Dr. Zoltán Gillay - MATE Research
Overview
Dr. Zoltán Gillay focuses on advancing methods in NIR infrared spectroscopy, striving to enhance precision and efficacy. His expertise extends to the development of applications in hyperspectral imaging, where he explores the potential for innovation. Proficient in image processing, he contributes significantly to automation and the creation of sophisticated measurement algorithms. Beyond his technical pursuits, Zoltan is deeply interested in teaching methodologies in higher education, recognizing the pivotal role they play in shaping future generations. Additionally, he actively engages in understanding and promoting the mental health of students, recognizing the interconnectedness of well-being and academic success.
Research keywords:
Publications
Near Infrared Spectroscopy
Detecting low concentrations of nitrogen-based adulterants in whey protein powder using benchtop and handheld NIR spectrometers and the feasibility of Scanning through plastic bag
Detection and quantification of tomato paste adulteration using conventional and rapid analytical methods
Characterization and Viability Prediction of Commercial Probiotic Supplements under Temperature and Concentration Conditioning Factors by NIR Spectroscopy
Electronic Tongue
Standardized extraction techniques for meat analysis with the electronic tongue: A case study of poultry and red meat adulteration
Detection of monilia contamination in plum and plum juice with nir spectroscopy and electronic tongue
Factors influencing the long-term stability of electronic tongue and application of improved drift correction methods
Dielectric Moisture Measurements
Dielectric reference materials for mathematically modeling and standardizing grain moisture meters
Hyper spectral imaging
Dielectric reference materials for mathematically modeling and standardizing grain moisture meters
Image analysis
Assessment of biofilm formation of listeria monocytogenes strains
Projects
Monitoring plant growth with NIR
Constructing a climate chamber for precise control of humidity, temperature, and light with varied spectral distributions. This enables thorough exploration of how diverse growing conditions impact plants and their quantification through NIR measurements.
