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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The accurate detection of biological substances such as proteins has always been a hot topic in scientific research. Biomimetic sensors seek to imitate sensitive and selective mechanisms of biological systems and integrate these traits into applicable sensing platforms. Molecular imprinting technology has been extensively practiced in many domains, where it can produce various molecular recognition materials with specific recognition capabilities. Molecularly imprinted polymers (MIPs), dubbed plastic antibodies, are artificial receptors with high-affinity binding sites for a particular molecule or compound. MIPs for protein recognition are expected to have high affinity via numerous interactions between polymer matrices and multiple functional groups of the target protein. This critical review briefly describes recent advances in the synthesis, characterization, and application of MIP-based sensor platforms used to detect proteins.

Details

Title
Molecularly Imprinted Polymer-Based Sensors for Protein Detection
Author
Akgönüllü, Semra 1   VIAFID ORCID Logo  ; Kılıç, Seçkin 1   VIAFID ORCID Logo  ; Esen, Cem 2   VIAFID ORCID Logo  ; Denizli, Adil 1   VIAFID ORCID Logo 

 Department of Chemistry, Faculty of Science, Hacettepe University, 06800 Ankara, Turkey 
 Department of Chemistry, Faculty of Science, Aydın Adnan Menderes University, 09010 Aydın, Turkey 
First page
629
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20734360
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2774964384
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.