Mammalian Cell-Growth Monitoring Based on an Impedimetric Sensor and Image Processing within a Microfluidic Platform.

PMMA biomass impedimetric sensor inkjet printing interdigitated electrodes microbioreactor microfluidics scaled-down

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
05 Apr 2023
Historique:
received: 06 03 2023
revised: 26 03 2023
accepted: 31 03 2023
medline: 14 4 2023
entrez: 13 4 2023
pubmed: 14 4 2023
Statut: epublish

Résumé

In recent years, advancements in microfluidic and sensor technologies have led to the development of new methods for monitoring cell growth both in macro- and micro-systems. In this paper, a microfluidic (MF) platform with a microbioreactor and integrated impedimetric sensor is proposed for cell growth monitoring during the cell cultivation process in a scaled-down simulator. The impedimetric sensor with an interdigitated electrode (IDE) design was realized with inkjet printing and integrated into the custom-made MF platform, i.e., the scaled-down simulator. The proposed method, which was integrated into a simple and rapid fabrication MF system, presents an excellent candidate for the scaled-down analyses of cell growths that can be of use in, e.g., optimization of the cultivated meat bioprocess. When applied to MRC-5 cells as a model of adherent mammalian cells, the proposed sensor was able to precisely detect all phases of cell growth (the lag, exponential, stationary, and dying phases) during a 96-h cultivation period with limited available nutrients. By combining the impedimetric approach with image processing, the platform enables the real-time monitoring of biomasses and advanced control of cell growth progress in microbioreactors and scaled-down simulator systems.

Identifiants

pubmed: 37050808
pii: s23073748
doi: 10.3390/s23073748
pmc: PMC10099282
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Ivana Podunavac (I)

BioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.

Teodora Knežić (T)

BioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.

Mila Djisalov (M)

BioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.

Nejra Omerovic (N)

BioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.

Marko Radovic (M)

BioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.

Ljiljana Janjušević (L)

BioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.

Dimitrije Stefanovic (D)

BioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.

Marko Panic (M)

BioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.

Ivana Gadjanski (I)

BioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.

Vasa Radonic (V)

BioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.

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Classifications MeSH