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Rationally optimized, nanostructure-based biosensors for multi-biomarker cancer diagnostics

Project description

Designing high-sensitivity biosensors for cancer diagnostics

Electrochemical biosensors combine a biological component with an electrochemical detector for the identification and quantitation of a particular substance. As such, they represent a promising approach for cancer detection, utilising nanostructured materials (NSM) as their biosensing elements. However, the current NSM-based biosensors are unsuitable for low-concentration biomarker detection. Funded by the Marie Skłodowska-Curie Actions programme, the TopNanoBiosen project proposes to elucidate the effect of NSM morphologies and compositions on the sensitivity, operation and design of biosensors for cancer detection. The approach will employ realistic carrier conduction simulations of NSM assemblies with varying morphology, geometry and transduction parameters. Project results will provide design guidelines for optimal NSM-based biosensors for applications in cancer diagnostics.

Objective

While electrochemical biosensors are attractive methods of cancer detection, thanks to their low cost and ease of use, nanostructured materials (NSM) are being widely utilized as their biosensing elements due to large surface-to-volume ratio and high sensitivity to external charge transfer. Despite the promise of high performance, current NSM-based electrochemical biosensors for cancer detection focus on one NSM analyzing only a single biomarker type, which makes them unsuitable for low-concentration biomarker detection as required in the analysis of bodily fluids. The combination of several biomarkers has both conceptual and experimental challenges, since different biomarkers have different requirements on the NSM type with different chemistry and transduction mechanisms. Thus, the morphological and physical differences have to be considered for co-integrating such diverse NSMs. I propose to elucidate the effect of NSM morphologies, compositions, and junctions on the operation, sensitivity, and fabricability of biosensors for cancer detection. This goal will be achieved by employing realistic carrier conduction simulations of state-of-the-art NSM assemblies with varying morphology, geometry, and transduction mechanisms to external stimuli. Using my expertise on complex-network-based modelling, the proposed project will provide guidelines for the design of nanostructured devices for optimal biosensors, and allow extrapolation towards the highest achievable performance. This knowledge will inform the fabrication of assay-type electrochemical biosensors for applications in cancer diagnostics. The strong multidisciplinary nature of the project will benefit from the complementary expertise between me and the host institution, enabling a synergy of fundamental advances and application-oriented research. My proposal opens up a new route for achieving high sensitivity biosensing for future diagnostics and therapeutics.

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Topic(s)

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Funding Scheme

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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2020

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Coordinator

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 132 491,82
Address
WELLINGTON SQUARE UNIVERSITY OFFICES
OX1 2JD Oxford
United Kingdom

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Region
South East (England) Berkshire, Buckinghamshire and Oxfordshire Oxfordshire
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 132 491,83
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