Prof. Dr. Zoltán Kovács - MATE Research
Overview
Dr. Zoltan Kovacs is full professor at the Institute of Food Science and Technology, MATE. His original scope of research is the application and development of artificial taste and odor sensing systems, with a major focus on the electronic tongue, it’s related measurement protocol and data evaluation techniques primarily in the field of food science. Since his post doc period at Kobe University, Japan he has become an expert in near infrared spectroscopy (NIRS) and the novel aquaphotomics technique. He investigates the application of these techniques for various systems including wide range of food matrixes, biological organisms, developing measurement and data evaluation protocols for rapid and non-invasive applications. He is the European Liaison of the International Aquaphotomics Society.
Research keywords:
Publications
Effects of single and repeated drought on soil microarthropods in a semi-arid ecosystem depend more on timing and duration than drought severity
Explore the influence of soil quality on crop yield using statistically-derived pedological indicators
Interpretation of soil quality indicators for land suitability assessment – A multivariate approach for Central European arable soils
Long-term effects of conservation tillage on soil erosion in Central Europe: A random forest-based approach
Statistical models in Entomology
Temperature-dependent development of Aproceros leucopoda (Hymenoptera: Argidae), an invasive pest of elms in Europe
Cold tolerance strategy and cold hardiness of the invasive zigzag elm sawfly Aproceros leucopoda (Hymenoptera: Argidae)
Effect of temperature on the sex ratio and life table parameters of the leek-(L1) and tobacco-associated (T) Thrips tabaci lineages (Thysanoptera: Thripidae)
Host plant range of Aproceros leucopoda is limited within Ulmaceae
Reproductive Isolation in the Cryptic Species Complex of a Key Pest: Analysis of Mating and Rejection Behaviour of Onion Thrips (Thrips tabaci Lindeman)
There Is No Influence of Egg Size on Sex Allocation in Arrhenotokous Lineages of Thrips tabaci Lindeman
Reproductive Isolation in the Cryptic Species Complex of a Key Pest: Analysis of Mating and Rejection Behaviour of Onion Thrips (Thrips tabaci Lindeman)
Statistical models in viticulture
Stability of ampelometric characteristics of vitis vinifrra l. cv.'syrah' and 'sauvignon blanc' leaves: Impact of within-vineyard variability and pruning method/bud load
Bois noir affects the yield and wine quality of Vitis vinifera L. cv. ‘Chardonnay’
The Effect of Grapevine Variety and Wine Region on the Primer Parameters of Wine Based on1H NMR-Spectroscopy and Machine Learning Methods
Morphological Traits Evaluated with Random Forest Method Explains Natural Classification of Grapevine (Vitis vinifera L.) Cultivars
Statistical models in diversity studies
Birds and plants: Comparing biodiversity indicators in eight lowland agricultural mosaic landscapes in Hungary
Tomato Landraces May Benefit from Protected Production—Evaluation on Phytochemicals
Local characteristics of the standing genetic diversity of european beech with high within-region differentiation at the eastern part of the range
In the shade – Screening of medicinal and aromatic plants for temperate zone agroforestry cultivation
Tomato Landraces May Benefit from Protected Production—Evaluation on Phytochemicals
Statistical models of biological processes
Degradation of anthocyanin content in sour cherry juice during heat treatment
Mathematical modelling of the accumulation of carbohydrates and organic acids throughout the ripening process of Hungarian sour cherry cultivars
Stress-induced changes of growth, yield and bioactive compounds in lemon balm cultivars
Changes of the microsporogenesis process and blooming time of three apricot genotypes (Prunus armeniaca L.) in Central Hungary based on long-term observation (1994–2018)
Production of cinnamyl alcohol glycosides by biotransformation in roseroot callus cells
Heat treatment of reishi medicinal mushroom (Ganoderma lingzhi) basidiocarp enhanced its β‐glucan solubility, antioxidant capacity and lactogenic properties
Estimation of Blooming Start with the Adaptation of the Unified Model for Three Apricot Cultivars (Prunus armeniaca L.) Based on Long-Term Observations in Hungary (1994–2020)
Projects
Development of the complex system of fruit production and processing in the Szabolcs-Szatmár-Bereg region for efficient and sustainable economic operation
The most important objective of the project is to develop the conditions for ecosystem-based farming, to efficiently produce raw materials of appropriate quality and origin, to develop and implement complex technologies, to produce products with high added value, and to market them. The production of premium quality products by developing the whole food chain from farm-to-fork.
https://palyazatok.uni-mate.hu/ginop-2.2.1-18-2020-00025
FOOD Quality in Digital Age
The primary objective of the project is to promote knowledge sharing in the V4+ region (Visegrad countries and Serbia) on the digitalisation of agriculture, with a special focus on food production. The objective is to create an international research and education network by integrating the expertise and practical experience of the five regional universities.
https://ray.uni-mate.hu/en/web/mate-p%C3%A1ly%C3%A1zatok/food-quality-in-digital-age
Aquaphotomics, the innovative water-centred application of near-infrared spectroscopy in food science
Developing method for the rapid and efficient selection of probiotic bacterial strains and a deeper understanding of their mechanism of action. Understanding water structure changes during plant cell development, linking water structure as a biomarker to physiological processes using aquaphotomics.
The potential of an innovative method of near-infrared spectroscopy called Aquaphotomics to detect food adulteration
The project aims to develop rapid measurement methods based on near-infrared spectroscopy and aquaphotomics and electronic tongue measurement techniques for the detection of food adulteration and further development of some of the results for their practical application.
Detection of tomato concentrate adulteration by standard and rapid methods
The aim of our research is to develop methods to detect the presence and extent of food adulteration in tomato concentrates. Product-specific physical and chemical analyses are complemented by complex rheological, optical system, multisensor, near-infrared spectroscopic analyses, and aquaphotomics.
