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A highly permselective electrochemical glucose sensor using red blood cell membrane.
Insu Kim1, Dohyung Kwon1, Dongtak Lee1
1School of Biomedical Engineering, Korea University, Seoul 02841, Republic of Korea.
Biosensors & Bioelectronics
|December 18, 2017
Summary
A novel biosensor uses red blood cell membranes (RBCM) for highly selective glucose detection. This RBCM coating improves accuracy by acting as a barrier to interfering molecules, enhancing glucose measurement even in human serum.
Area of Science:
- Biomedical Engineering
- Materials Science
- Analytical Chemistry
Background:
- Accurate glucose monitoring is crucial for diabetes management.
- Existing glucose sensors face challenges with selectivity due to interfering biomolecules.
- Red blood cell membranes (RBCM) possess unique properties for molecular transport.
Purpose of the Study:
- To develop a highly selective electrochemical enzymatic biosensor for glucose measurement.
- To investigate the efficacy of RBCM as a permselective layer in glucose sensing.
- To enhance the accuracy and reliability of glucose detection in complex biological samples.
Main Methods:
- Fabrication of an enzymatic glucose sensor coated with human RBCM using vesicle fusion.
- Utilizing scanning electron microscopy (SEM) and atomic force microscopy (AFM) to characterize the RBCM layer.
- Evaluating sensor performance for glucose selectivity against interfering molecules (ascorbic acid, uric acid, galactose) and in human serum.
Main Results:
- The RBCM coating acted as an effective diffusion barrier, preventing interference from other molecules.
- The RBCM-coated sensor demonstrated significantly improved selectivity and accuracy for glucose detection compared to uncoated sensors.
- Enhanced performance was observed even when tested in human serum samples.
Conclusions:
- Red blood cell membranes are a promising biomaterial for creating highly selective glucose biosensors.
- The RBCM layer effectively functions as a permselective barrier, enhancing glucose measurement accuracy.
- This RBCM-based approach offers a viable strategy for improving biosensor performance in clinical applications.
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