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