Modeling the response function of dual-enzyme microbiosensors

Area of Science:

• Biotechnology
• Biosensor Technology
• Biochemistry

Background:

• Dual-enzyme biosensors offer sensitive detection but require complex modeling for accurate calibration.
• Self-assembled monolayers (SAM) are utilized in microbiosensor construction.
• Amperometric detection is a common method for biosensing applications.

Purpose of the Study:

• To develop a general theoretical model for competitive dual-enzyme microbiosensors.
• To predict the sensor signal based on enzyme concentrations and analyte levels.
• To validate the model with experimental data for adenosine triphosphate (ATP) sensors.

Main Methods:

• Derivation of a theoretical model for amperometric dual-enzyme ATP sensors.
• Incorporation of statistical probability of molecular competition between enzymes (glucose oxidase/hexokinase).
• Integration of enzymatic reaction rates and surface concentrations into the model.

Main Results:

• The model shows excellent agreement with experimental ATP measurements using microelectrodes.
• Accurate predictions were achieved for ATP concentrations ranging from 10 to 300 microM.
• The model successfully predicted sensor signals under physiologically relevant glucose levels.

Conclusions:

• The developed theoretical model simplifies the design and calibration of dual-enzyme biosensors.
• Reduced development time for new biosensor technologies is anticipated.
• The model provides an analytical framework for understanding and optimizing biosensor response functions.