Objective
Rapid industrialization and urbanization have resulted in escalated atmospheric carbon dioxide (CO2) and other toxic gas levels, contributing to ambient and household air pollution. Aligned with the United Nations SDG-3 (good health and wellbeing), SDG-3.9 (substantial reduction in deaths and illnesses from air pollution) and EUMission: adaptation to climate change, developing efficient gas sensors to monitor indoor as well as outdoor air quality is a global priority. Current technologies including spectral, chemical and electrochemical sensors suffer from poor selectivity, long-term stability and high-energy footprints. These pitfalls foster the search for alternative energy-efficient sensing techniques that offer a robust and universal gas detection mechanism with long-durability. Development of underexplored functionalized metal-organic frameworks (MOFs) and derived sensory-platforms have the potential to provide a better solution for efficient monitoring of atmospheric CO2 levels via sustainable adsorption/desorption cycles. By bridging the differential gas diffusion properties in MOF pores and emerging microfabrication technique, the TRACE project will develop a new sensing methodology and fabricate a novel micro-sensor device for selective gas sensing. Via a novel temperature-step approach to realize out-of-equilibrium conditions will lead to benchmark CO2 detection, stemming from kinetic selectivity of the sensor. The TRACE project bridges the candidate's strong background in porous materials with the host group's extensive experience in microfabrication, making it a feasible undertaking. Long-term career goal set at being a world leader in Sensing and Purification Chemistry, this fellowship will be decisive for me to achieve academic independence, aided by research career startup grants leading to tenure track professorships within EU.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
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Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinator
3000 Leuven
Belgium