TY  - JOUR
AU  - Carvalho, Otilia
AU  - Charalambides, Maria N.
AU  - Đekić, Ilija
AU  - Athanassiou, Christos
AU  - Bakalis, Serafim
AU  - Benedito, Jose
AU  - Briffaz, Aurelien
AU  - Castañé, Cristina
AU  - Della Valle, Guy
AU  - Nunes de Sousa, Isabel Maria
AU  - Erdogdu, Ferruh
AU  - Hailu Feyissa, Aberham
AU  - Kavallieratos, Nickolas G.
AU  - Koulouris, Alexandros
AU  - Pojić, Milica
AU  - Raymundo, Anabela
AU  - Riudavets, Jordi
AU  - Sarghini, Fabrizio
AU  - Trematerra, Pasquale
AU  - Tonda, Alberto
PY  - 2021
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5822
AB  - In recent years, modelling techniques have become more frequently adopted in the field of food processing, especially for cereal-based products, which are among the most consumed foods in the world. Predictive models and simulations make it possible to explore new approaches and optimize proceedings, potentially helping companies reduce costs and limit carbon emissions. Nevertheless, as the different phases of the food processing chain are highly specialized, advances in modelling are often unknown outside of a single domain, and models rarely take into account more than one step. This paper introduces the first high-level overview of modelling techniques employed in different parts of the cereal supply chain, from farming to storage, from drying to milling, from processing to consumption. This review, issued from a networking project including researchers from over 30 different countries, aims at presenting the current state of the art in each domain, showing common trends and synergies, to finally suggest promising future venues for research.
PB  - MDPI AG
T2  - Foods
T1  - Modelling Processes and Products in the Cereal Chain
EP  - 18
IS  - 1
SP  - 1
VL  - 10
DO  - 10.3390/foods10010082
ER  - 

@article{
author = "Carvalho, Otilia and Charalambides, Maria N. and Đekić, Ilija and Athanassiou, Christos and Bakalis, Serafim and Benedito, Jose and Briffaz, Aurelien and Castañé, Cristina and Della Valle, Guy and Nunes de Sousa, Isabel Maria and Erdogdu, Ferruh and Hailu Feyissa, Aberham and Kavallieratos, Nickolas G. and Koulouris, Alexandros and Pojić, Milica and Raymundo, Anabela and Riudavets, Jordi and Sarghini, Fabrizio and Trematerra, Pasquale and Tonda, Alberto",
year = "2021",
abstract = "In recent years, modelling techniques have become more frequently adopted in the field of food processing, especially for cereal-based products, which are among the most consumed foods in the world. Predictive models and simulations make it possible to explore new approaches and optimize proceedings, potentially helping companies reduce costs and limit carbon emissions. Nevertheless, as the different phases of the food processing chain are highly specialized, advances in modelling are often unknown outside of a single domain, and models rarely take into account more than one step. This paper introduces the first high-level overview of modelling techniques employed in different parts of the cereal supply chain, from farming to storage, from drying to milling, from processing to consumption. This review, issued from a networking project including researchers from over 30 different countries, aims at presenting the current state of the art in each domain, showing common trends and synergies, to finally suggest promising future venues for research.",
publisher = "MDPI AG",
journal = "Foods",
title = "Modelling Processes and Products in the Cereal Chain",
pages = "18-1",
number = "1",
volume = "10",
doi = "10.3390/foods10010082"
}

Carvalho, O., Charalambides, M. N., Đekić, I., Athanassiou, C., Bakalis, S., Benedito, J., Briffaz, A., Castañé, C., Della Valle, G., Nunes de Sousa, I. M., Erdogdu, F., Hailu Feyissa, A., Kavallieratos, N. G., Koulouris, A., Pojić, M., Raymundo, A., Riudavets, J., Sarghini, F., Trematerra, P.,& Tonda, A.. (2021). Modelling Processes and Products in the Cereal Chain. in Foods
MDPI AG., 10(1), 1-18.
https://doi.org/10.3390/foods10010082

Carvalho O, Charalambides MN, Đekić I, Athanassiou C, Bakalis S, Benedito J, Briffaz A, Castañé C, Della Valle G, Nunes de Sousa IM, Erdogdu F, Hailu Feyissa A, Kavallieratos NG, Koulouris A, Pojić M, Raymundo A, Riudavets J, Sarghini F, Trematerra P, Tonda A. Modelling Processes and Products in the Cereal Chain. in Foods. 2021;10(1):1-18.
doi:10.3390/foods10010082 .

Carvalho, Otilia, Charalambides, Maria N., Đekić, Ilija, Athanassiou, Christos, Bakalis, Serafim, Benedito, Jose, Briffaz, Aurelien, Castañé, Cristina, Della Valle, Guy, Nunes de Sousa, Isabel Maria, Erdogdu, Ferruh, Hailu Feyissa, Aberham, Kavallieratos, Nickolas G., Koulouris, Alexandros, Pojić, Milica, Raymundo, Anabela, Riudavets, Jordi, Sarghini, Fabrizio, Trematerra, Pasquale, Tonda, Alberto, "Modelling Processes and Products in the Cereal Chain" in Foods, 10, no. 1 (2021):1-18,
https://doi.org/10.3390/foods10010082 . .

TY  - JOUR
AU  - Djekić, Ilija
AU  - Pojić, Milica
AU  - Tonda, Alberto
AU  - Putnik, Predrag
AU  - Bursać-Kovačević, Danijela
AU  - Rezek-Jambrak, Anet
AU  - Tomašević, Igor
PY  - 2019
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/4919
AB  - This paper gives an overview of scientific challenges that occur when performing life-cycle assessment (LCA) in the food supply chain. In order to evaluate these risks, the Failure Mode and Effect Analysis tool has been used. Challenges related to setting the goal and scope of LCA revealed four hot spots: system boundaries of LCA; used functional units; type and quality of data categories, and main assumptions and limitations of the study. Within the inventory analysis, challenging issues are associated with allocation of material and energy flows and waste streams released to the environment. Impact assessment brings uncertainties in choosing appropriate environmental impacts. Finally, in order to interpret results, a scientifically sound sensitivity analysis should be performed to check how stable calculations and results are. Identified challenges pave the way for improving LCA of food supply chains in order to enable comparison of results.
PB  - MDPI, BASEL
T2  - Foods
T1  - Scientific Challenges in Performing Life-Cycle Assessment in the Food Supply Chain
IS  - 8
VL  - 8
DO  - 10.3390/foods8080301
ER  - 

@article{
author = "Djekić, Ilija and Pojić, Milica and Tonda, Alberto and Putnik, Predrag and Bursać-Kovačević, Danijela and Rezek-Jambrak, Anet and Tomašević, Igor",
year = "2019",
abstract = "This paper gives an overview of scientific challenges that occur when performing life-cycle assessment (LCA) in the food supply chain. In order to evaluate these risks, the Failure Mode and Effect Analysis tool has been used. Challenges related to setting the goal and scope of LCA revealed four hot spots: system boundaries of LCA; used functional units; type and quality of data categories, and main assumptions and limitations of the study. Within the inventory analysis, challenging issues are associated with allocation of material and energy flows and waste streams released to the environment. Impact assessment brings uncertainties in choosing appropriate environmental impacts. Finally, in order to interpret results, a scientifically sound sensitivity analysis should be performed to check how stable calculations and results are. Identified challenges pave the way for improving LCA of food supply chains in order to enable comparison of results.",
publisher = "MDPI, BASEL",
journal = "Foods",
title = "Scientific Challenges in Performing Life-Cycle Assessment in the Food Supply Chain",
number = "8",
volume = "8",
doi = "10.3390/foods8080301"
}

Djekić, I., Pojić, M., Tonda, A., Putnik, P., Bursać-Kovačević, D., Rezek-Jambrak, A.,& Tomašević, I.. (2019). Scientific Challenges in Performing Life-Cycle Assessment in the Food Supply Chain. in Foods
MDPI, BASEL., 8(8).
https://doi.org/10.3390/foods8080301

Djekić I, Pojić M, Tonda A, Putnik P, Bursać-Kovačević D, Rezek-Jambrak A, Tomašević I. Scientific Challenges in Performing Life-Cycle Assessment in the Food Supply Chain. in Foods. 2019;8(8).
doi:10.3390/foods8080301 .

Djekić, Ilija, Pojić, Milica, Tonda, Alberto, Putnik, Predrag, Bursać-Kovačević, Danijela, Rezek-Jambrak, Anet, Tomašević, Igor, "Scientific Challenges in Performing Life-Cycle Assessment in the Food Supply Chain" in Foods, 8, no. 8 (2019),
https://doi.org/10.3390/foods8080301 . .

TY  - JOUR
AU  - Djekić, Ilija
AU  - Mujcinović, Alen
AU  - Nikolić, Aleksandra
AU  - Jambrak, Anet Rezek
AU  - Papademas, Photis
AU  - Feyissa, Aberham Hailu
AU  - Kansou, Kamal
AU  - Thomopoulos, Rallou
AU  - Briesen, Heiko
AU  - Kavallieratos, Nickolas G.
AU  - Athanassiou, Christos G.
AU  - Silva, Cristina L.M.
AU  - Sirbu, Alexandrina
AU  - Moisescu, Alexandru Mihnea
AU  - Tomašević, Igor
AU  - Vrabić-Brodnjak, Urgka
AU  - Charalambides, Maria
AU  - Tonda, Alberto
PY  - 2019
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/4944
AB  - Mathematical modelling plays an important role in food engineering having various mathematical models tailored for different food topics. However, mathematical models are followed by limited information on their application in food companies. This paper aims to discuss the extent and the conditions surrounding the usage of mathematical models in the context of European food and drinks industry. It investigates the knowledge, nature and current use of modelling approaches in relation to the industry main characteristics. A total of 203 food companies from 12 European countries were included in this research. Results reveal that the country where the company operates, and size of the company, are more important predictors on the usage of mathematical models followed by the type of food sector. The more developed countries are positioned at the higher level of knowledge and use of available models. Similar pattern was observed at the micro level showing that small or medium sized companies exhibit lack of knowledge, resources and limiting usage of models.
PB  - Elsevier Sci Ltd, Oxford
T2  - Journal of Food Engineering
T1  - Cross-European initial survey on the use of mathematical models in food industry
EP  - 116
SP  - 109
VL  - 261
DO  - 10.1016/j.jfoodeng.2019.06.007
ER  - 

@article{
author = "Djekić, Ilija and Mujcinović, Alen and Nikolić, Aleksandra and Jambrak, Anet Rezek and Papademas, Photis and Feyissa, Aberham Hailu and Kansou, Kamal and Thomopoulos, Rallou and Briesen, Heiko and Kavallieratos, Nickolas G. and Athanassiou, Christos G. and Silva, Cristina L.M. and Sirbu, Alexandrina and Moisescu, Alexandru Mihnea and Tomašević, Igor and Vrabić-Brodnjak, Urgka and Charalambides, Maria and Tonda, Alberto",
year = "2019",
abstract = "Mathematical modelling plays an important role in food engineering having various mathematical models tailored for different food topics. However, mathematical models are followed by limited information on their application in food companies. This paper aims to discuss the extent and the conditions surrounding the usage of mathematical models in the context of European food and drinks industry. It investigates the knowledge, nature and current use of modelling approaches in relation to the industry main characteristics. A total of 203 food companies from 12 European countries were included in this research. Results reveal that the country where the company operates, and size of the company, are more important predictors on the usage of mathematical models followed by the type of food sector. The more developed countries are positioned at the higher level of knowledge and use of available models. Similar pattern was observed at the micro level showing that small or medium sized companies exhibit lack of knowledge, resources and limiting usage of models.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Journal of Food Engineering",
title = "Cross-European initial survey on the use of mathematical models in food industry",
pages = "116-109",
volume = "261",
doi = "10.1016/j.jfoodeng.2019.06.007"
}

Djekić, I., Mujcinović, A., Nikolić, A., Jambrak, A. R., Papademas, P., Feyissa, A. H., Kansou, K., Thomopoulos, R., Briesen, H., Kavallieratos, N. G., Athanassiou, C. G., Silva, C. L.M., Sirbu, A., Moisescu, A. M., Tomašević, I., Vrabić-Brodnjak, U., Charalambides, M.,& Tonda, A.. (2019). Cross-European initial survey on the use of mathematical models in food industry. in Journal of Food Engineering
Elsevier Sci Ltd, Oxford., 261, 109-116.
https://doi.org/10.1016/j.jfoodeng.2019.06.007

Djekić I, Mujcinović A, Nikolić A, Jambrak AR, Papademas P, Feyissa AH, Kansou K, Thomopoulos R, Briesen H, Kavallieratos NG, Athanassiou CG, Silva CL, Sirbu A, Moisescu AM, Tomašević I, Vrabić-Brodnjak U, Charalambides M, Tonda A. Cross-European initial survey on the use of mathematical models in food industry. in Journal of Food Engineering. 2019;261:109-116.
doi:10.1016/j.jfoodeng.2019.06.007 .

Djekić, Ilija, Mujcinović, Alen, Nikolić, Aleksandra, Jambrak, Anet Rezek, Papademas, Photis, Feyissa, Aberham Hailu, Kansou, Kamal, Thomopoulos, Rallou, Briesen, Heiko, Kavallieratos, Nickolas G., Athanassiou, Christos G., Silva, Cristina L.M., Sirbu, Alexandrina, Moisescu, Alexandru Mihnea, Tomašević, Igor, Vrabić-Brodnjak, Urgka, Charalambides, Maria, Tonda, Alberto, "Cross-European initial survey on the use of mathematical models in food industry" in Journal of Food Engineering, 261 (2019):109-116,
https://doi.org/10.1016/j.jfoodeng.2019.06.007 . .

TY  - JOUR
AU  - Djekić, Ilija
AU  - Sanjuan, Neus
AU  - Clemente, Gabriela
AU  - Jambrak, Anet Rezek
AU  - Djukić-Vuković, Aleksandra
AU  - Vrabić-Brodnjak, Urgka
AU  - Pop, Eugen
AU  - Thomopoulos, Rallou
AU  - Tonda, Alberto
PY  - 2018
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/4742
AB  - Diversity of food systems and their interaction with the environment has become a research topic for many years. Scientists use various models to explain environmental issues of food systems. This paper gives an overview of main streams in analyzing this topic. A literature review was performed by analyzing published scientific papers on environmental impacts in the food chain. The selection criteria were focused on different environmental approaches applied in the food chain and on the perspectives of future research. This review shows that on the one side there are generic environmental models developed by environmental scientists and as such applied on food. On the other side, there are models developed by food scientists in order to analyze food-environmental interactions. The environmental research in food industry can be categorized as product, process or system oriented. This study confirmed that the focus of product based approach is mainly performed through life-cycle assessments. The process based approach focuses on food processes such as heat transfer, cleaning and sanitation and various approaches in food waste management. Environmental systems in the food chain were the least investigated stream analyzing levels of environmental practices in place. Future research perspectives are the emerging challenges related to environmental impacts of novel food processing technologies, innovative food packaging and changes in diets and food consumption in connection with climate and environmental changes.
PB  - Elsevier Sci Ltd, Oxford
T2  - Journal of Cleaner Production
T1  - Review on environmental models in the food chain - Current status and future perspectives
EP  - 1025
SP  - 1012
VL  - 176
DO  - 10.1016/j.jclepro.2017.11.241
ER  - 

@article{
author = "Djekić, Ilija and Sanjuan, Neus and Clemente, Gabriela and Jambrak, Anet Rezek and Djukić-Vuković, Aleksandra and Vrabić-Brodnjak, Urgka and Pop, Eugen and Thomopoulos, Rallou and Tonda, Alberto",
year = "2018",
abstract = "Diversity of food systems and their interaction with the environment has become a research topic for many years. Scientists use various models to explain environmental issues of food systems. This paper gives an overview of main streams in analyzing this topic. A literature review was performed by analyzing published scientific papers on environmental impacts in the food chain. The selection criteria were focused on different environmental approaches applied in the food chain and on the perspectives of future research. This review shows that on the one side there are generic environmental models developed by environmental scientists and as such applied on food. On the other side, there are models developed by food scientists in order to analyze food-environmental interactions. The environmental research in food industry can be categorized as product, process or system oriented. This study confirmed that the focus of product based approach is mainly performed through life-cycle assessments. The process based approach focuses on food processes such as heat transfer, cleaning and sanitation and various approaches in food waste management. Environmental systems in the food chain were the least investigated stream analyzing levels of environmental practices in place. Future research perspectives are the emerging challenges related to environmental impacts of novel food processing technologies, innovative food packaging and changes in diets and food consumption in connection with climate and environmental changes.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Journal of Cleaner Production",
title = "Review on environmental models in the food chain - Current status and future perspectives",
pages = "1025-1012",
volume = "176",
doi = "10.1016/j.jclepro.2017.11.241"
}

Djekić, I., Sanjuan, N., Clemente, G., Jambrak, A. R., Djukić-Vuković, A., Vrabić-Brodnjak, U., Pop, E., Thomopoulos, R.,& Tonda, A.. (2018). Review on environmental models in the food chain - Current status and future perspectives. in Journal of Cleaner Production
Elsevier Sci Ltd, Oxford., 176, 1012-1025.
https://doi.org/10.1016/j.jclepro.2017.11.241

Djekić I, Sanjuan N, Clemente G, Jambrak AR, Djukić-Vuković A, Vrabić-Brodnjak U, Pop E, Thomopoulos R, Tonda A. Review on environmental models in the food chain - Current status and future perspectives. in Journal of Cleaner Production. 2018;176:1012-1025.
doi:10.1016/j.jclepro.2017.11.241 .

Djekić, Ilija, Sanjuan, Neus, Clemente, Gabriela, Jambrak, Anet Rezek, Djukić-Vuković, Aleksandra, Vrabić-Brodnjak, Urgka, Pop, Eugen, Thomopoulos, Rallou, Tonda, Alberto, "Review on environmental models in the food chain - Current status and future perspectives" in Journal of Cleaner Production, 176 (2018):1012-1025,
https://doi.org/10.1016/j.jclepro.2017.11.241 . .