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      Blueprints for Biosensors: Design, Limitations, and Applications

      review-article

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          Abstract

          Biosensors are enabling major advances in the field of analytics that are both facilitating and being facilitated by advances in synthetic biology. The ability of biosensors to rapidly and specifically detect a wide range of molecules makes them highly relevant to a range of industrial, medical, ecological, and scientific applications. Approaches to biosensor design are as diverse as their applications, with major biosensor classes including nucleic acids, proteins, and transcription factors. Each of these biosensor types has advantages and limitations based on the intended application, and the parameters that are required for optimal performance. Specifically, the choice of biosensor design must consider factors such as the ligand specificity, sensitivity, dynamic range, functional range, mode of output, time of activation, ease of use, and ease of engineering. This review discusses the rationale for designing the major classes of biosensor in the context of their limitations and assesses their suitability to different areas of biotechnological application.

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          Most cited references92

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          Systematic evolution of ligands by exponential enrichment: RNA ligands to bacteriophage T4 DNA polymerase.

          L Gold, C Tuerk (1990)
          High-affinity nucleic acid ligands for a protein were isolated by a procedure that depends on alternate cycles of ligand selection from pools of variant sequences and amplification of the bound species. Multiple rounds exponentially enrich the population for the highest affinity species that can be clonally isolated and characterized. In particular one eight-base region of an RNA that interacts with the T4 DNA polymerase was chosen and randomized. Two different sequences were selected by this procedure from the calculated pool of 65,536 species. One is the wild-type sequence found in the bacteriophage mRNA; one is varied from wild type at four positions. The binding constants of these two RNA's to T4 DNA polymerase are equivalent. These protocols with minimal modification can yield high-affinity ligands for any protein that binds nucleic acids as part of its function; high-affinity ligands could conceivably be developed for any target molecule.
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            Biosensors: sense and sensibility.

            This review is based on the Theophilus Redwood Medal and Award lectures, delivered to Royal Society of Chemistry meetings in the UK and Ireland in 2012, and presents a personal overview of the field of biosensors. The biosensors industry is now worth billions of United States dollars, the topic attracts the attention of national initiatives across the world and tens of thousands of papers have been published in the area. This plethora of information is condensed into a concise account of the key achievements to date. The reasons for success are examined, some of the more exciting emerging technologies are highlighted and the author speculates on the importance of biosensors as a ubiquitous technology of the future for health and the maintenance of wellbeing.
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              Aptamer-based biosensors

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                Author and article information

                Journal
                Genes (Basel)
                Genes (Basel)
                genes
                Genes
                MDPI
                2073-4425
                26 July 2018
                August 2018
                : 9
                : 8
                : 375
                Affiliations
                [1 ]Department of Molecular Sciences, Macquarie University, Sydney, NSW 2109, Australia; alexander.charles.carpenter@ 123456gmail.com (A.C.C.); ian.paulsen@ 123456mq.edu.au (I.T.P.)
                [2 ]CSIRO Synthetic Biology Future Science Platform, Canberra, ACT 2601, Australia
                Author notes
                [* ]Correspondence: tom.williams@ 123456mq.edu.au ; Tel.: +61-298508129
                Author information
                https://orcid.org/0000-0002-0594-3441
                Article
                genes-09-00375
                10.3390/genes9080375
                6115959
                30050028
                1ec2c019-1390-45e3-8afa-2690951e9e1e
                © 2018 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 ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 May 2018
                : 23 July 2018
                Categories
                Review

                biosensors,synthetic biology,analytics,molecular diagnostics,protein switches,aptamers,high-throughput screening,metabolic engineering

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