Molecularly Imprinted Polymers and Surface Imprinted Polymers Based Electrochemical Biosensor for Infectious Diseases

Area of Science:

• Electrochemistry
• Materials Science
• Biotechnology

Background:

• Electrochemical biosensors are vital for infectious disease diagnosis due to their simplicity, speed, sensitivity, and low cost.
• The receptor component is crucial for the selectivity, stability, and accuracy of electrochemical biosensors.
• Molecularly imprinted polymers (MIPs) and surface imprinted polymers (SIPs) show significant promise as robust artificial receptors.

Purpose of the Study:

• To review the mechanisms of recognition events between imprinted polymers and various biomarkers relevant to infectious diseases.
• To summarize preparation methods for MIPs/SIPs used in electrochemical biosensors, emphasizing electropolymerization and micro-contact imprinting.
• To highlight the applications of MIPs/SIPs-based electrochemical biosensors in detecting infectious diseases and discuss future challenges and perspectives.

Main Methods:

• Discussion of recognition mechanisms between MIPs/SIPs and biomarkers (signaling molecules, toxins, viruses, microbial cells).
• Summarization of various MIPs/SIPs preparation techniques for electrochemical biosensors.
• Emphasis on electropolymerization and micro-contact imprinting methods.

Main Results:

• MIPs and SIPs demonstrate high selectivity and reliability for detecting infectious disease biomarkers.
• Electrochemical biosensors utilizing MIPs/SIPs are effective tools for identifying a range of infectious agents and molecules.
• Specific imprinting techniques like electropolymerization and micro-contact imprinting are key to developing advanced biosensors.

Conclusions:

• MIPs/SIPs are highly effective artificial receptors for electrochemical biosensors in infectious disease diagnostics.
• Continued research into preparation methods and recognition mechanisms will enhance the performance of these biosensors.
• MIPs/SIPs-based electrochemical biosensors offer a promising future for rapid, selective, and reliable infectious disease detection.