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Chemosensors 2017, 5(2), 11; doi:10.3390/chemosensors5020011

Enzymes as Tools in MIP-Sensors

1
Institute of Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam, Germany
2
Faculty of Science, Molecular Biotechnology, Turkish-German University, Sahinkaya Cad. 86, 34820 Beykoz, Istanbul, Turkey
3
Université de Technologie de Compiègne, Sorbonne Universités, CS60319, 60203 Compiègne, France
The authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Peter Lieberzeit
Received: 24 December 2016 / Revised: 17 March 2017 / Accepted: 20 March 2017 / Published: 26 March 2017
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Abstract

Molecularly imprinted polymers (MIPs) have the potential to complement antibodies in bioanalysis, are more stable under harsh conditions, and are potentially cheaper to produce. However, the affinity and especially the selectivity of MIPs are in general lower than those of their biological pendants. Enzymes are useful tools for the preparation of MIPs for both low and high-molecular weight targets: As a green alternative to the well-established methods of chemical polymerization, enzyme-initiated polymerization has been introduced and the removal of protein templates by proteases has been successfully applied. Furthermore, MIPs have been coupled with enzymes in order to enhance the analytical performance of biomimetic sensors: Enzymes have been used in MIP-sensors as “tracers” for the generation and amplification of the measuring signal. In addition, enzymatic pretreatment of an analyte can extend the analyte spectrum and eliminate interferences. View Full-Text
Keywords: enzymatic MIP synthesis; template digestion; enzyme tracer; enzymatic analyte conversion; molecularly imprinted polymers enzymatic MIP synthesis; template digestion; enzyme tracer; enzymatic analyte conversion; molecularly imprinted polymers
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Yarman, A.; Jetzschmann, K.J.; Neumann, B.; Zhang, X.; Wollenberger, U.; Cordin, A.; Haupt, K.; Scheller, F.W. Enzymes as Tools in MIP-Sensors. Chemosensors 2017, 5, 11.

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