Molecularly imprinted polymers for biomarker detection: Advances in design, modeling, and sensing strategies

Molecularly imprinted polymers (MIPs) are highly attractive for biomarker detection by offering highly stable, selective, and tailorable synthetic receptors that overcome key limitations of traditional biorecognition elements. As the demand for rapid, sensitive, and multiplexed diagnostic tools intensifies, MIPs have gained considerable attention for their ability to recognize structurally diverse and low-abundance biomarkers. We critically evaluate next-generation imprinting techniques, such as solid-phase synthesis for the development of high-affinity nanoMIPs, electrospinning for producing high-surface-area fibrous MIPs, and 3D-imprinting for creating structured MIPs with improved kinetic properties. Special attention is given to innovative strategies that significantly enhance MIP functionality: multi-template imprinting for the simultaneous detection of multiple analytes, snapshot imprinting for capturing complex epitopes, hybrid systems that integrate MIPs with aptamers or antibodies for synergistic effects, and boronate-affinity imprinting methods for selective glycoprotein recognition. Additionally, we discuss how these cutting-edge design strategies are being further empowered by computational modeling and seamlessly integrated into novel transducer platforms, bridging the gap between materials innovation and functional device performance. We also address the remaining challenges that must be overcome to enable widespread clinical translation and real-world deployment of MIP-based biosensors. • Recent advancements in MIP design strategies. • Multiscale modelling and machine learning in MIP development. • Developments in MIP-based sensing platforms. • MIP-based biomolecule detection.

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Publication Details

Journal
TrAC Trends in Analytical Chemistry
Published
2025-10-07
DOI
https://doi.org/10.1016/j.trac.2025.118487
Citations
8
Primary Topic
Analytical chemistry methods development
Type
article
Field-Weighted Citation Impact
6.02
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article

Molecularly imprinted polymers for biomarker detection: Advances in design, modeling, and sensing strategies

M. M. Abdelhamied, Christine Kranz, Boris Mizaikoff, Soumya Rajpal et al.
8 citations
TrAC Trends in Analytical Chemistry
Analytical chemistry methods development
6.02
article

Molecularly imprinted polymers for biomarker detection: Advances in design, modeling, and sensing strategies

M. M. Abdelhamied, Christine Kranz, Boris Mizaikoff, Soumya Rajpal, Prashant Mishra
article en
8 citations

Abstract

Molecularly imprinted polymers (MIPs) are highly attractive for biomarker detection by offering highly stable, selective, and tailorable synthetic receptors that overcome key limitations of traditional biorecognition elements. As the demand for rapid, sensitive, and multiplexed diagnostic tools intensifies, MIPs have gained considerable attention for their ability to recognize structurally diverse and low-abundance biomarkers. We critically evaluate next-generation imprinting techniques, such as solid-phase synthesis for the development of high-affinity nanoMIPs, electrospinning for producing high-surface-area fibrous MIPs, and 3D-imprinting for creating structured MIPs with improved kinetic properties. Special attention is given to innovative strategies that significantly enhance MIP functionality: multi-template imprinting for the simultaneous detection of multiple analytes, snapshot imprinting for capturing complex epitopes, hybrid systems that integrate MIPs with aptamers or antibodies for synergistic effects, and boronate-affinity imprinting methods for selective glycoprotein recognition. Additionally, we discuss how these cutting-edge design strategies are being further empowered by computational modeling and seamlessly integrated into novel transducer platforms, bridging the gap between materials innovation and functional device performance. We also address the remaining challenges that must be overcome to enable widespread clinical translation and real-world deployment of MIP-based biosensors. • Recent advancements in MIP design strategies. • Multiscale modelling and machine learning in MIP development. • Developments in MIP-based sensing platforms. • MIP-based biomolecule detection.

TrAC Trends in Analytical ChemistryVol. 194
Cairo University (EG), Universität Ulm (DE), Hahn-Schickard-Gesellschaft für angewandte Forschung (DE), Indian Institute of Technology Delhi (IN)
Openalex Percentile: Top 3%
Analytical chemistry methods development
6.02
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