A similarity scaling approach for organ-on-chip devices

Feng, James J.; Hedtrich, Sarah

doi:10.1039/d2lc00641c

Cited by 6 publications

(3 citation statements)

References 34 publications

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“…To overcome these challenges, the similarity scaling approach 140 adapts engineering techniques of dimensional analysis and similitude to OoCs. This strategy accounts for different similarity criteria (Box 1 ) simultaneously in a systematic framework.…”

Section: Framework For Disease Model Designmentioning

confidence: 99%

Human disease models in drug development

2023

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Biomedical research is undergoing a paradigm shift towards approaches centred on human disease models owing to the notoriously high failure rates of the current drug development process. Major drivers for this transition are the limitations of animal models, which, despite remaining the gold standard in basic and preclinical research, suffer from interspecies differences and poor prediction of human physiological and pathological conditions. To bridge this translational gap, bioengineered human disease models with high clinical mimicry are being developed. In this Review, we discuss preclinical and clinical studies that benefited from these models, focusing on organoids, bioengineered tissue models and organs-on-chips. Furthermore, we provide a high-level design framework to facilitate clinical translation and accelerate drug development using bioengineered human disease models.

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Section: Framework For Disease Model Designmentioning

confidence: 99%

Human disease models in drug development

2023

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“…Using the scaled-down approach, especially microfluidic platforms and scaled-down simulators [ 5 ] integrated with various sensing technologies, can be very beneficial for different bioprocesses to solve scaled-up problems [ 6 , 7 ]. The integration of sensors within microfluidic platforms has led to the development of lab-on-a-chip [ 8 , 9 ] and organ-on-a-chip platforms [ 10 , 11 ] which can simulate complex biological systems in a controlled environment. These platforms have the potential to revolutionize the fields of medicine and biotechnology by allowing for the rapid and accurate testing of drugs and medical treatments, as well as providing insights into the functioning of biological systems [ 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

“…The integration of sensors within microfluidic platforms has led to the development of lab-on-a-chip [8,9] and organ-on-a-chip platforms [10,11] which can simulate complex biological systems in a controlled environment. These platforms have the potential to revolutionize the fields of medicine and biotechnology by allowing for the rapid and accurate testing of drugs and medical treatments, as well as providing insights into the functioning of biological systems [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

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

Podunavac

Knežić

Djisalov

et al. 2023

Sensors

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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.

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