Reproducibility analysis of bioimpedance-based self-developed live cell assays.

Humans Reproducibility of Results Electric Impedance Graphite / chemistry Cell Line, Tumor Cell Survival Dielectric Spectroscopy / methods Cell Proliferation

Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
16 Jul 2024
Historique:
received: 18 07 2023
accepted: 08 07 2024
medline: 17 7 2024
pubmed: 17 7 2024
entrez: 16 7 2024
Statut: epublish

Résumé

Bioimpedance spectrum (BIS) measurements have a great future in in vitro experiments, meeting all the requirements for non-destructive and label-free methods. Nevertheless, a real basic research can provide the necessary milestones to achieve the success of the method. In this paper a self-developed technology-based approach for in vitro assays is proposed. Authors invented a special graphene-based measuring plate in order to assess the high sensitivity and reproducibility of introduced technique. The design of the self-produced BIS plates maximizes the detection capacity of qualitative changes in cell culture and it is robust against physical effects and artifacts. The plates do not influence the viability and proliferation, however the results are robust, stable and reproducible regardless of when and where the experiments are carried out. In this study, physiological saline concentrations, two cancer and stem cell lines were utilized. All the results were statistically tested and confirmed. The findings of the assays show, that the introduced BIS technology is appropriate to be used in vitro experiments with high efficacy. The experimental results demonstrate high correlation values across the replicates, and the model parameters suggested that the characteristic differences among the various cell lines can be detected using appropriate hypothesis tests.

Identifiants

DOI: 10.1038/s41598-024-67061-2 PMID: 39013939
pubmed: 39013939
doi: 10.1038/s41598-024-67061-2
pii: 10.1038/s41598-024-67061-2
doi:

Substances chimiques

Graphite 7782-42-5

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

16380

Informations de copyright

© 2024. The Author(s).

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Auteurs

Zoltan Vizvari (Z)

Department of Environmental Engineering, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany str. 2, Pecs, 7624, Hungary. vizvari.zoltan@mik.pte.hu.
Multidisciplinary Medical and Engineering Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag str. 20, Pecs, 7624, Hungary. vizvari.zoltan@mik.pte.hu.
Symbolic Methods in Material Analysis and Tomography Research Group, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany str. 6, Pecs, 7624, Hungary. vizvari.zoltan@mik.pte.hu.

Nina Gyorfi (N)

Multidisciplinary Medical and Engineering Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag str. 20, Pecs, 7624, Hungary.
Institute of Physiology, Medical School, University of Pecs, Szigeti str. 12, Pecs, 7624, Hungary.

Gergo Maczko (G)

Multidisciplinary Medical and Engineering Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag str. 20, Pecs, 7624, Hungary.

Reka Varga (R)

Multidisciplinary Medical and Engineering Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag str. 20, Pecs, 7624, Hungary.
Institute of Physiology, Medical School, University of Pecs, Szigeti str. 12, Pecs, 7624, Hungary.

Rita Jakabfi-Csepregi (R)

Multidisciplinary Medical and Engineering Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag str. 20, Pecs, 7624, Hungary.
Department of Laboratory Medicine, Medical School, University of Pecs, Szigeti str. 12, Pecs, 7624, Hungary.

Zoltan Sari (Z)

Multidisciplinary Medical and Engineering Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag str. 20, Pecs, 7624, Hungary.
Symbolic Methods in Material Analysis and Tomography Research Group, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany str. 6, Pecs, 7624, Hungary.
Department of Technical Informatics, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany str. 6, Pecs, 7624, Hungary.

Andras Furedi (A)

Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Magyar tudosok korutja 2, Budapest, 1117, Hungary.
Institute of Technical Physics and Materials Science, HUN-REN Centre for Energy Research, Konkoly-Thege Miklos ut 29-33, Budapest, 1121, Hungary.

Eszter Bajtai (E)

Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Magyar tudosok korutja 2, Budapest, 1117, Hungary.
Semmelweis University Doctoral School, Ulloi str. 26, Budapest, 1085, Hungary.

Flora Vajda (F)

Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Magyar tudosok korutja 2, Budapest, 1117, Hungary.
Semmelweis University Doctoral School, Ulloi str. 26, Budapest, 1085, Hungary.

Vladimir Tadic (V)

Symbolic Methods in Material Analysis and Tomography Research Group, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany str. 6, Pecs, 7624, Hungary.
John von Neumann Faculty of Informatics, Óbuda University, Becsi str. 96/B, Budapest, 1034, Hungary.

Peter Odry (P)

Symbolic Methods in Material Analysis and Tomography Research Group, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany str. 6, Pecs, 7624, Hungary.
John von Neumann Faculty of Informatics, Óbuda University, Becsi str. 96/B, Budapest, 1034, Hungary.

Zoltan Karadi (Z)

Institute of Physiology, Medical School, University of Pecs, Szigeti str. 12, Pecs, 7624, Hungary.

Attila Toth (A)

Multidisciplinary Medical and Engineering Cellular Bioimpedance Research Group, Szentagothai Research Centre, University of Pecs, Ifjusag str. 20, Pecs, 7624, Hungary.
Symbolic Methods in Material Analysis and Tomography Research Group, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany str. 6, Pecs, 7624, Hungary.
Institute of Physiology, Medical School, University of Pecs, Szigeti str. 12, Pecs, 7624, Hungary.

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