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Vertical Graphene-Based Biosensor for Tumor Cell Dielectric Signature Evaluation
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 del...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610743/ https://www.ncbi.nlm.nih.gov/pubmed/36296024 http://dx.doi.org/10.3390/mi13101671 |
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author | Tincu, Bianca Burinaru, Tiberiu Enciu, Ana-Maria Preda, Petruta Chiriac, Eugen Marculescu, Catalin Avram, Marioara Avram, Andrei |
author_facet | Tincu, Bianca Burinaru, Tiberiu Enciu, Ana-Maria Preda, Petruta Chiriac, Eugen Marculescu, Catalin Avram, Marioara Avram, Andrei |
author_sort | Tincu, Bianca |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9610743 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96107432022-10-28 Vertical Graphene-Based Biosensor for Tumor Cell Dielectric Signature Evaluation Tincu, Bianca Burinaru, Tiberiu Enciu, Ana-Maria Preda, Petruta Chiriac, Eugen Marculescu, Catalin Avram, Marioara Avram, Andrei Micromachines (Basel) Article 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. MDPI 2022-10-04 /pmc/articles/PMC9610743/ /pubmed/36296024 http://dx.doi.org/10.3390/mi13101671 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tincu, Bianca Burinaru, Tiberiu Enciu, Ana-Maria Preda, Petruta Chiriac, Eugen Marculescu, Catalin Avram, Marioara Avram, Andrei Vertical Graphene-Based Biosensor for Tumor Cell Dielectric Signature Evaluation |
title | Vertical Graphene-Based Biosensor for Tumor Cell Dielectric Signature Evaluation |
title_full | Vertical Graphene-Based Biosensor for Tumor Cell Dielectric Signature Evaluation |
title_fullStr | Vertical Graphene-Based Biosensor for Tumor Cell Dielectric Signature Evaluation |
title_full_unstemmed | Vertical Graphene-Based Biosensor for Tumor Cell Dielectric Signature Evaluation |
title_short | Vertical Graphene-Based Biosensor for Tumor Cell Dielectric Signature Evaluation |
title_sort | vertical graphene-based biosensor for tumor cell dielectric signature evaluation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610743/ https://www.ncbi.nlm.nih.gov/pubmed/36296024 http://dx.doi.org/10.3390/mi13101671 |
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