The „RespectATOM“, project focuses on research into hybrid spectrometric methods for the precise identification of atoms and molecules at very low concentrations (at the ppb level), using sensor fusion and machine learning technologies.

Project code: 09105-03-V02-00028

Project description: The “RespectATOM” project focuses on the development and validation of advanced analytical methods that enable reliable identification of atoms and molecules at extremely low concentrations. By combining multiple spectrometric principles, sensor data fusion, and machine learning algorithms, the project aims to achieve higher accuracy, sensitivity, and robustness of measurements under real-world conditions.

Project objective: The objective of the project is to develop a hybrid spectrometric analysis methodology based on the integration of multiple measurement technologies and intelligent data processing. The outcome will be a system capable of fast, accurate, and automated identification of substances at the ppb level, applicable in both research and practical applications.

Non-repayable financial contribution: –

Partners:

• University of Žilina
• NOVO s.r.o.
• NT Research s.r.o.