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A multi-sensor system for measuring bovine embryo metabolism.

Yusra Obeidat1, Giovana Catandi2, Elaine Carnevale2

  • 1Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA.

Biosensors & Bioelectronics
|December 4, 2018
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This study introduces a novel multi-sensor platform for real-time metabolic flux analysis in bovine embryos. The system accurately monitors dissolved oxygen, glucose, and lactate, aiding in understanding early embryonic development.

Keywords:
Bovine embryoClark oxygen sensorEnzymatic sensorGlucose sensorLactate sensorMulti-sensors

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Area of Science:

  • Reproductive Biology
  • Biotechnology
  • Metabolic Engineering

Background:

  • Assessing metabolic flux in early embryos is crucial for understanding developmental processes.
  • Current methods often lack the real-time, multi-analyte capabilities needed for comprehensive analysis.
  • Bovine embryo development relies on precise energy metabolism, influenced by oxidative phosphorylation and glycolysis.

Purpose of the Study:

  • To develop and validate a multi-sensor platform for simultaneous measurement of dissolved oxygen, glucose, and lactate in bovine embryos.
  • To enable real-time evaluation of metabolic flux in single oocytes and embryos.
  • To investigate metabolic shifts during bovine embryonic development using the developed platform.

Main Methods:

  • Development of a micro-chamber integrating sensors for dissolved oxygen, glucose, and lactate.
  • Utilizing the platform to measure metabolic parameters in bovine embryos within small volumes (≤120 µL).
  • Employing oligomycin to induce metabolic shifts and validate sensor response to changes in oxidative phosphorylation and glycolysis.

Main Results:

  • The multi-sensor platform successfully detected metabolic shifts, including decreased oxygen consumption and increased lactate production upon oligomycin addition.
  • A progressive increase in the lactate/oxygen flux ratio was observed as embryos developed from morula to hatched blastocysts, indicating a shift towards glycolysis.
  • The system demonstrated real-time monitoring capabilities for both aerobic and anaerobic energy metabolism.

Conclusions:

  • The developed metabolic multi-sensor platform is effective for integrative, real-time monitoring of energy metabolism in bovine embryos.
  • This technology provides valuable insights into metabolic processes during early embryonic development.
  • Potential applications include enhanced studies of oocyte and early embryo metabolism and improved assisted reproductive technologies.