Evidence map›Paper›PMID 37050808›Full record

ArticleSensors (Basel, Switzerland)2023

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

Ivana Podunavac, Teodora Knežić, Mila Djisalov, Nejra Omerovic, Marko Radovic, Ljiljana Janjušević, Dimitrije Stefanovic, Marko Panic, Ivana Gadjanski, Vasa Radonic

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 1 institution in 1 country.

Ivana PodunavacBioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.ORCID 0000-0002-6622-5662
Teodora KnežićBioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.ORCID 0000-0003-0275-4706
Mila DjisalovBioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.
Nejra OmerovicBioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.
Marko RadovicBioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.
Ljiljana JanjuševićBioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.ORCID 0000-0001-8785-2895
Dimitrije StefanovicBioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.
Marko PanicBioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.ORCID 0000-0002-7993-6826
Ivana GadjanskiBioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.ORCID 0000-0003-0713-7897
Vasa RadonicBioSense Institute, University of Novi Sad, Dr. Zorana Đinđića 1, Novi Sad 21000, Serbia.ORCID 0000-0001-5286-6680
University of Novi Sad · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

MammalsMicrofluidicsAnimalsElectrodesbiomassimpedimetric sensorinkjet printinginterdigitated electrodesmicrobioreactormicrofluidicsPMMAscaled-down

Identifiers

PMID37050808
PMCPMC10099282
OpenAlexW4362620161

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.