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Cross-European initial survey on the use of mathematical models in food industry

Authors :
Photis Papademas
Kamal Kansou
Alberto Tonda
Aleksandra Nikolić
Nickolas G. Kavallieratos
Ilija Djekic
Rallou Thomopoulos
Igor Tomasevic
Alen Mujčinović
Alexandrina Sirbu
Aberham Hailu Feyissa
Heiko Briesen
Alexandru Mihnea Moisescu
Anet Režek Jambrak
Urška Vrabič Brodnjak
Cristina L. M. Silva
Christos G. Athanassiou
Maria N. Charalambides
Department of Food Safety and Quality Management [Belgrade]
Faculty of Agriculture [Belgrade]
University of Belgrade [Belgrade]-University of Belgrade [Belgrade]
Faculty of Agriculture and Food Sciences [Sarajevo]
UNIVERZITET U SARAJEVU
Faculty of Food Technology & Biotechnology [Zagreb]
University of Zagreb
Department of Agricultural Sciences, Biotechnology and Food Science [Limassol]
Cyprus University of Technology
National Food Institute [Lyngby] (Forside)
Unité de recherche sur les Biopolymères, Interactions Assemblages (BIA)
Institut National de la Recherche Agronomique (INRA)
Ingénierie des Agro-polymères et Technologies Émergentes (UMR IATE)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Graphs for Inferences on Knowledge (GRAPHIK)
Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM)
Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Inria Sophia Antipolis - Méditerranée (CRISAM)
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Chair Process Systems Engineering [Freising]
Technische Universität München [München] (TUM)
Faculty of Crop Science [Athens]
Agricultural University of Athens
Department of Agriculture Crop Production and Rural Environment [Volos]
University of Thessaly [Volos] (UTH)
Escola Superior de Biotecnologia [Porto]
Universidade Católica Portuguesa [Porto]
Constantin Brancoveanu University [Râmnicu Vâlcea]
University Politehnica of Bucharest [Romania] (UPB)
Department of Animal Origin Products Technology [Belgrade]
Faculty of Natural Sciences and Engineering [Ljubljana]
University of Ljubljana
Department of Chemical Engineering [London]
Imperial College London
Génie et Microbiologie des Procédés Alimentaires (GMPA)
Institut National de la Recherche Agronomique (INRA)-AgroParisTech
The authors would like to acknowledge the networking support by COST Action CA15118 (Mathematical and Computer Science Methods for Food Science and Industry - FoodMC) as well the help in conducting the survey provided by Prof. Dr Serafim Bakalis (Nottingham University), Dr. Efstathios Kaliviotis (Cyprus University of Technology), Mirza Uzunović (University of Sarajevo) and Erifili P. Nika (Agricultural University of Athens).
UNIVERSITY OF SARAJEVO - UNIVERZITET U SARAJEVU
Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM)
European Project: 605414,EC:FP7:TPT,FP7-AAT-2013-RTD-1,CAPPADOCIA(2013)
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Inria Sophia Antipolis - Méditerranée (CRISAM)
Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)
Veritati - Repositório Institucional da Universidade Católica Portuguesa
Source :
Journal of Food Engineering, Journal of Food Engineering, Elsevier, 2019, Journal of Food Engineering, 261, pp.109-116. ⟨10.1016/j.jfoodeng.2019.06.007⟩, Journal of Food Engineering, 2019, Journal of Food Engineering, 261, pp.109-116. ⟨10.1016/j.jfoodeng.2019.06.007⟩, Repositório Científico de Acesso Aberto de Portugal, Repositório Científico de Acesso Aberto de Portugal (RCAAP), instacron:RCAAP, Djekic, I, Mujčinović, A, Nikolić, A, Jambrak, A R, Papademas, P, Feyissa, A H, Kansou, K, Thomopoulos, R, Breisen, H, Kavallieratos, N G, Athanassiou, C G, Silva, C L M, Sirbu, A, Moisescu, A M, Tomasevic, I, Brodnjak, U V, Charalambides, M & Tonda, A 2019, ' Cross-European initial survey on the use of mathematical models in food industry ', Journal of Food Engineering, vol. 261, pp. 109-116 . https://doi.org/10.1016/j.jfoodeng.2019.06.007
Publication Year :
2019
Publisher :
Elsevier, 2019.

Abstract

International audience; 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.

Details

Language :
English
ISSN :
18735770 and 02608774
Volume :
261
Database :
OpenAIRE
Journal :
Journal of Food Engineering
Accession number :
edsair.doi.dedup.....2e78276d65747741c43a66d215f029dd