Vertical Graphene-Based Biosensor for Tumor Cell Dielectric Signature Evaluation.
Bianca TincuTiberiu BurinaruAna Maria EnciuPetruta PredaEugen ChiriacCatalin MarculescuMarioara AvramMarius Andrei AvramPublished in: Micromachines (2022)
The selective and rapid detection of tumor cells is of critical consequence for the theragnostic field of tumorigenesis; conventional methods, such as histopathological diagnostic methods, often require a long analysis time, excessive analytical costs, complex operations, qualified personnel and deliver many false-positive results. We are considering a new approach of an electrochemical biosensor based on graphene, which is evidenced to be a revolutionary nanomaterial enabling the specific and selective capture of tumor cells. In this paper, we report a biosensor fabricated by growing vertically aligned graphene nanosheets on the conductive surface of interdigitated electrodes which is functionalized with anti-EpCAM antibodies. The dielectric signature of the three types of tumor cells is determined by correlating the values from the Nyquist and Bode diagram: charge transfer resistance, electrical double layer capacity, Debye length, characteristic relaxation times of mobile charges, diffusion/adsorption coefficients, and variation in the electrical permittivity complex and of the phase shift with frequency. These characteristics are strongly dependent on the type of membrane molecules and the electromagnetic resonance frequency. We were able to use the fabricated sensor to differentiate between three types of tumor cell lines, HT-29, SW403 and MCF-7, by dielectric signature. The proposed evaluation method showed the permittivity at 1 MHz to be 3.63 nF for SW403 cells, 4.97 nF for HT 29 cells and 6.9 nF for MCF-7 cells.
Keyphrases
- induced apoptosis
- signaling pathway
- gold nanoparticles
- cell cycle arrest
- quantum dots
- oxidative stress
- lps induced
- carbon nanotubes
- label free
- sensitive detection
- endoplasmic reticulum stress
- reduced graphene oxide
- cell death
- cell therapy
- mesenchymal stem cells
- high frequency
- physical activity
- cell adhesion
- clinical evaluation
- data analysis
- tissue engineering