Project

Porous Networks for Gas Sensing

Acronym
SENNET
Code
41S08922
Duration
01 September 2022 → 31 August 2026
Funding
European funding: framework programme, Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Catalysis
Keywords
air pollution
Other information
 
Project description

Air pollution is one of the most pressing environmental challenges worldwide. While outdoor air pollution appears often in the media, the effects of indoor air pollution are not to be underestimated since the average person spends about 22 h per day indoors. Many chemicals that decrease the quality of indoor air are emitted by carpets, paints, furniture, etc. The majority of these pollutants are volatile organic compounds (VOCs). Since VOCs can cause not only discomfort but also debilitating or even fatal conditions, it is desirable to measure VOC concentrations with high spatial and temporal resolution, via low-cost but reliable miniature sensors. However, selectively measuring harmful VOCs is particularly challenging because of the low concentration of the analyte and the multitude of interfering compounds present in indoor air. Currently available miniature sensors (e.g. metal oxide semiconductor sensors) typically cannot distinguish a VOC of interest from, for instance, an air freshener.

SENNET will develop novel sensors for the selective detection of priority VOCs, based on leveraging the adsorption properties of tuneable porous materials, namely metal-organic frameworks (MOFs) and zeolites. To do so, we will bridge the gap between two fields, namely porous crystalline materials and sensor technology, that have thus far been separated by traditional subject boundaries.

 
Role of Ghent University
The Center for Molecular Modelling (CMM, Ghent University) is partner of the SENNET consortium. Prof. Van Speybroeck and Prof. Vanduyfhuys will contribute to the development of dedicated models for adsorption isotherms and dielectric constants and are the supervisors of two joint PhDs within this project.
 
 
Disclaimer
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the authority can be held responsible for them.