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Real-Time Analysis of Oxygen Gradient in Oocyte Respiration Using a High-Density Microelectrode Array.
William Tedjo1, Yusra Obeidat2, Giovana Catandi3
1Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA.
Biosensors
|August 26, 2021
Summary
This study introduces a novel electrochemical imaging system for real-time, high-resolution oxygen consumption rate (OCR) analysis in live cells. The platform offers improved spatial and temporal dynamics for cellular metabolism studies.
Area of Science:
- Biomedical Engineering
- Cellular Physiology
- Electrochemistry
Background:
- Oxygen concentration gradients are crucial for understanding cell metabolism.
- Current oxygen sensing methods have limitations in resolution, speed, and cost.
- Electrochemical imaging offers a potential solution for high-resolution, real-time oxygen monitoring.
Purpose of the Study:
- To present an electrochemical sensor platform with a custom CMOS-based microchip and microelectrode array (MEA) for measuring cellular oxygen consumption rate (OCR).
- To demonstrate the system's capability for real-time, 2D oxygen imaging with high spatial and temporal resolution.
- To analyze the OCR and oxygen flux density of bovine cumulus-oocytes-complexes cells.
Main Methods:
- Development of a custom CMOS-based microchip with a high-density, Pt-coated MEA (16,064 pixels over 3.6 mm x 3.6 mm).
- Utilization of a three-electrode configuration for electrochemical measurements.
- Integration of a microfluidic system for bio-sample handling and delivery.
- Real-time 2D imaging of dissolved oxygen concentration at 27.5 µm spatial and 4 Hz temporal resolution.
Main Results:
- The system successfully imaged low oxygen concentrations (down to 18.3 µM).
- Real-time 2D heatmaps visualized dissolved oxygen concentration near the MEA.
- Bovine cumulus-oocytes-complexes cells OCR and oxygen flux density were analyzed in vitro.
- Demonstrated spatial and temporal dynamics of live cell/tissue metabolism.
Conclusions:
- The developed electrochemical imaging system provides a powerful tool for real-time, high-resolution OCR analysis.
- This technology overcomes limitations of existing oxygen sensing methods, enabling deeper insights into cellular metabolism.
- The platform facilitates the study of spatial and temporal dynamics of cell metabolism in live samples.
Keywords:
CMOS biosensorelectrochemistrymicroelectrode arraymicrofluidicsoxygen concentration gradientoxygen consumption rateoxygen flux
