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High Throughput Microfluidic Rapid and Low Cost Prototyping Packaging Methods
Published on: December 23, 2013
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A GENERIC PACKAGING TECHNIQUE USING FLUIDIC ISOLATION FOR LOW-DRIFT IMPLANTABLE PRESSURE SENSORS.
A Kim1, C R Powell2, B Ziaie1
1Birck Nanotechnology Center, Purdue University, West Lafayette, IN, USA.
Summary
A novel fluidic isolation packaging method significantly reduces baseline drift in implantable pressure sensors. This technique offers the lowest reported drift for medical pressure sensors, enhancing long-term reliability.
Area of Science:
- Biomedical Engineering
- Sensor Technology
- Materials Science
Background:
- Implantable pressure sensors are crucial for monitoring physiological conditions.
- Baseline drift in these sensors limits their long-term accuracy and reliability.
- The surrounding aqueous environment is a primary contributor to sensor drift.
Purpose of the Study:
- To develop and evaluate a generic packaging method to mitigate baseline drift in implantable pressure sensors.
- To demonstrate the effectiveness of fluidic isolation in improving sensor stability.
Main Methods:
- A fluidic isolation technique was employed, encasing commercial micromachined piezoresistive pressure sensors in a liquid-filled, medical-grade polyurethane balloon.
- The encapsulated sensors were subjected to in-vitro saline soak tests to assess baseline drift over an extended period.
Main Results:
- The fluidic-isolated sensors exhibited an average baseline drift of 0.006 cmH2O/day (0.13 mmHg/month) over 100 days.
- Non-fluidic-isolated sensors showed a significantly higher drift of 0.101 cmH2O/day (2.23 mmHg/month) within 18 days.
- This represents the lowest reported drift for an implantable pressure sensor to date.
Conclusions:
- Fluidic isolation is a highly effective strategy for reducing baseline drift in implantable pressure sensors.
- The developed packaging method enhances the long-term stability and reliability of pressure sensing devices.
- This advancement has significant implications for chronic physiological monitoring applications.

