Development of an on-column affinity smart polymer gel glucose sensor
Chongdee Thammakhet1, Panote Thavarungkul, Proespichaya Kanatharana
1Trace Analysis and Biosensor Research Center, Prince of Songkla University, Hat Yai, Songkhla, Thailand. chongdee.t@psu.ac.th
Analytica Chimica Acta
|May 24, 2011
Summary
A novel non-enzymatic glucose sensor utilizing an on-column affinity smart polymer gel was developed. This sensor offers a stable, rapid, and accurate method for glucose detection in various samples.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Polymer Science
Background:
- Accurate glucose monitoring is crucial for diabetes management.
- Existing non-enzymatic glucose sensors often face challenges with sensitivity, stability, or complex fabrication.
- Development of cost-effective and robust glucose sensing platforms is an ongoing need.
Purpose of the Study:
- To develop and characterize a novel on-column affinity smart polymer gel for non-enzymatic glucose sensing.
- To evaluate the sensor's performance in terms of linearity, limit of detection, stability, and analysis time.
- To validate the sensor's applicability for glucose determination in both standard solutions and real biological samples.
Main Methods:
- Synthesis of a smart polymer (copolymer of 3-acrylamidophenylboronic acid and acrylamide) in situ within a capillary tube.
- Coating the capillary tube with the affinity smart polymer gel to create an on-column detection system.
- Utilizing UV-vis spectrophotometry at 500 nm to detect changes in optical density correlated with glucose concentration within a flow injection system.
Main Results:
- The developed sensor demonstrated a linear dynamic range of 0.5-16.0 mM with a limit of detection of 0.5 mM.
- The affinity smart polymer gel exhibited good stability over 250 consecutive injections (RSD < 5%) with a rapid analysis time of 6 minutes per injection.
- The sensor showed comparable results to the dinitrosalicylic acid (DNS) method for glucose samples and to standard strip tests for urine samples, with acceptable recovery rates (88-103%).
Conclusions:
- The on-column affinity smart polymer gel sensor provides a sensitive, stable, and rapid non-enzymatic method for glucose detection.
- The developed sensor is suitable for analyzing glucose in both controlled solutions and complex biological matrices like urine.
- This approach offers a promising alternative for glucose monitoring applications.


