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Bio-mimetic sensors based on molecularly imprinted membranes

Academic Article
Publication Date:
2014
abstract:
An important challenge for scientific research is the production of artificial systems able to mimic the recognition mechanisms occurring at the molecular level in living systems. A valid contribution in this direction resulted from the development of molecular imprinting. By means of this technology, selective molecular recognition sites are introduced in a polymer, thus conferring it bio-mimetic properties. The potential applications of these systems include affinity separations, medical diagnostics, drug delivery, catalysis, etc. Recently, bio-sensing systems using molecularly imprinted membranes, a special form of imprinted polymers, have received the attention of scientists in various fields. In these systems imprinted membranes are used as bio-mimetic recognition elements which are integrated with a transducer component. The direct and rapid determination of an interaction between the recognition element and the target analyte (template) was an encouraging factor for the development of such systems as alternatives to traditional bio-assay methods. Due to their high stability, sensitivity and specificity, bio-mimetic sensors-based membranes are used for environmental, food, and clinical uses. This review deals with the development of molecularly imprinted polymers and their different preparation methods. Referring to the last decades, the application of these membranes as bio-mimetic sensor devices will be also reported. © 2014 by the authors; licensee MDPI, Basel, Switzerland.
Iris type:
01.01 Articolo in rivista
Keywords:
Bio-mimetic sensors; Biosensors; Membranes; Molecular imprinting; Molecular recognition; Molecularly imprinted
List of contributors:
Drioli, Enrico; Guzzo, Laura; Algieri, Catia; Donato, Laura
Authors of the University:
ALGIERI CATIA
DONATO LAURA
Handle:
https://iris.cnr.it/handle/20.500.14243/269214
Published in:
SENSORS (BASEL)
Journal
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http://www.scopus.com/inward/record.url?eid=2-s2.0-84905251471&partnerID=q2rCbXpz
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