastic (hFOB) and Osteosarcoma (SaOS-2) Cell Lines

Macit, Zeynep; Aydınalp, Cemanur; Yilmaz, Tuba; Sert, Ayşe Buse Özdabak; Kök, Fatma Neşe

doi:10.23919/eucap48036.2020.9135448

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…As previously stated, in this work, we focused on adherent cells, to consider the cell-to-cell and cell-to-substrate interactions, while others have focused on the detection of cells in suspension in their culture medium [50] even a single flowing cell [32], or low-concentration cells outside a culture medium [51]. However, in general, the results pointed out electromagnetic signature differences between the tested cell lines, highlighting, in particular, that cells' dielectric properties are highly related to cells' concentrations.…”

Section: Discussionmentioning

confidence: 99%

A Novel Microwave Resonant Sensor for Measuring Cancer Cell Line Aggressiveness

D’Alvia

Carraro

Peruzzi

et al. 2022

Sensors

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The measurement of biological tissues’ dielectric properties plays a crucial role in determining the state of health, and recent studies have reported microwave biosensing to be an innovative method with great potential in this field. Research has been conducted from the tissue level to the cellular level but, to date, cellular adhesion has never been considered. In addition, conventional systems for diagnosing tumor aggressiveness, such as a biopsy, are rather expensive and invasive. Here, we propose a novel microwave approach for biosensing adherent cancer cells with different malignancy degrees. A circular patch resonator was designed adjusting its structure to a standard Petri dish and a network analyzer was employed. Then, the resonator was realized and used to test two groups of different cancer cell lines, based on various tumor types and aggressiveness: low- and high-aggressive osteosarcoma cell lines (SaOS-2 and 143B, respectively), and low- and high-aggressive breast cancer cell lines (MCF-7 and MDA-MB-231, respectively). The experimental results showed that the sensitivity of the sensor was high, in particular when measuring the resonant frequency. Finally, the sensor showed a good ability to distinguish low-metastatic and high-metastatic cells, paving the way to the development of more complex measurement systems for noninvasive tissue diagnosis.

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Section: Discussionmentioning

confidence: 99%

A Novel Microwave Resonant Sensor for Measuring Cancer Cell Line Aggressiveness

D’Alvia

Carraro

Peruzzi

et al. 2022

Sensors

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“…In any case, considering the different cell numbers employed in the research studies (from 4 × 10 5 to 12 × 10 5 ), we conducted an extrapolation of the dielectric constant at the natural frequency of our sensor for the MCF-7, MDA-MB-231, and SaOS-2 cell lines based on data from the literature [ 24 , 25 , 27 ]. The results indicated that the SaOS-2 cell line exhibited a lower dielectric constant ( ε = 74.5) than the other two lines, leading to a higher resonance frequency (1942 MHz).…”

Section: Resultsmentioning

confidence: 99%

“…Hussein et al [26] evaluated the dielectric properties (dielectric loss, dielectric constant, and conductivity) of a healthy non-tumorigenic cell line (MCF-10A), four breast cancer cell lines (Hs578T, MDA-MB-231, MCF-7, and T47D), and one colon cancer cell line (HT- 29) using an open-ended coaxial probe in the 0.2-13.6 GHz range. Macit et al and Odelstad et al [27,28] used an open-ended coaxial probe to measure the dielectric property level of human fetal osteoblastic (hFOB) and osteosarcoma (SaOS-2) cell lines, respectively, in the 0.5-10.0 GHz and 2-50 GHz ranges. Oueslati et al [29] designed a metamaterial split-ring resonator to analyze colorectal (SW620) and breast cancer (Hs578T and MCF-7) cell lines in the 1.0-8.0 GHz range, effectively distinguishing between cells based on different resonance frequencies.…”

Section: Introductionmentioning

confidence: 99%

Determination of a Measurement Procedure for the Study of Cells’ Dielectric Properties through Descriptive Statistic

D’Alvia,

Peruzzi,

Apa

et al. 2023

Bioengineering

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This paper presents a measurement procedure for analyzing the dielectric properties of cells using descriptive statistics. The study focuses on four cancer cell lines (MDA-MB-231 and MCF-7 breast cancer, SaOS-2, and 143B osteosarcoma) and DMEM culture medium, utilizing the Lorentzian fit model of the return-loss function. The measurements are performed using a circular patch resonator with a 40 mm diameter, powered by a miniVNA operating in the frequency range of 1 MHz to 3 GHz. Eight specimens are prepared for each group to ensure reliability, and the return loss is recorded ten times for each specimen. Various statistical parameters are calculated and evaluated, including the average value, standard deviation, coefficient of variation, and relative error between the average and the first values. The results demonstrate that one single acquisition highly represents the entire set of ten data points, especially for the resonant frequency, with an accuracy error lower than 0.05%. These findings have significant implications for the methodological approach to detecting cells’ dielectric properties, as they substantially reduce time and preserve the specimens without compromising the accuracy of the experimental results.

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Novel Sensing Technique for Stem Cells Differentiation Using Dielectric Spectroscopy of Their Proteins

Cho

Gwak

2023

Sensors

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Dielectric spectroscopy (DS) is the primary technique to observe the dielectric properties of biomaterials. DS extracts complex permittivity spectra from measured frequency responses such as the scattering parameters or impedances of materials over the frequency band of interest. In this study, an open-ended coaxial probe and vector network analyzer were used to characterize the complex permittivity spectra of protein suspensions of human mesenchymal stem cells (hMSCs) and human osteogenic sarcoma (Saos-2) cells in distilled water at frequencies ranging from 10 MHz to 43.5 GHz. The complex permittivity spectra of the protein suspensions of hMSCs and Saos-2 cells revealed two major dielectric dispersions, β and γ, offering three distinctive features for detecting the differentiation of stem cells: the distinctive values in the real and imaginary parts of the complex permittivity spectra as well as the relaxation frequency in the β-dispersion. The protein suspensions were analyzed using a single-shell model, and a dielectrophoresis (DEP) study was performed to determine the relationship between DS and DEP. In immunohistochemistry, antigen–antibody reactions and staining are required to identify the cell type; in contrast, DS eliminates the use of biological processes, while also providing numerical values of the dielectric permittivity of the material-under-test to detect differences. This study suggests that the application of DS can be expanded to detect stem cell differentiation.

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Broadband Microwave Dielectric Property Comparison of Human Fetal Osteoblastic (hFOB) and Osteosarcoma (SaOS-2) Cell Lines

Cited by 3 publications

References 8 publications

A Novel Microwave Resonant Sensor for Measuring Cancer Cell Line Aggressiveness

A Novel Microwave Resonant Sensor for Measuring Cancer Cell Line Aggressiveness

Determination of a Measurement Procedure for the Study of Cells’ Dielectric Properties through Descriptive Statistic

Novel Sensing Technique for Stem Cells Differentiation Using Dielectric Spectroscopy of Their Proteins

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