Future Perspectives on the Automation and Biocompatibility of Molecularly Imprinted Polymers for Healthcare Applications

Saweta Garg, Pankaj Singla, Sarbjeet Kaur, Francesco Canfarotta, Eirini Velliou, James A. Dawson, Nikil Kapur, Nicholas J. Warren, Shoba Amarnath, Marloes Peeters*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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 in vivo behavior of MIPs with animal-free technologies (e.g., 3D tissue models) will be critical to assess their clinical potential.
Original languageEnglish
Pages (from-to)1157–1168
JournalMacromolecules
Volume58
Issue number3
Early online date1 Feb 2025
DOIs
Publication statusPublished - 11 Feb 2025

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