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      Molecularly-imprinted polymer sensors: realising their potential.

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          Abstract

          In parallel with recent developments in communications, nanotechnology and materials sciences, there has been extraordinary growth in the area of biosensors, with almost half of the total number of papers ever published (1962-2015) appearing in the last five-years (2010-2015). Molecular imprinting offers a route to the creation of specific and selective cavities in a 3D-polymeric network, which are complementary not only to the size and shape of a target species, but also provide interaction points and a coordination sphere around the template molecule. Given the challenges facing biosensor technologists, it is natural that this approach to create potentially highly stable synthetic ligands as an alternative to, or to compliment natural receptors, should emerge as a key line of interdisciplinary research. Despite the profuse amount of recent literature on molecularly-imprinted polymers (MIPs) and some limited commercial activity, these promising materials still need to overcome some limitations before taking their place in analytical market. In this review, we have focused on the most promising advances in MIP-based biosensors to illustrate how close to market they really are. We present our material under five main sections covering computational design, polymerisation strategies, material combinations, recent sensor designs and manufacturing issues. Each section provides technical details and evaluates the effect on sensor performance.

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          Author and article information

          Journal
          Biosens Bioelectron
          Biosensors & bioelectronics
          1873-4235
          0956-5663
          Feb 15 2016
          : 76
          Affiliations
          [1 ] Biosensors and Bioelectronics Centre, IFM, Linköping University, Linköping, Sweden; Biochemistry Division, Department of Chemistry, Hacettepe University, Ankara, Turkey.
          [2 ] Biosensors and Bioelectronics Centre, IFM, Linköping University, Linköping, Sweden. Electronic address: anthony.turner@liu.se.
          Article
          S0956-5663(15)30262-1
          10.1016/j.bios.2015.07.013
          26189406
          7262f3b5-87fa-4163-a9bb-f5912dc39af3
          Copyright © 2015 Elsevier B.V. All rights reserved.
          History

          Computational polymer design,MIP biosensors,Manufacturing MIPs,Monomer combinations,Polymerisation conditions,Synthetic receptors

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