eprintid: 10204297 rev_number: 7 eprint_status: archive userid: 699 dir: disk0/10/20/42/97 datestamp: 2025-02-03 16:09:41 lastmod: 2025-02-03 16:09:41 status_changed: 2025-02-03 16:09:41 type: article metadata_visibility: show sword_depositor: 699 creators_name: Garg, Saweta creators_name: Singla, Pankaj creators_name: Kaur, Sarbjeet creators_name: Canfarotta, Francesco creators_name: Velliou, Eirini creators_name: Dawson, James A creators_name: Kapur, Nikil creators_name: Warren, Nicholas J creators_name: Amarnath, Shoba creators_name: Peeters, Marloes title: Future Perspectives on the Automation and Biocompatibility of Molecularly Imprinted Polymers for Healthcare Applications ispublished: inpress divisions: UCL divisions: B02 divisions: C10 divisions: D16 divisions: G88 keywords: Immunology, Materials, Monomers, Peptides And Proteins, Polymers note: Copyright © 2025 The Authors. Published by American Chemical Society. This publication is licensed under CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/). 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. date: 2025-02-01 date_type: published publisher: American Chemical Society (ACS) official_url: https://doi.org/10.1021/acs.macromol.4c01621 oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 2357919 doi: 10.1021/acs.macromol.4c01621 lyricists_name: Velliou, Eirini lyricists_id: EVELL97 actors_name: Velliou, Eirini actors_name: Allington-Smith, Dominic actors_id: EVELL97 actors_id: DAALL44 actors_role: owner actors_role: impersonator full_text_status: public publication: Macromolecules issn: 0024-9297 citation: Garg, Saweta; Singla, Pankaj; Kaur, Sarbjeet; Canfarotta, Francesco; Velliou, Eirini; Dawson, James A; Kapur, Nikil; ... Peeters, Marloes; + view all <#> Garg, Saweta; Singla, Pankaj; Kaur, Sarbjeet; Canfarotta, Francesco; Velliou, Eirini; Dawson, James A; Kapur, Nikil; Warren, Nicholas J; Amarnath, Shoba; Peeters, Marloes; - view fewer <#> (2025) Future Perspectives on the Automation and Biocompatibility of Molecularly Imprinted Polymers for Healthcare Applications. Macromolecules 10.1021/acs.macromol.4c01621 <https://doi.org/10.1021/acs.macromol.4c01621>. (In press). Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10204297/1/Velliou_garg-et-al-2025-future-perspectives-on-the-automation-and-biocompatibility-of-molecularly-imprinted-polymers-for.pdf