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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...

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Autores principales: Tincu, Bianca, Burinaru, Tiberiu, Enciu, Ana-Maria, Preda, Petruta, Chiriac, Eugen, Marculescu, Catalin, Avram, Marioara, Avram, Andrei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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