Molecularly Imprinted Polymer-Based Biomimetic Systems for Sensing Environmental Contaminants, Biomarkers, and
Kalaipriya Ramajayam1,2, Selvaganapathy Ganesan1,2, Purnimajayasree Ramesh2,3
1Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India.
Biomimetics (Basel, Switzerland)
|June 27, 2023
Summary
Molecularly imprinted polymers (MIPs) offer enhanced sensitivity and specificity for sensors. This review details MIP synthesis, advanced applications in detecting biomarkers and pollutants, and future bioimaging potential.
Area of Science:
- Materials Science
- Analytical Chemistry
- Biomimetic Systems
Background:
- Molecularly imprinted polymers (MIPs) are artificial receptors mimicking biological systems.
- MIPs significantly enhance sensor sensitivity and specificity through selective analyte binding.
- Applications span medical, pharmaceutical, food, and environmental monitoring.
Purpose of the Study:
- To review MIP synthesis strategies and imprinting parameter optimization.
- To highlight recent advancements like MIP nanocomposites and thin layers.
- To explore MIP applications in optical and electrochemical sensors for diverse targets.
Main Methods:
- In-depth explanation of polymerization chemistries and synthesis strategies for MIPs.
- Discussion of factors influencing imprinting parameters for high-performance MIPs.
- Review of recent developments including nanoscale and surface imprinting.
Main Results:
- MIPs demonstrably improve the performance of optical and electrochemical sensors.
- MIP-based sensors show efficacy in detecting biomarkers, enzymes, bacteria, viruses, and micropollutants.
- MIPs are emerging as valuable tools in bioimaging applications.
Conclusions:
- MIPs represent a powerful platform for developing advanced, highly specific sensors.
- Continued research into MIPs promises further innovation in diagnostics and environmental monitoring.
- Future directions include optimizing MIPs for complex bioimaging and sensing tasks.


