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EFFECT OF FAT PRESENCE ON RADIO FREQUENCY INACTIVATION AND DNA DAMAGE OF LISTERIA MONOCYTOGENES AND SALMONELLA TYPHIMURIUM IN MEAT MODEL SYSTEMS 13th

EFFECT OF FAT PRESENCE ON RADIO FREQUENCY INACTIVATION AND D...

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13th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2024

作者： Espitia, Julian Verheyen, Davy Mehrotra, Shubhangi Kozak, Dmytro S. Van Impe, Jan F. M. KU Leuven BioTeC+ Chemical and Biochemical Process Technology and Control Gebroeders de Smetstraat 1 GhentB-9000 Belgium Physico-Technological Institute of Metals and Alloys of the National Academy of Sciences of Ukraine 34/1 Acad. Vernadskogo Boul Kiev03142 Ukraine

ISBN: (纸本)9789492859297

Radio Frequency (RF) heating has been used widely in the food industry for the last decades. However, there is limited knowledge about RF inactivation mechanisms in the literature. The present study investigates the RF inactivation of Listeria. monocytogenes and Salmonella Typhimurium in liquid and emulsion meat-based model systems to assess the effect of fat presence on bacterial inactivation, analyzing DNA damage as a possible inactivation mechanism. L. monocytogenes was inactivated and there was no influence of fat presence on heat resistance. On the contrary, S. Typhimurium has shown an increased heat resistance when there was fat present in the matrix. Cells of S. Typhimurium were sublethally injured since the beginning of the treatments and TICC values were higher in the presence of fat, which could mean that cells were only injured and not completely inactivated. This was not the case for L. monocytogenes. There was no DNA damage present in any microorganism for both model systems, which suggests that RF inactivates microorganisms through other mechanisms, regardless of the presence of fat. © 2024, EUROSIS-ETI. All rights reserved.

关键词： Listeria

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MODELING THE ANTIBACTERIAL EFFECT OF COPPER OXIDE NANOPARTICLES 13th

MODELING THE ANTIBACTERIAL EFFECT OF COPPER OXIDE NANOPARTIC...

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13th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2024

作者： Aygün, Büşra Erol Drago, Tomás Guillermo Cerda Akkermans, Simen Kozak, Dmytro Van Impe, Jan F.M. KU Leuven BioTeC+ Chemical and Biochemical Process Technology and Control Gebroeders de Smetstraat 1 GhentB-9000 Belgium Physico-Technological Institute of Metals and Alloys of the National Academy of Sciences of Ukraine 34/1 Acad. Vernadskogo Boul Kiev03142 Ukraine

ISBN: (纸本)9789492859297

Metal nanoparticles were demonstrated to be favorable antibacterial agents to overcome antibacterial resistance in recent studies. Copper oxide possess various benefits, especially with respect to photocatalytic activities. This research investigates the antibacterial properties of copper oxide nanoparticles against Escherichia coli. Experimental analyses confirm the effectiveness of the synthesized copper oxide, and the study proposes a mathematical model to predict the inactivation behavior based on nanoparticle concentration. This mathematical model serves as a valuable tool for understanding the relationship between nanoparticle concentration and antibacterial efficacy, providing insights for the development of antimicrobial strategies. The integration of experimental results and mathematical modeling enhances our understanding of the potential applications. © 2024, EUROSIS-ETI. All rights reserved.

关键词： Metal nanoparticles microbial inactivation modeling photocatalytic activity

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MODELLING MICROBIAL INACTIVATION BY RADIO FREQUENCY HEATING: HANDLING VARIATION IN processING TEMPERATURES 13th

MODELLING MICROBIAL INACTIVATION BY RADIO FREQUENCY HEATING:...

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13th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2024

作者： Verheyen, Davy Tonti, Maria Akkermans, Simen Kozak, Dmytro Skåra, Torstein Van Impe, Jan F. M. KU Leuven BioTeC+ Chemical and Biochemical Process Technology and Control Gebroeders de Smetstraat 1 GhentB-9000 Belgium Physico-Technological Institute of Metals and Alloys of the National Academy of Sciences of Ukraine 34/1 Acad. Vernadskogo Boul Kiev03142 Ukraine Nofima P.O. Box 8034 Stavanger4068 Norway

ISBN: (纸本)9789492859297

Modelling microbial inactivation during radio frequency (RF) heating of food products has been proven challenging due to the significant variability in temperature profiles among RF processing runs. A specifically-tailored approach to take into account temperature profiles for the temperature-dependent inactivation is necessary. The current study assesses different mathematical modelling approaches for their suitability to handle this temperature variation, using the inactivation of Salmonella Typhimurium in a liquid dairy system as a case study. Assessment was conducted based mainly on the Akaike Information Criterion. For the approach that utilises an average temperature profile over all treatments, a log-linear inactivation model (applied only to the log linear part of the data) was the most parsimonious. For the approach that takes all temperature profiles into account separately, the log linear model with constant tail was the most parsimonious. Finally, when comparing the average temperature and multiple temperature approach, the former resulted in lower uncertainty on estimated model parameters, while the latter resulted in the most parsimonious models. © 2024, EUROSIS-ETI. All rights reserved.

关键词： Radio waves

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Studying the defensive role of monoculture and polyculture gut microbiota against Salmonella enterica : An in vitro case study

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Food Microbiology 2025年 132卷

作者： Sotiria Gaspari Simen Akkermans Ina Buysse Jan F.M. Van Impe BioTeC+ Chemical and Biochemical Process Technology and Control KU Leuven Gent Belgium

Salmonellosis is the second most reported gastrointestinal infection in Europe and a leading cause of foodborne outbreaks. Interactions between individual bacterial species and Salmonella enterica have been extensively studied under in vitro conditions. However, the role of diverse gut microbial communities in a more intestine-like environment remains underexplored. Therefore, this study aimed to examine how both monoculture and polyculture gut microbiota communities interact with one of the main foodborne pathogens, S. enterica, within an in vitro system designed to simulate the human gastrointestinal environment. Species from four representative gut bacterial genera were tested in mono-, co- and polycultures, i.e., Bacteroides , Bifidobacterium , Escherichia , and Lactiplantibacillus . The results revealed that Escherichia coli had a strong inhibitory effect on Salmonella growth within all microbial communities. Moreover, Bifidobacteria protected Salmonella , helping it resist inhibitory influences within the community. Furthermore, higher community complexity correlated with a greater reduction in the pathogen's cell density. These findings emphasize the importance of assessing gut microbial complexity and its interactions with S. enterica in a physicochemically representative in vitro environment, as understanding these dynamics is crucial for improving food microbiology and safety, particularly in mitigating foodborne infections and enhancing the effectiveness of food safety.

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Teaching Sustainable Food Systems Engineering in the times of a Pandemic

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IFAC-PapersOnLine 2022年第7期55卷 709-714页

作者： Monika E. Polańska Simen Akkermans Satyajeet Bhonsale Enda Cummins Vasilis Valdramidis Jan F.M. Van Impe BioTeC+ Chemical & Biochemical Process Technology & Control KU Leuven/Campus Gent Belgium School of Food Science and Environmental Health University College Dublin Dublin 6 Ireland Department of Food Sciences and Nutrition Faculty of Health Sciences University of Malta 2080 Msida Malta

Sustainable food systems embrace a range of aspects such as security of the supply of food, health, safety, affordability, quality, a strong food industry in terms of jobs and growth, and environmental sustainability in terms of issues such as climate change, biodiversity, water and soil quality. In recent years, quantitative modelling and engineering tools are being developed to better cope with these challenges at the level of all stakeholders involved, including industry, government and regulatory agencies. For example, Life Cycle Assessment (LCA) and related concepts (such as carbon or water footprints) are being exploited within a multi-objective food chain optimization framework. A well-balanced pan-European MSc programme “Sustainable Food Systems Engineering, technology and Business” (FOOD4S ‘ food force ’) 2020-2026 (2029), with a specific integrated and international outlook, fills an increasing need in the transfer of knowledge, experience and standards to developing countries in particular, while contributing to the necessary transformation towards social, environmental, and economic sustainability in food systems. The purpose of this paper is to address the nature of the challenges facing agriculture and food systems, to provide knowledge about the threats and to indicate possibilities of knowledge transfer by education and research.

关键词： sustainable food systems food engineering food processing modelling control in agriculture biosystems life cycle assessment risk assessment teaching curricula development higher education

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Trade-off-based multi-objective optimisation of a simultaneous saccharification and fermentation process ⁎

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IFAC-PapersOnLine 2020年第2期53卷 16884-16889页

作者： Viviane De Buck Mihaela Sbarciog Jan Van Impe BioTeC+ Chemical and Biochemical Process Technology and Control Department of Chemical Engineering KU Leuven Belgium

The demand for sustainable replacements for fossil-based products is steadily increasing, especially now that the effects of climate change are becoming more prominent. Lignocellulose, which is a sustainable and abundant carbon source, is dubbed to be the perfect replacement. Lignocellulose consists of lignin, hemicellulose, and cellulose. During the Simultaneous Saccharification and Fermentation (SSF) of cellulose, the hydrolysis and fermentation of the produced C6-sugars occurs simultaneously in the same vessel. The SSF process has mainly been developed to circumvent inhibitory effect and increase the overall product yield. Although the concept of the SSF process is promising, the applications are still limited. This contribution presents the trade-off-based multi-objective optimisation of an SSF process. Multi-objective optimisation allows for optimising (bio-)process with respect to multiple, and often conflicting, objectives. These optimisation problems do not render a unique optimal solution but instead an infinite set of so-called Pareto-optimal solutions, the Pareto front. From the Pareto front, the decision maker should select one working point. To aid decision makers in this selection process, the application of a novel genetic optimisation algorithm is presented in this contribution, i.e., tDOM, that is capable of filtering solutions using t-domination. This results in a less dense Pareto front that only contains solutions that are of interest for the decision maker. Additionally, by extending the t-domination concept to two subsequent solution populations, a novel problem-relevant stopping criterion is developed, resulting in a significant gain in the required computational time. A comparison to the well known NSGA-II is provided.

关键词： process modelling Multi-objective optimisation Simultaneous saccharification fermentation Bioprocesses Trade-off t-domination

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A novel high speed multi-objective evolutionary optimisation algorithm ⁎

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IFAC-PapersOnLine 2020年第2期53卷 6756-6761页

作者： Viviane De Buck Ihab Hashem Jan Van Impe BioTeC+ Chemical and Biochemical Process Technology and Control Department of Chemical Engineering KU Leuven Belgium

Multi-objective optimisation problems (MOOPs) consider multiple objectives simultaneously. Solving these problems does not render one unique solution but instead a set of equally optimal solutions, i.e., the Pareto front. The goal of solving a MOOP is to accurately and efficiently approximate the Pareto front. The use of evolutionary optimisation algorithms is widespread in this discipline. During each iteration, parent solutions are combined and mutated to create new offspring solutions. Both populations are subsequently combined and sorted. Only the N fittest solutions of the combined set are selected as the parent solutions for the subsequent iteration. The fitness of a solution is defined by its convergence to the Pareto front and its contribution to the overall solution diversity. Widely used evolutionary algorithms, like NSGA-II (Deb et al., 2002), use non-dominated sorting to assess the convergence of solutions and the concept of crowding distance to ensure a high solution diversity. Both concepts, however, require that all N solutions of the population are compared with all other ( N — 1) solutions for both aspects, and this for all M objectives. This results in a computational complexity of O(MN 2 ). In this contribution, a novel evolutionary algorithm is presented, boasting a significantly lower computational complexity of O(N log (N)). This is achieved by subdividing the feasible space into angular sections. Solutions are scored based on their distance from the current Utopia point and the overall crowdedness of their respective section. Sorting the population based on the attributed scores allows the selection of the N fittest solutions, without having to mutually compare them.

关键词： Evolutionary optimisation algorithms Algorithm development

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Data driven modelling of the beer aging Formation and release of beer staling aldehydes 11

Data driven modelling of the beer aging Formation and releas...

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11th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2020

作者： Munoz, Carlos Andre Trueba, Paula Bustillo Jaskula-Goiris, Barbara De Cooman, Luc Van Impe, Jan KU Leuven Department of Chemical Engineering BioTeC+ Chemical and Biochemical Process Technology and Control Gebroeders De Smetstraat Ghent9000 Belgium Gebroeders De Smetstraat Ghent9000 Belgium

ISBN: (纸本)9789492859136

The avour of beer and its stability in time is inuenced by the presence of staling aldehydes. Understanding the conditions that inuence the formation and release of aldehydes during the beer production and storage is crucial to determine the conditions that can favour lower concentrations of aldehydes in the final beer, resulting in better avour stability. Modelling this phenomenon based on process conditions and properties of the product at different stages (i.e., malting and brewing) offers a tool for quality prediction and opens the possibility for process optimization. In this contribution, experimental data obtained from the beer production and aging is used to build regression models that capture those correlations relevant to describe the beer avour stability. The main focus is on investigating and modelling the relations between 3 stages in the beer production, i.e., processed malt (M), fresh beer (FB) and 90 days aged beer (AB). The data driven regression models presented in this contribution are based on Partial Least Squares (PLS) for which feature selection was applied. These models were validated for the estimation of the total aldehydes (TA) in malt, the classification of fresh and aged beer as well as the prediction of the Overall Aging Score (OAS), and the estimation of the concentration of different aldehydes markers in the aged beer. © 2020 EUROSIS. All Rights Reserved.

关键词： Beer

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Modelling and Simulation of Co-digestion in Anaerobic Digestion Systems

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IFAC-PapersOnLine 2022年第20期55卷 403-408页

作者： Mihaela Sbarciog Satyajeet Bhonsale Viviane De Buck Simen Akkermans Monika Polanska Jan Van Impe Chemical & Biochemical Process Technology & Control (BioTeC+) KU Leuven Gebroeders De Smetstraat 1 B-9000 Gent Belgium 3BIO-BioControl Université Libre de Bruxelles CP 165/61 50 Av. F.-D. Roosevelt B-1050 Brussels Belgium

Anaerobic digestion is a widely employed technique that converts waste into biogas, which can be employed as renewable energy. To improve its efficiency, but also to treat recalcitrant waste, mixes involving several types of feedstock with different biodegradability rates are fed to the process. Finding the proper mix is difficult and involves extensive, long-lasting experimental work. This paper presents an approach which allows determining the mix with desired properties based on biochemical Methane Potential (BMP) tests, chemical composition of the feedstocks and optimization. This procedure is illustrated based on experimental data gathered from BMP tests on leaves of linden, oak and maple, and meadow. Subsequently, a simple model is used to simulate the continuous operation of the process converting the proposed mixes into methane.

关键词： Anaerobic digestion co-digestion biochemical Methane Potential (BMP) modelling optimization simulation

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Study on the impact of led light on pseudomonas fluorescens and staphylococcus epidermidis biofilms 11

Study on the impact of led light on pseudomonas fluorescens ...

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11th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2020

作者： Angarano, Valeria Smet, Cindy Akkermans, Simen Watt, Charlotte Chieffi, Andre Van Impe, Jan F.M. BioTeC+ Chemical and Biochemical Process Technology and Control Department of Chemical Engineering KU Leuven Gebroeders De Smetstraat 1 GhentB-9000 Belgium Procter&Gamble Newcastle United Kingdom

ISBN: (纸本)9789492859136

Biofilms cause health issues and are responsible for several problems within the food industry, households and clinical environments. An alternative approach against biofilms, not involving chemicals, is based on light. In this work violet (400 nm), blue (420 nm), green (570 nm), yellow (584 nm) and red (698 nm) light was used against Pseudomonas fluorescens and Staphylococcus epidermidis biofilms. Biofilms grown on a polystyrene surface were irradiated by Light-Emitting Diode (LED) arrays (from 30 min to 4h). Different irradiances were investigated (2.5, 25, 50 and 100% of the maximum irradiance). Plate counting was performed to quantify the surviving cells. The kinetic parameter estimation was performed using the Geeraerd et al. (2000) model. Outcomes demonstrated that violet light could successfully inactivate P. fluorescens and S. epidermidis (up to 6.80 and 3.69 log10 reductions, respectively), while blue light was effective only against P. fluorescens (when 100% of maximum irradiance is used). © 2020 EUROSIS. All Rights Reserved.

关键词： Biofilms

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