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Sensor4Diabetes

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Hybrid sensor for diabetes detection from exhaled breath using nanoparticles loa...

Hybrid sensor for diabetes detection from exhaled breath using nanoparticles loaded 1D metal oxides Health and well-being has been one of the kHealth and well-being has been one of the key societal and grand challenges identified in EC Research and Innovation programs. Diabetes is one of the most prevailing chronic health proble... ver más

01/11/2022

CITY

225K€

Presupuesto del proyecto: 225K€

Líder del proyecto

CITY UNIVERSITY OF LONDON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-11-01

MSCA-IF-2019: Individual Fellowships Objective:The goal of the Individual Fellowships is to enhance the creative and innovative potential...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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1 Participantes

CITY

224.93K€ | Lider

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Duración del proyecto: 30 meses Fecha Inicio: 2020-04-06
Fecha Fin: 2022-11-01

Líder del proyecto

CITY UNIVERSITY OF LONDON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 225K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Health and well-being has been one of the kHealth and well-being has been one of the key societal and grand challenges identified in EC Research and Innovation programs. Diabetes is one of the most prevailing chronic health problems across Europe and worldwide. Diabetic patients experience painful blood glucose testing in daily basis which is highly inconvenient. Replacement of blood testing with non-invasive methods would bring a paradigm shift in diabetes management. Human exhaled breath consists of several traces of volatile organic compounds (VOCs) known as breath marker. The presence of increased amount of acetone, ethanol and methyl nitrate has been confirmed in diabetic breath by various sophisticated techniques which are not suitable for routine clinical practice or domestic use due to their non-portability, complexity, bulk-size and high costs. Metal oxide sensors have considerable potential in detecting VOCs in exhaled breath. For VOCs analysis in breath requires high sensitivity together with high selectivity. The aim of this project is to develop hybrid sensor for analyzing VOCs in breath from 1D metal oxide nanostructures functionalized with different catalytic nanoparticles. Both impedometric and photonic properties of the sensors will be measured in presence of synthetic healthy and synthetic diabetic breath. The 1D metal oxide nanostructures on sensing platform could provide high surface-to-volume ratio for surface adsorption/desorption of gas molecules together with excellent electronic and optical properties. The addition of catalytic nanoparticles on the surface of 1D nanostructures will enhance the sensitivity and response time towards VOCs by lowering the oxidation energy, increasing the catalytic surface area and catalytic activation of gas molecules. It is expected that adoption of hybrid sensing principle will enhance the selectivity towards individual VOCs which is essential for the development of highly effective diabetic breath analyzer.

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