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Vertical Graphene-Based Biosensor for Tumor Cell Dielectric Signature Evaluation
Bianca Tincu1,2, Tiberiu Burinaru1,3, Ana-Maria Enciu4,5
1National Institute for Research and Development in Microtechnologies-IMT Bucharest, 126A Erou Iancu Nicolae, 077190 Bucharest, Romania.
Micromachines
|October 27, 2022
Summary
This study introduces a graphene-based electrochemical biosensor for rapid tumor cell detection. The novel sensor differentiates between three cancer cell lines using their unique dielectric signatures, offering a promising theranostic tool.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Cancer Diagnostics
Background:
- Conventional tumor cell detection methods are time-consuming, costly, and prone to errors.
- Graphene nanomaterials offer revolutionary potential for specific and selective tumor cell capture.
- There is a need for advanced biosensors in the theranostic field for efficient cancer diagnosis.
Purpose of the Study:
- To develop and evaluate a novel electrochemical biosensor for the selective and rapid detection of tumor cells.
- To utilize graphene-based technology for enhanced tumor cell capture and differentiation.
- To establish a dielectric signature-based method for distinguishing between different cancer cell lines.
Main Methods:
- Fabrication of a biosensor using vertically aligned graphene nanosheets on interdigitated electrodes.
- Functionalization of the biosensor surface with anti-EpCAM antibodies for specific tumor cell targeting.
- Analysis of dielectric signatures, including Nyquist and Bode plots, to extract key electrical properties.
- Correlation of dielectric properties (e.g., permittivity, charge transfer resistance) with tumor cell types.
Main Results:
- The biosensor successfully differentiated between three distinct tumor cell lines (HT-29, SW403, MCF-7) based on their dielectric signatures.
- Key electrical parameters like charge transfer resistance and electrical double layer capacity varied significantly between cell lines.
- Permittivity measurements at 1 MHz provided distinct values for each cell line: 3.63 nF (SW403), 4.97 nF (HT-29), and 6.9 nF (MCF-7).
Conclusions:
- The developed graphene-based electrochemical biosensor enables rapid and selective tumor cell detection.
- Dielectric signature analysis is an effective method for differentiating between various cancer cell lines.
- This approach holds significant promise for advancing theranostic applications in cancer diagnosis.

