Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/105237
Title: Microfluidics Integration into Low-Noise Multi-Electrode Arrays
Authors: Ribeiro, Mafalda
Ali, Pamela
Metcalfe, Benjamin
Moschou, Despina
Rocha, Paulo R. F. 
Keywords: MEA; brain cells; electrical recordings; Organ-on-Chip; microfluidics; Brain-on-Chip
Issue Date: 20-Jun-2021
Publisher: MDPI AG
Project: The Royal Society, grant number RSGnR1n180260 “Modelling brain function through Organ-on-Chip platforms for drug discovery applications” 
Serial title, monograph or event: Micromachines
Volume: 12
Issue: 6
Abstract: Organ-on-Chip technology is commonly used as a tool to replace animal testing in drug development. Cells or tissues are cultured on a microchip to replicate organ-level functions, where measurements of the electrical activity can be taken to understand how the cell populations react to different drugs. Microfluidic structures are integrated in these devices to replicate more closely an in vivo microenvironment. Research has provided proof of principle that more accurate replications of the microenvironment result in better micro-physiological behaviour, which in turn results in a higher predictive power. This work shows a transition from a no-flow (static) multi-electrode array (MEA) to a continuous-flow (dynamic) MEA, assuring a continuous and homogeneous transfer of an electrolyte solution across the measurement chamber. The process through which the microfluidic system was designed, simulated, and fabricated is described, and electrical characterisation of the whole structure under static solution and a continuous flow rate of 80 µL/min was performed. The latter reveals minimal background disturbance, with a background noise below 30 µVpp for all flow rates and areas. This microfluidic MEA, therefore, opens new avenues for more accurate and long-term recordings in Organ-on-Chip systems.
URI: https://hdl.handle.net/10316/105237
ISSN: 2072-666X
DOI: 10.3390/mi12060727
Rights: openAccess
Appears in Collections:I&D CFE - Artigos em Revistas Internacionais

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