Evidence map›Paper›PMID 36296024›Full record

ArticleMicromachines2022

Vertical Graphene-Based Biosensor for Tumor Cell Dielectric Signature Evaluation.

Bianca Tincu, Tiberiu Burinaru, Ana-Maria Enciu, Petruta Preda, Eugen Chiriac, Catalin Marculescu, Marioara Avram, Andrei Avram

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Bianca TincuNational Institute for Research and Development in Microtechnologies-IMT Bucharest, 126A Erou Iancu Nicolae, 077190 Bucharest, Romania.ORCID 0000-0003-3784-0807
Tiberiu BurinaruNational Institute for Research and Development in Microtechnologies-IMT Bucharest, 126A Erou Iancu Nicolae, 077190 Bucharest, Romania.
Ana-Maria EnciuBiochemistry-Proteomics Department, Victor Babes National Institute of Pathology, 99-101 Splaiul Independenţei, 050096 Bucharest, Romania.ORCID 0000-0002-8122-1096
Petruta PredaNational Institute for Research and Development in Microtechnologies-IMT Bucharest, 126A Erou Iancu Nicolae, 077190 Bucharest, Romania.
Eugen ChiriacNational Institute for Research and Development in Microtechnologies-IMT Bucharest, 126A Erou Iancu Nicolae, 077190 Bucharest, Romania.ORCID 0000-0001-9048-1853
Catalin MarculescuNational Institute for Research and Development in Microtechnologies-IMT Bucharest, 126A Erou Iancu Nicolae, 077190 Bucharest, Romania.ORCID 0000-0001-7177-1521
Marioara AvramNational Institute for Research and Development in Microtechnologies-IMT Bucharest, 126A Erou Iancu Nicolae, 077190 Bucharest, Romania.ORCID 0000-0002-4126-7401
Andrei AvramNational Institute for Research and Development in Microtechnologies-IMT Bucharest, 126A Erou Iancu Nicolae, 077190 Bucharest, Romania.ORCID 0000-0003-0315-6599
National Institute for Research and Development in Microtechnologies · ROCarol Davila University of Medicine and Pharmacy · ROUniversity of Agronomic Sciences and Veterinary Medicine of Bucharest · RO

Funding

Unitatea Executiva Pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii PN-III-P2-2.1-PTE-2021-0444
6 · The paper itself

Abstract

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.

Indexed as

electrochemical impedance spectroscopyelectrochemical sensortumor cellsvertical graphene

Identifiers

PMID36296024
PMCPMC9610743
OpenAlexW4303856888

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.