A Capacitive MEMS Viscometric Sensor for Affinity Detection of Glucose

Area of Science:

• Biomedical Engineering
• Materials Science
• Analytical Chemistry

Background:

• Continuous glucose monitoring (CGM) is crucial for effective diabetes management.
• Existing CGM technologies face challenges in accuracy, invasiveness, and long-term stability.
• Development of novel sensing platforms is essential to improve CGM performance.

Purpose of the Study:

• To present a capacitively-based microelectromechanical systems (MEMS) affinity sensor for continuous glucose monitoring (CGM).
• To investigate the sensor's performance using a biocompatible, glucose-sensitive polymer.
• To evaluate the sensor's detection capabilities, response time, and long-term stability.

Main Methods:

• Fabrication of a MEMS sensor featuring a magnetically driven, vibrating Parylene diaphragm within a microchamber.
• Immobilization of a glucose-sensitive polymer (poly(acrylamide-ran-3-acrylamidophenylboronic acid)) in the microchamber.
• Capacitive measurement of diaphragm vibration changes induced by glucose-dependent viscosity alterations.

Main Results:

• The sensor successfully detected glucose in physiologically relevant concentrations (30-360 mg/dL).
• Achieved a rapid response time of approximately 1.5 minutes for glucose concentration changes.
• Demonstrated excellent reversibility and stability, crucial for long-term CGM applications.

Conclusions:

• The developed MEMS affinity sensor shows significant potential for accurate and reliable continuous glucose monitoring.
• The sensor's design offers a foundation for further optimization to enhance performance for clinical use.
• This technology could lead to improved diabetes management through more effective CGM solutions.