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Lab-on-a-chip approach for biomass impedance-based sensing in microbioreactors

Authors: Ivana, Podunavac; Teodora, Knežić; Mila, Djisalov; Ljiljana, Janjušević; Vasa, Radonić; Ivana, Gadjanski;

Lab-on-a-chip approach for biomass impedance-based sensing in microbioreactors

Abstract

AIM: Sensors incorporated in lab-on-a-chip (LOC) platforms permit in situ measurements of analytes over time [1]. LOC approach with integrated impedimetric sensor has been used in this study aiming to develop a sensor for biomass estimation during cell cultivation in the novel, cost-effective microbioreactor (MBR). Interaction between cells and electromagnetic radiation in different frequency ranges enables detection and characterization of various cellular parameters. In the radio-frequency (RF) range, viable cells are polarizable and act as dipoles, hence the number of cells directly influences the dielectric permittivity of measured impedance [2]. In that sense, an impedimetric approach allows sensing the cell concentration and therefore biomass. Additionally, the LOC approach enables good control and collection of data relevant for the cultivation process [3]. METHODS: Cost-effective technologies of MBR and sensor fabrication are presented, as well as their integration and testing results obtained with MRC-5 cells used as model adherent cells. RESULTS: Developed impedimetric sensor in MBR has been able to detect number of cells i.e. biomass, as well as all the phases in batch cell cultivation over 96 h - lag, exponential, stationary, and death phase. CONCLUSION: By combining biocompatible and transparent materials, the LOC system provides a basis that allows additional integration of electrodes, sensors, or optical components, and has a potential for the rapid production of low-cost and reliable MBRs that can be used in cultured meat research. Impedance-based sensing is a good approach for biomass monitoring in MBRs.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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