
“Hayatta en hakiki mürşit ilimdir.”The truest guide in life is science.Mustafa Kemal Atatürk (1881–1938)Founder of the Republic of Türkiye

“Düşünmeye vakit ayır, düşünce güç için kaynaktır.”Take time to think; thought is the source of power.İzzet Baysal (1907–2000)Founder of Bolu Abant İzzet Baysal University
Nursel SÖYLEMEZ MİLLİ
ResearcherLecturer, PhDFood EngineeringFood Safety
Director · BETUMScientific, Industrial and Technological Application and Research Center
Director · YENİGIDAMInnovative Food Technologies Development Application and Research Center
Bolu Abant İzzet Baysal University, Bolu, Türkiye
Research is focused on food safety and authenticity, with particular emphasis on meat science and processing-induced chemical hazards in meat products. Current work combines MALDI-TOF mass spectrometry, molecular methods such as droplet digital PCR, and gas sensor arrays with machine learning for the rapid detection of food spoilage, adulteration and meat species.
Research Interests
Latest from the Blog
Innovative Food Technologies: Emerging Processing and Preservation Approaches for Sustainable Food Systems
Global food systems are being challenged by population growth, climate change, resource scarcity and rising consumer expectations for safe, minimally processed and nutritious foods. In response, a broad set of innovative technologies has been developed to improve food safety, extend shelf life, reduce waste and lower the environmental footprint of production. These technologies are increasingly regarded not as isolated tools but as interconnected components of a sustainable and data-driven food chain.
Artificial Intelligence in Food Safety: From Data to Risk-Based Decision Making
Food safety management has traditionally relied on periodic sampling, laboratory analysis and expert inspection. Although these approaches remain indispensable, they are often slow, labour-intensive and limited in their ability to detect emerging risks across complex global supply chains. Artificial intelligence (AI) is increasingly being recognized as a tool that can transform the large and heterogeneous data generated in the food sector into timely, risk-based decisions.
Sensor-Based Detection of Food Adulteration: Electronic Noses and Gas Sensor Arrays
Food adulteration, defined as the intentional substitution, dilution or misrepresentation of food products for economic gain, threatens consumer health, trust and fair trade. High-value products such as honey, olive oil, meat, spices, milk and alcoholic beverages are particularly vulnerable. Reference methods including chromatography, mass spectrometry and DNA-based techniques provide high accuracy, but they generally require expensive instruments, trained personnel and time-consuming sample preparation. Sensor-based systems are therefore being investigated as rapid, low-cost and portable screening alternatives.
