Abstract
The use of specific and sensitive sensing layers for molecular diagnosis and biosensor developments is crucial for producing a successful device. The sensing layers are required to be stable and robust for sample analysis (serum, urine, water, soil extracts and foods), storage and application in field conditions. Therefore, the technology is advancing to replace nature molecules with synthetic materials that are more stable and robust for sensing purposes. A range of novel approaches have recently been used based on synthetic chemistry and computational methodologies to complement natural affinity systems with synthetic ligands. Peptides have emerged as one of the promising approaches to synthetic biomimics. The characteristic properties of synthetic peptides can render them as potential alternatives to antibodies and natural receptors for biosensor application. Different methodologies are used today to design and discover sensitive and selective peptides for specific analytes. These include computational chemistry, combinatorial chemistry, phage display technology and molecular imprinting. This chapter introduces the concept of using peptides as sensing materials and cover methods of their design, selection, synthesis and use as receptors in sensors and diagnostics applications. Problems and challenges facing this technology are also discussed.
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Abbreviations
- DNA:
-
Deoxyribonucleic acid
- SPE:
-
Solid phase extraction columns
- HPLC:
-
High-performance liquid chromatography
- GC:
-
Gas chromatography
- CAMD:
-
Computer-aided molecular design
- MIPs:
-
Molecularly Imprinted Polymers
- PEGA:
-
Polyethylene glycol acrylamide
- HTS:
-
High-throughput screening
- DCL:
-
Dynamic combinatorial library
- NMQ:
-
N-methyl quinuclidinium iodide
- Ach:
-
Acetylcholine iodide
- ab MCR:
-
Aqueous-based Multi-Component Reaction
- NMR:
-
Nuclear magnetic resonance
- QSAR:
-
Quantitative structure-activity relationships
- SPR:
-
Surface plasmon resonance
- QCM:
-
Quartz crystal microbalance
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Tothill, I.E. (2010). Peptides as Molecular Receptors. In: Zourob, M. (eds) Recognition Receptors in Biosensors. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-0919-0_6
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