Epitope-Imprinted Polymers for Selective Recognition of Bacterial Proteins: From Design to Analytical Applications

Epitope-imprinted polymers (EIPs) represent an advanced evolution of molecular imprinting technology for selective bacterial recognition. By using short, surface-exposed peptide fragments derived from bacterial proteins rather than whole cells or full-length proteins, EIPs enable the formation of structurally defined and chemically robust recognition cavities with improved accessibility, stability, and reproducibility. To the best of our knowledge, this review provides the first dedicated and focused overview of EIPs in bacterial detection. The fundamental principles of epitope imprinting are discussed, including rational epitope selection, computational modeling, monomer optimization, imprinting strategies (bulk, surface, nanoMIP, and electropolymerization), and template removal approaches. Representative applications targeting clinically significant pathogens such as Mycobacterium leprae, Salmonella Typhi, and Neisseria meningitidis are critically examined, highlighting analytical performance parameters including detection limits, imprinting factors, selectivity in complex biological matrices, and integration with electrochemical and piezoelectric transducers. In addition to summarizing current achievements, this review evaluates practical limitations related to epitope accessibility, matrix interference, fabrication reproducibility, scalability, and hospital-based implementation. Emerging strategies, including AI-assisted epitope design, multiepitope imprinting, nanomaterial-enhanced architectures, and portable point-of-care systems, are discussed as potential solutions to improve robustness and translational applicability. By consolidating current progress and identifying key scientific and technological gaps, this work clarifies the position of EIPs as promising synthetic recognition elements for next-generation bacterial diagnostics in clinical, food safety, and environmental monitoring.

Authors

Institutions

Publication Details

Journal
ACS Measurement Science Au
Published
2026-04-13
DOI
https://doi.org/10.1021/acsmeasuresciau.6c00055
Primary Topic
Analytical chemistry methods development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epitope-Imprinted Polymers for Selective Recognition of Bacterial Proteins: From Design to Analytical Applications

Aziz Amine, Waleed Alahmad, Stefano Cinti, Mohamed Aly Saad Aly et al.
ACS Measurement Science Au
Analytical chemistry methods development
article

Epitope-Imprinted Polymers for Selective Recognition of Bacterial Proteins: From Design to Analytical Applications

Aziz Amine, Waleed Alahmad, Stefano Cinti, Mohamed Aly Saad Aly, Ahmed S. El-tahlawy
article en

Abstract

Epitope-imprinted polymers (EIPs) represent an advanced evolution of molecular imprinting technology for selective bacterial recognition. By using short, surface-exposed peptide fragments derived from bacterial proteins rather than whole cells or full-length proteins, EIPs enable the formation of structurally defined and chemically robust recognition cavities with improved accessibility, stability, and reproducibility. To the best of our knowledge, this review provides the first dedicated and focused overview of EIPs in bacterial detection. The fundamental principles of epitope imprinting are discussed, including rational epitope selection, computational modeling, monomer optimization, imprinting strategies (bulk, surface, nanoMIP, and electropolymerization), and template removal approaches. Representative applications targeting clinically significant pathogens such as Mycobacterium leprae, Salmonella Typhi, and Neisseria meningitidis are critically examined, highlighting analytical performance parameters including detection limits, imprinting factors, selectivity in complex biological matrices, and integration with electrochemical and piezoelectric transducers. In addition to summarizing current achievements, this review evaluates practical limitations related to epitope accessibility, matrix interference, fabrication reproducibility, scalability, and hospital-based implementation. Emerging strategies, including AI-assisted epitope design, multiepitope imprinting, nanomaterial-enhanced architectures, and portable point-of-care systems, are discussed as potential solutions to improve robustness and translational applicability. By consolidating current progress and identifying key scientific and technological gaps, this work clarifies the position of EIPs as promising synthetic recognition elements for next-generation bacterial diagnostics in clinical, food safety, and environmental monitoring.

ACS Measurement Science Au
Georgia Institute of Technology (US), Chulalongkorn University (TH), Temple College (US), University of Naples Federico II (IT), Temple University (US), University of Hassan II Casablanca (MA)
Responsible consumption and production
Openalex Percentile: Top 20%
Analytical chemistry methods development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.