ReviewMacromolecules2025
Future Perspectives on the Automation and Biocompatibility of Molecularly Imprinted Polymers for Healthcare Applications.
Review in Macromolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- From empirical imprinting to programmable synthetic receptors: a perspective on data science and machine learning for molecularly imprinted polymers.Polymer chemistry · 2026Review
- Engineering molecularly imprinted polymers for receptor-specific cancer therapeutics.Nanoscale · 2026Review
- Crossing the Blood-Brain Barrier with Molecularly Imprinted Polymeric Nanocarriers: An Emerging Frontier in Brain Disease Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Tuning Polyacrylate Composition to Recognize and Modulate Fluorescent Proteins.Angewandte Chemie (International ed. in English) · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Molecular recognition is of crucial importance in several healthcare applications, such as sensing, drug delivery, and therapeutics. Molecularly imprinted polymers (MIPs) present an interesting alternative to biological receptors (e.g., antibodies, enzymes) for this purpose since synthetic receptors overcome the limited robustness, flexibility, high-cost, and potential for inhibition that comes with natural recognition elements. However, off the shelf MIP products remain limited, which is likely due to the lack of a scalable production approach that can manufacture these materials in high yields and narrow and defined size distributions to have full control over their properties. In this Perspective, we will confer how breakthroughs in the automation of MIP design, manufacturing, and evaluation of performance will accelerate the (commercial) implementation of MIPs in healthcare technology. In addition, we will discuss how prediction of the
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.