09-i05-03-v02-00028

Research on hybrid spectrometric methods for the identification of atoms and molecules at the ppb level using sensor fusion and machine learning technologies


Project title:
Research on hybrid spectrometric methods for the identification of atoms and molecules at the ppb level using sensor fusion and machine learning technologies

Call:
09I05-03-V02 „Call to support research projects focused on digitalization of the economy in TRL levels 1-3"

Component:
9: More effective managing and strengthening research, development and innovation funding

Investment:
Investment 5: Research and innovation for the digitalization of the economy

The code of the request for funds from the mechanism:
09-i05-03-v02-00028

Requester identification (name, address, reggon):
Žilinská univerzita v Žiline, Univerzitná 8215/1 010 26 Žilina, IČO: 00397563

Project partner no. 1
Novo, s.r.o., Hlavná 106, 919 26 Zavar, IČO 51458497

Project partner no. 2
NT Research, s.r.o., Námestie Matice slovenskej 4262/22, 018 41 Dubnica nad Váhom, IČO 52298370

Total amount of funds requested from the mechanism:
1 069 833,60 €

Total eligible project expenses:
1 094 958,48 €

Proportion of funding for the mechanism:
87,3943 %

Effective date of the contract:

Start of project implementation:
1.1.2024

End of project implementation:
30.6.2026

Project goal:
The main objective of the project is the research and optimization of hybrid spectroscopic techniques that combine the strengths of optical and mass spectroscopy methods. The intention is to create a highly sensitive, economically efficient and reliable analytical tool capable of detecting molecules at the level of 10 ppb. Such a tool would allow rapid and accurate analysis of complex samples in areas such as medicine, industry and environmental monitoring.

Project milestones:
MS1 – Conceptual design of the prototype of the measuring device
MS2 – Protototype measuring equipment
MS3 – Fúzia prototypu a senzorového softvéru
MS4 – Final Research Report

Project activities:
Will be continuously updated

Project data (open science):
Will be continuously updated