Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/188544
Título: Spotlights of MIP-sensors for drugs and protein biomarkers
Autor: Yarman, Aysu
Oktay, Aysel
Toksoy, Melis Işık
de Souza, Sivoney Ferreira
Ameixa, João
Bald, Ilko
Ustundag, Cem Bulent
Scheller, Frieder W.
Palavras-chave: Biomarkers
Biomimetic sensors
Drugs
Molecularly imprinted polymer
Analytical Chemistry
Data: Jun-2025
Resumo: Molecularly Imprinted Polymers (MIPs) are potential tools in pharmaceutical analysis and for determining protein biomarkers. This review presents a comprehensive comparison of MIP synthesis concepts, i.e., segment vs. whole template imprinting and polymerization of the template/monomer mixture vs. “hierarchical (oriented) imprinting” and combinations of MIPs with enzymes, antibodies, and aptamers, respectively. For low-molecular-weight substances such as drugs and biomacromolecules, the hierarchical polymer synthesis around the oriented template results in MIPs with higher affinity than MIPs prepared by polymerizing a mixture of the template and functional monomers. Application of the target molecule fragments as the template, so-called epitopes, gives MIPs that possess comparable affinity towards the whole analyte as the “Whole-molecule”-MIPs, but the synthesis costs are considerably lower. The combination of MIPs with enzymes, antibodies, and aptamers allows the expansion of the analyte spectrum, amplifies the signal, and suppresses interfering substances. Catalytically active MIPs may, in the future, substitute enzymes and catalyze unnatural reactions.
Descrição: Funding Information: A.Y. would like to thank the German Academic Exchange Service (DAAD) for its financial support provided through project funding by the Federal Ministry of Education and Research (BMBF) via the University of Potsdam. This study was supported by Turkish-German University Scientific Research Projects Commission under the grant no: 2024BF04 and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through the cluster of excellence "UniSysCat" under Germany's Excellence Strategy-EXC2008-390540038. Publisher Copyright: © 2024 The Authors
Peer review: yes
URI: http://hdl.handle.net/10362/188544
DOI: https://doi.org/10.1016/j.jpbao.2024.100048
ISSN: 2949-771X
Aparece nas colecções:Home collection (FCT)

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