This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 861915. Coordinated by George-John Nychas gjn@aua.gr
The 27th International ICFMH Conference “FoodMicro 2022” was held in Athens, Greece on August 28-31, 2022. The DiTECT project was represented by numerous works either as oral or poster presentations. The partners had the opportunity to present the concept and the philosophy of the project as well as part of their findings so far.
Topics – among others – covered by the research groups were related to
a. Investigation of new tools and acquisition of further information on quantitative microbiological risk assessment,
b. Prevalence and characterization of biological (e.g. microorganisms) and chemical (e.g. toxins) hazards,
c. Investigation of rapid methods for the food quality assessment with the contribution of Information Technology (data analysis, IT-based platforms, data management etc).
Antimicrobial resistance of Escherichia coli at single cell level (oral presentation)
Papagianeli S1, Stasinou K1, Aspridou Z1, Koutsoumanis K1
1Laboratory of Food Microbiology and Hygiene, Department of Food Science and Technology, School of Agriculture, Aristotle University of Thessaloniki, Thessaloniki, Greece
Quantitative Microbiological Risk Assessment: What about a real-time product specific decision making tool?
Stathas L1, Aspridou Z1, Koutsoumanis K1
1Department of Food Science and Technology, Faculty of Agriculture, Forestry and Natural Environment, School of Agriculture, Aristotle University of Thessaloniki, Thessaloniki, Greece
Quantitative Microbiological Risk Assessment (QMRA) of fresh poultry spoilage
Tsaloumi S1, Koutsoumanis K1
1Laboratory of Food Microbiology and Hygiene, Department of Food Science and Technology, School of Agriculture, Aristotle University of Thessaloniki, Thessaloniki, Greece
Deeper insight into stochastic microbial inactivation
Aspridou Z1, Koutsoumanis K1
1Aristotle University of Thessaloniki, Thessaloniki, Greece
Insights into the behavioral heterogeneity of individual bacterial cells
Stasinou K1, Papagianeli S1, Aspridou Z1, Koutsoumanis K1
1Laboratory of Food Microbiology and Hygiene, Department of Food Science and Technology, School of Agriculture, Aristotle University of Thessaloniki, Thessaloniki, Greece
1Bioinformatics Group, Department of Agrifood, School of Water, Energy and Environment Cranfield University, Cranfield, Bedfordshire, United Kingdom, 2Laboratory of Microbiology and Biotechnology of Foods, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, Athens, Greece, 3Videometer A/S, Herlev, Denmark
1Shandong Agricultural University, Taian, China, 2Agricultural University of Athens, Athens, Greece
Dourou D1, Vitsou-Anastasiou S1,2, Doulgeraki A1, Argyri A1, Chorianopoulos N1, Nychas G2, Tassou C1
1Institute of Technology of Agricultural Products, Hellenic Agricultural Organization – DIMITRA, Athens, Greece, 2Laboratory of Food Microbiology and Biotechnology, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, Athens, GreeceAssessment of the occurrence of Ochratoxin A in commercially available corn and corn-based products from the Greek market
Froutis G1,2, Argyri A1, Doulgeraki A1, Chronopoulos M2, Nychas G2, Tassou C1
1Institute of Technology of Agricultural Products, Hellenic Agricultural Organization – DIMITRA, Athens, Greece, 2Laboratory of Food Microbiology and Biotechnology, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, Athens, Greece
Growth patterns of luminous Photobacterium on chilled chicken meat and genotypic characterization of individual isolates
Dourou D1, Vitsou-Anastasiou S1,2, Doulgeraki A1, Argyri A1, Chorianopoulos N1, Nychas G2, Tassou C1
1Hellenic Agricultural Organisation DIMITRA, Institute of Technology of Agricultural Products, Lycovrissi, Attica, Greece, 2Agricultural University of Athens, Department of Food Science and Human Nutrition, Laboratory of Food Microbiology and Biotechnology, Athens, Greece
Nychas G1, Tassou C2, Dong P3, Zhang Y3, Koutsoumanis K4, Luo X3, Mohareb F5
1 Agricultural University of Athens, Athens, Greece, 2 Hellenic Agricultural Organisation DIMITRA, Athens, Greece, 3 Shangdong Agricultural University, Shangdong, China, 4 Aristotle University of Thessaloniki, Thessaloniki, Greece, 5 Cranfield University, Cranfield, UK
Discrimination of milk from different animal species using FTIR features
Fengou L1, Tsakanikas P1, Manthou E1, Stamatiou A1, Nychas G1
1 Laboratory of Microbiology and Biotechnology of Foods, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, Athens, Greece
Multispectral Imaging (MSI) coupled with machine learning algorithms for the microbiological quality assessment and discrimination of seaweed Alaria esculenta
Lytou A1, Tsakanikas P1, Karnavas A1, Nychas G1
1Agricultural University of Athens, Athens, Greece
Schoina E1, Lytou A1, Nychas G1
1Agricultural University of Athens, Athens, Greece
