Related Experiment Videos
Intravascular carbon dioxide monitoring using micro-flow colorimetry
1Department of Chemical, Bio and Materials Engineering, Arizona State University, Tempe 85287-6006, USA.
Biosensors & Bioelectronics
|January 1, 1997
Summary
This study introduces a novel intravascular carbon dioxide (CO2) sensor for real-time blood gas monitoring. The developed CO2 sensor demonstrates high accuracy, stability, and fast response times in in vivo trials.
Area of Science:
- Biomedical Engineering
- Medical Devices
- Analytical Chemistry
Background:
- Accurate intravascular blood gas monitoring is crucial for critical care.
- Existing methods for continuous CO2 measurement face limitations in stability and accuracy.
- A need exists for a reliable, real-time intravascular CO2 sensor.
Purpose of the Study:
- To investigate a novel intravascular carbon dioxide sensor.
- To evaluate the sensor's performance in vivo using a pig model.
- To assess the sensor's stability, response time, and accuracy.
Main Methods:
- Developed an intravascular CO2 sensor utilizing continuous reagent perfusion through silicone membrane tubing.
- Integrated the sensor into a catheter system for periodic blood withdrawal-reinfusion.
- Employed an optical cell to detect reagent color changes indicative of CO2 levels.
- Conducted in vivo trials on pigs to validate sensor performance.
Main Results:
- The sensor demonstrated stable performance with fast response times (2 min) and high signal-to-noise ratios.
- Achieved a resolution of +/-2 mmHg and minimal drift over 12 hours.
- In vivo pig model trials showed excellent correlation (0.998), precision (1.3 mmHg), and bias (1.7 mmHg).
- The sensor exhibited immunity to temperature variations, reduced blood flow, photobleaching, and leaching.
Conclusions:
- The developed intravascular CO2 sensor offers a promising solution for continuous blood gas monitoring.
- The sensor exhibits robust performance characteristics, including accuracy, stability, and rapid response.
- This technology has the potential to improve patient management in critical care settings.