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Characterising the biosensing interface
The development of diagnostic devices relies heavily on the immobilization of biomolecules on supportive substrates, that is the generation of interfaces that can thereafter produce a quantifiable signal upon exposure to a specific target. The ability of a biosensor to selectively recruit analytes i...
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Published in: | Analytica chimica acta 2022-07, Vol.1216, p.339759-339759, Article 339759 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The development of diagnostic devices relies heavily on the immobilization of biomolecules on supportive substrates, that is the generation of interfaces that can thereafter produce a quantifiable signal upon exposure to a specific target. The ability of a biosensor to selectively recruit analytes is highly dependent on the quality of this receptive biolayer and its functionality. Key performance metrics are selectivity and sensitivity and both are highly dependent on the interfacial structural and physical properties, though often these are not well resolved; in many cases analyses are performed, for example with little knowledge of receptor surface coverage, orientation and/or distribution. In this review, we provide a, necessarily concise, but comprehensive summary of accessible and relevant characterization techniques, noting operational principles, limitations, and the value they can bring in optimising downstream sensor performance.
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•Most academically-developed sensors lack a real world reproducibility and fail authorization by regulatory bodies.•In many cases underpinning sensor characterization is poor and observations empirical rather than understood.•We provide a comprehensive summary of current common sensor characterization strategies, their significance and limitations.•We critically evaluate the current status quo and provide a future outlook. |
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ISSN: | 0003-2670 1873-4324 |
DOI: | 10.1016/j.aca.2022.339759 |