Research projects
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GELSONDE: gaining better understanding of nitrogen dioxide
The GELSONDE project brings together a team of materials chemists and sensor specialists who are joining forces to create a new, low-cost, and portable sensor.
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GREENFRUIT: energy efficient fruit quality monitoring
The project team will advance the research & development activities to the next level. They focus on providing solutions reducing storage energy consumption by promoting green and energy efficient fresh fruit storage & sustainable agriculture
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Towards a fossil-free future: advancing green hydrogen ecosystems
Researchers from TDLab have teamed up with 32 parties from research and industry to work together on developing safe and cost-effective solutions for HyTROS - “Hydrogen Transport, Offshore and Storage” within the WP2 of the GroenvermogenNL.
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Synoptics
The SYNOPTICS programme will adopt a unique synoptic approach by using all properties of light: amplitude, phase, polarisation and multi-wavelength, to achieve breakthroughs in optical resolution and sensitivity.
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MAX-FRESH
The MAX-FRESH project is developing the ISS-Monitor, a sensor to detect spoilage in fresh produce, potentially reducing waste by 50%, extending storage life, and generating €110M post-2023.
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TRIAGE
TRIAGE develops an advanced air pollution monitoring system using photonic sensing technology. This portable, high-performance device detects molecular gases with high precision in real-time, filling gaps in local community air quality monitoring.
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SensorChip
"SensorChip" is developing micro-photonic chip-based sensors for measuring fluid/gas flows, gas composition, and detecting biomarkers, focusing on flow sensors, (bio)gas sensors, and cancer detectors.
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OBSeRVeD
A consortium is developing a sensor to detect disease-specific odours from animals, aiming to provide farmers with early warnings. The focus is on studying volatile organic compounds (VOCs) as potential biomarkers in e-nose-based sensors.
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EBI: Engineering Business Intelligence
A novel generation of Industry 4.0 algorithms offers an opportunity for considerable evidence-based value creation in Dutch Process Industry, allowing a more comprehensive and real-time view on process performance.