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Molecularly imprinted polymers as emerging engineered platforms for precision molecular sensing.

Ankur Singh1, Shubhangi1,2, Supratim Mahapatra1

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Summary

Molecularly imprinted polymers (MIPs) offer selective and stable synthetic recognition for sensors. This review details MIP components, imprinting chemistry, polymerization methods, and sensing applications for diverse molecules.

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Area of Science:

  • Materials Science
  • Polymer Chemistry
  • Analytical Chemistry

Background:

  • Molecularly imprinted polymers (MIPs) are synthetic materials offering high selectivity and stability, serving as alternatives to natural biorecognition elements.
  • Advancements in nanotechnology and polymer chemistry have positioned MIPs as promising materials for sensor devices.

Purpose of the Study:

  • To provide a comprehensive review of functional MIP structures, including monomers, cross-linkers, initiators, template molecules, and porogens.
  • To discuss the chemical interactions involved in polymer imprinting and various polymerization methods for MIP formulation.
  • To explore MIP-based sensing applications for small molecules, macromolecules, and environmental pollutants.

Main Methods:

  • Detailed discussion of MIP components and their roles in imprinting.
  • Elaboration on polymerization techniques: bulk, surface, electro-polymerization, sol-gel, phase inversion, and epitope imprinting.
  • Analysis of MIP-based sensor fabrication strategies, limits of detection (LOD), linear dynamic range (LDR), and real-sample considerations.

Main Results:

  • Insights into the chemical interactions governing MIP formation and functionality.
  • Comprehensive overview of diverse polymerization methods for creating functional MIPs.
  • Discussion of MIP sensor performance metrics and application scope across various molecular targets.

Conclusions:

  • MIPs are versatile synthetic materials with significant potential in sensor technology.
  • Understanding MIP synthesis and imprinting mechanisms is crucial for optimizing sensor performance.
  • Further research is needed to address translational bottlenecks for real-time MIP sensor applications.