SubsidieMeestersMetal-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.
Projectdetails
Introduction
Detecting volatile organic compounds (VOCs) at low concentrations is an important but challenging task with a range of applications, including checking food freshness, monitoring indoor air quality, and diagnosing lung conditions through breath analysis. In all of these areas, high-performance yet compact VOC sensors are needed.
Challenges with Existing Sensors
While compact VOC sensors exist, they suffer from:
- Limited lifetimes
- Low selectivities
- Often produce questionable data
Potential of Metal-Organic Frameworks
Metal-organic frameworks (MOFs) with pores of molecular dimensions are excellent materials to adsorb VOC analytes from air, even at very low concentrations.
Project Goals
The MOFFET project targets the integration of MOFs with transistor technology to realize a novel type of VOC sensor.
Innovative Approaches
In addition, the modular nature of MOFs and microfabrication will be combined to realize an ‘electronic nose’ demonstrator for the selective detection in mixtures of VOCs.
Expected Outcomes
If successful, the project will contribute to:
- Novel, non-invasive medical diagnostics
- Checking food freshness
- Monitoring air quality
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 150.000 |
| Totale projectbegroting | € 150.000 |
Tijdlijn
| Startdatum | 1-4-2022 |
| Einddatum | 30-9-2023 |
| Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- KATHOLIEKE UNIVERSITEIT LEUVENpenvoerder
- INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM
Land(en)
Geen landeninformatie beschikbaar
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Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Decoding the Mechanisms Underlying Metal-Organic Frameworks Self-AssemblyMAGNIFY aims to develop a multi-scale computational methodology to decode MOF self-assembly mechanisms, enabling efficient synthesis and rational design of new materials. | ERC STG | € 1.340.375 | 2022 | Details |
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Decoding the Mechanisms Underlying Metal-Organic Frameworks Self-Assembly
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