Metal-Organic-Framework Kinetic Array for Diabetes Detection
This project aims to develop a novel sensor using metal-organic frameworks to selectively detect volatile organic compounds in breath for non-invasive diabetes diagnosis.
Projectdetails
Introduction
Diabetes mellitus is a global health concern affecting 537 million people and resulting in over 6.7 million deaths yearly. Diagnosis currently relies on blood analysis, which is expensive, time-consuming, and invasive.
Alternative Diagnosis Method
Breath analysis based on the detection of volatile organic compounds (VOCs) is a promising non-invasive alternative. However, selectively measuring specific VOCs in breath is challenging due to:
- Their low concentrations
- The presence of interfering compounds
Need for Novel Technology
Since current miniature sensors cannot efficiently distinguish between VOCs, there is a need for a novel technology capable of distinguishing a VOC of interest from a complex background.
Project Aim
This project aims to address this challenge by combining a highly promising class of porous crystalline materials, metal-organic frameworks (MOFs), with sensor technology.
Sensing Concept
A novel sensing concept based on the kinetic selectivity in the pores of the MOFs will be leveraged to mimic nature’s approach to olfaction and enable selective sensing.
Demonstrator Development
A demonstrator will be established to enable diabetes mellitus diagnosis and prove the breakthrough potential of this disruptive sensing platform.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 150.000 |
Totale projectbegroting | € 150.000 |
Tijdlijn
Startdatum | 1-11-2024 |
Einddatum | 30-4-2026 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- KATHOLIEKE UNIVERSITEIT LEUVENpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Metal-Organic Framework Field-Effect Transistor Arrays for Chemical SensingThe MOFFET project aims to develop a novel VOC sensor by integrating metal-organic frameworks with transistor technology for improved detection in medical diagnostics, food freshness, and air quality monitoring. | ERC Proof of... | € 150.000 | 2022 | Details |
Kinetic selectivity in molecular sieve sensorsKISSIES aims to develop a novel sensor technology using tailored metal-organic frameworks to selectively detect volatile organic compounds in complex environments, enhancing applications in health and safety. | ERC Consolid... | € 2.480.500 | 2022 | Details |
Atomistic Modeling of Advanced Porous Materials for Energy, Environment, and Biomedical ApplicationsThis project aims to develop a materials intelligence ecosystem to assess guest storage and transport properties of millions of MOFs, enhancing their applications in energy, environmental, and biomedical fields. | ERC Consolid... | € 2.000.000 | 2024 | Details |
POLARSENSE: Polaritonic compact gas sensor demonstratorPOLARSENSE aims to develop a compact, CMOS-compatible optical gas sensor chip using a graphene platform for high-sensitivity detection of multiple gases in portable devices. | ERC Proof of... | € 150.000 | 2023 | Details |
Development of Suprasensors and Assays for Molecular DiagnosticsSupraSense aims to develop advanced biomimetic sensors for detecting metabolites in biofluids, enhancing diagnostic selectivity and sensitivity for early disease detection. | ERC Consolid... | € 1.994.069 | 2023 | Details |
Metal-Organic Framework Field-Effect Transistor Arrays for Chemical Sensing
The MOFFET project aims to develop a novel VOC sensor by integrating metal-organic frameworks with transistor technology for improved detection in medical diagnostics, food freshness, and air quality monitoring.
Kinetic selectivity in molecular sieve sensors
KISSIES aims to develop a novel sensor technology using tailored metal-organic frameworks to selectively detect volatile organic compounds in complex environments, enhancing applications in health and safety.
Atomistic Modeling of Advanced Porous Materials for Energy, Environment, and Biomedical Applications
This project aims to develop a materials intelligence ecosystem to assess guest storage and transport properties of millions of MOFs, enhancing their applications in energy, environmental, and biomedical fields.
POLARSENSE: Polaritonic compact gas sensor demonstrator
POLARSENSE aims to develop a compact, CMOS-compatible optical gas sensor chip using a graphene platform for high-sensitivity detection of multiple gases in portable devices.
Development of Suprasensors and Assays for Molecular Diagnostics
SupraSense aims to develop advanced biomimetic sensors for detecting metabolites in biofluids, enhancing diagnostic selectivity and sensitivity for early disease detection.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Real time Liver disease early diagnosis through exhaled Volatile Organic Compounds sensingDiaNose aims to revolutionize NAFLD diagnostics with a cost-effective, hand-held device using AI to classify breath chemical signatures, achieving >90% accuracy for improved patient outcomes. | EIC Transition | € 2.499.875 | 2024 | Details |
Multivariate optoacoustic sensor for longitudinal diabetes monitoringMOSAIC aims to develop a portable, non-invasive optoacoustic sensor powered by explainable AI to monitor diabetes, enhancing early detection and treatment while reducing healthcare costs. | EIC Pathfinder | € 2.997.921 | 2025 | Details |
Smart Electronic Olfaction for Body Odor DiagnosticsSMELLODI aims to digitize and synthesize olfactory information for remote disease diagnostics and assist individuals with olfactory disorders using advanced sensor technology and machine learning. | EIC Pathfinder | € 3.263.781 | 2022 | Details |
Towards the ultimate breath analysis -based continuous healthcareVOCORDER aims to develop a compact, efficient breath analysis device using advanced laser technology and AI to provide holistic health monitoring seamlessly integrated into daily life. | EIC Pathfinder | € 3.873.437 | 2023 | Details |
Mid-infrared Wearable for Non-invasive biomarker monitoringThe project aims to develop a wearable device using a miniature Mid-Infrared spectrometer for non-invasive biomarker detection in metabolic syndrome, enhancing early diagnosis and management. | EIC Pathfinder | € 3.991.297 | 2024 | Details |
Real time Liver disease early diagnosis through exhaled Volatile Organic Compounds sensing
DiaNose aims to revolutionize NAFLD diagnostics with a cost-effective, hand-held device using AI to classify breath chemical signatures, achieving >90% accuracy for improved patient outcomes.
Multivariate optoacoustic sensor for longitudinal diabetes monitoring
MOSAIC aims to develop a portable, non-invasive optoacoustic sensor powered by explainable AI to monitor diabetes, enhancing early detection and treatment while reducing healthcare costs.
Smart Electronic Olfaction for Body Odor Diagnostics
SMELLODI aims to digitize and synthesize olfactory information for remote disease diagnostics and assist individuals with olfactory disorders using advanced sensor technology and machine learning.
Towards the ultimate breath analysis -based continuous healthcare
VOCORDER aims to develop a compact, efficient breath analysis device using advanced laser technology and AI to provide holistic health monitoring seamlessly integrated into daily life.
Mid-infrared Wearable for Non-invasive biomarker monitoring
The project aims to develop a wearable device using a miniature Mid-Infrared spectrometer for non-invasive biomarker detection in metabolic syndrome, enhancing early diagnosis and management.