László Baranyai
professor
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About
Professor László Baranyai is a faculty member at the Hungarian University of Agriculture and Life Sciences, located in Hungary. His research interests encompass food technology and quality assessment, with recent studies focusing on laser light backscattering techniques, food traceability through advanced digital solutions, and the monitoring of agricultural product quality. He is actively involved in exploring innovative methods for analyzing plant characteristics and improving food preservation techniques.
Articles (26)
Year:
2025
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2025
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2025
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2025
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2025
The Polar Qualification System (PQS) was applied on hue spectra fingerprinting to describe color changes in tomato during storage. The cultivar ‘Pitenza’ was harvested at six different maturity stages, and half of the samples were subjected to gaseous 1-methylcyclopropene (1-MCP) treatment. Reference color parameters were recorded with a vision system colorimeter instrument, and the fruit pigment concentration was assessed with the DA-index®. Additionally, acoustic firmness (Stiffness) was measured. All acquired reference parameters were used to grade fruit in the supply chain. The applied 1-MCP treatments were used to control the ripening of climacteric horticultural produce. Both the DA-index® and stiffness values, presented as chlorophyll concentration and acoustic firmness, showed significant differences among maturity stages and treated and control samples and in their kinetics during storage. The machine vision parameter PQS-X was significantly affected by 1-MCP treatment (F = 10.18, p < 0.01), while PQS-Y was primarily affected by storage time (F = 18.18, p < 0.01) and maturity stage (F = 11.15, p < 0.01). A significant correlation was achieved for acoustic firmness with normalized color (r > 0.78) and PQS-Y (r > 0.80), as well as for the DA-index® (r > 0.9). The observed color changes agreed with the reference measurements. The significant statistical effect on the PQS coordinates suggests that hue spectra fingerprinting with this data compression technique is suitable for quality assessment based on color.
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2024
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2024
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2024
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2024
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2024
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2022
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2022
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2022
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2022
Collaborators (8)
Timea Kaszab
Hungarian University of Agriculture and Life Sciences
Géza Hitka
Hungarian University of Agriculture and Life Sciences (MATE)
ILARIA FILIPPETTI
Associate Professor
University of Bologna
Trang H.D Nguyen
Assistant Professor
Missouri Southern State University
Quang Nguyen
professor
Hungarian University of Agriculture and Life Sciences
Tamás Deák
associate professor
Hungarian University of Agriculture and Life Sciences (MATE)
Tamás Zsom
associate professor
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Donatella Albanese
University of Salerno
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