Smart Portable System for VOCs detection - VOC-DETECT

Project summary

Most human environments are characterised by the presence of a large number of chemical substances which mainly belong to the group of volatile organic compounds (VOC). Numerous studies revealed the toxic and carcinogenic effects of these VOCs which usually can be found in indoor air, but the tools for the detection of VOCs are still not very precise and too expensive. The project will develop new sensors based on nano MOX and CNT materials for VOC detection, integrated into a smart portable system providing quantitative information about the concentration of Formaldehyde and Benzene in indoor air. The results will be: - Technology demonstrator and Smart, portable system prototype and new formaldehyde and benzene sensors; - Technology for thin sensitive films deposition and integration in the microtechnology steps flow for sensors fabrication on silicon – Demonstration; - E-Nose system, including sensor array, data processing algorithms and software for VOCs accurate detection.

Project Details

Call

Call 2018


Call Topic

Functional materials


Project start

06.01.2019


Project end

31.05.2022


Total project costs

365.500 €


Total project funding

358.000 €


TRL

2 - 6


Coordinator

Dr. Carmen Moldovan

National Institute for R&D in Microtechnologies, 126A Erou Iancu Nicolae, 077190 Voluntari, Romania


Partners and Funders Details

Consortium Partner   Country Funder
National Institute for R&D in Microtechnologies
https://www.imt.ro
Research org. Romania RO-UEFISCDI
“Ilie Murgulescu” Institute of Physical Chemistry of the Romanian Academy
https://www.icf.ro
Research org. Romania RO-UEFISCDI
Institute for Technical Physics and Materials Science, Centre for Energy Research, Hungarian Academy of Sciences
https://www.mfa.kfki.hu
Research org. Hungary HU-NKFIH
NANOM MEMS
https://www.nanom-mems.com
SME Romania RO-UEFISCDI

Keywords

nanomaterials, micromanufacturing, MEMS, smart building, smart materials, formaldehyde sensors, benzene sensors