Michael Sulyokمشاهده پروفایل
پژوهشگر
- Mycotoxin Analysis
- Mass Spectrometry
- Food Safety
- +۴ مورد دیگر
Michael Sulyok is a prominent researcher at the Institute of Bioanalytics and Agro-Metabolomics, University of Natural Resources and Life Sciences, Vienna (BOKU), specializing in advanced analytical methods for food and feed safety. His work focuses on developing quantitative LC-MS/MS techniques capable of detecting over 1000 fungal metabolites and plant toxins at sub-μg/kg levels, leveraging one of the world's largest collections of fungal metabolite standards. He actively collaborates with international partners including Wageningen University and Nigerian research institutions. His core research interests include: Overcoming matrix effects in multi-toxin analysis Validation of high-throughput LC-MS/MS methods Climate change impacts on mycotoxin occurrence Infrared spectroscopy (NIR/MIR) for rapid on-field screening Diffusion patterns of toxins in mold-affected foods Emerging contaminants beyond EU-regulated mycotoxins Analysis of his 2025 publications reveals strong emphasis on real-time monitoring solutions, particularly portable infrared spectroscopy integrated into agricultural machinery for wheat quality assessment. His team is pioneering the use of CO2 sensors and 3D-printed modules for early contamination detection, while expanding multi-analyte coverage to plant-based alternatives and animal feeds under diverse environmental conditions. No scientific awards were documented in the provided materials. Sulyok supervises graduate theses at BOKU as indicated by his participation in Doc Day events, though specific student names were not disclosed. His research is supported by EU-funded consortia including FFoQSI and MycoKey, with extensive field work in Africa examining mycotoxin exposure in dairy cattle, maize, and infant foods. He leads a specialized team within BOKU's Tulln campus facility, utilizing cutting-edge mass spectrometers and chemometric approaches. The group maintains critical reference standards for fungal metabolites and is currently developing combine harvester-integrated NIR systems for wheat breeding, alongside investigating fungal metabolite profiles in aquaponics and novel matrices like vegan cheeses and moldy bread.