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APPROXIMATING METABOLIC BEHAVIOUR OF E. COLI USING REDUCED EXTREME PATHWAY MATRICES 13th

APPROXIMATING METABOLIC BEHAVIOUR OF E. COLI USING REDUCED E...

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

作者： Mores, Wannes Bhonsale, Satyajeet S. Logist, Filip Van Impe, Jan F. M. BioTeC+ Chemical and Biochemical Process Technology and Control KU Leuven Ghent Belgium

ISBN: (纸本)9789492859297

Multi-scale modelling approaches have shown great promise for bioprocess optimisation, allowing the exploitation of the vast known information on the host cell through metabolic networks. However, the complexity of the metabolic network limits its application potential. Analysis based on Extreme Pathways (EPs) and Elementary Flux Modes (EFMs) is extremely powerful for the reduction of its complexity, but the effect of combinatorial explosion limits the implementation to small networks. In this work, a stochastic generation algorithm is defined, allowing partial enumeration of the EP matrix regardless of network size. However, the loss of information compared to the full matrix is unknown. Analysis using Singular Value Decomposition (SVD) of the EP matrix (Price et al. 2003) aids in investigating the properties of the solution space of the network. This is applied to a case study based on E. coli, where SVD allows calculation of the effective dimensionality and most contributing metabolites within the solution space. Good correspondence to the full EP matrix was found for significantly smaller matrices, indicating that they are valid for characterising the solution space of the network. This would allow EP analysis techniques to be implemented even for genome-scale metabolic networks (GEMs), enabling multi-scale models for bioprocess optimisation. © 2024, EUROSIS-ETI. All rights reserved.

关键词： Singular value decomposition

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I-OPTIMAL EXPERIMENTAL DESIGN IN NON-STANDARD DESIGN REGIONS FOR SOLUBILITY STUDIES IN FOOD-RELATED PRODUCTS 13th

I-OPTIMAL EXPERIMENTAL DESIGN IN NON-STANDARD DESIGN REGIONS...

引用

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

作者： Quilló, Gustavo L. Bhonsale, Satyajeet S. Van Impe, Jan F. M. BioTeC+ Chemical and Biochemical Process Technology and Control KU Leuven Gebroeders de Smetstraat 1 GhentB-9000 Belgium

ISBN: (纸本)9789492859297

Often the cornerstone of crystallization and dissolution kinetics modelling, solubility data is similarly required in food product development. Nevertheless, previously collected datasets might be insufficient for the end application or need to be repopulated in less explored areas of the design space. Optimal experimental design emerges as a judicious and adaptable model-based approach to enhance the quality of supplementing existing datasets, as demonstrated in this work in a case study for the citric acidethanol- water system in a nonstandard design space. In this investigation, priority is given to the I-optimal design over its more commonly employed D-optimal counterpart, emphasizing the paramount importance of predictive accuracy. The study demonstrates a reduction of 63% in relative prediction variance with the incorporation of a mere 9% new experiments, reflecting an impressive I-efficiency of 159%. This approach not only refines modeling outcomes but also underscores the budgetary gains achievable through a strategic and selective expansion of experimental datasets. © 2024, EUROSIS-ETI. All rights reserved.

关键词： Citric acid

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DEVELOPMENT OF A DYNAMIC IN VITRO FOOD DIGESTION SIMULATOR (FooDSIM): A DETERMINISTIC MODEL SYSTEM FOR HUMAN DIGESTION 13th

DEVELOPMENT OF A DYNAMIC IN VITRO FOOD DIGESTION SIMULATOR (...

引用

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

作者： Gaspari, Sotiria Akkermans, Simen Van Impe, Jan F. M. BioTeC+ Chemical and Biochemical Process Technology and Control KU Leuven Gebroeders de Smetstraat 1 GhentB-9000 Belgium

ISBN: (纸本)9789492859297

In vitro digestion model systems serve as invaluable tools for understanding the intricacies of human digestion outside the body. This paper explores the significance of FooDSIM, a dynamic in vitro digestion model system developed for research purposes. The study of in vitro digestion holds paramount importance in advancing human health research. A distinctive feature of FooDSIM is its positioning as a dynamic in vitro digestion model system tailored for academic research. Unlike existing systems primarily owned by companies, FooDSIM is an open-access tool, bridging the gap in accessibility for researchers and educators. The primary aim of FooDSIM is to physicochemically simulate the human gastrointestinal tract as realistically as possible. By focusing on academic research, FooDSIM aims to provide a platform for investigating digestion processes, ultimately enhancing our understanding of how human digestion is directly linked to human health. FooDSIM employs a state-of-the-art, multicompartmental, computer-controlled system. Consisting of four linked bioreactors in series, this innovative approach allows for precise control over various parameters, mimicking the dynamic conditions of the human digestive process. The system's design enables researchers to explore the complexities of digestion and absorption in a controlled and reproducible manner. © 2024, EUROSIS-ETI. All rights reserved.

关键词： Digital elevation model

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SENSITIVITY ANALYSIS OF A CONTINUOUS POWDER MIXING process USING FLOWSHEET MODELING 13th

SENSITIVITY ANALYSIS OF A CONTINUOUS POWDER MIXING PROCESS U...

引用

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

作者： Carrasquer, Pau Lapiedra Bhonsale, Satyajeet Sheetal Van Impe, Jan F. M. KU Leuven BioTeC+ Chemical and Biochemical Process Technology and Control Gebroeders de Smetstraat 1 GhentB-9000 Belgium

ISBN: (纸本)9789492859297

Flowsheet modeling is a powerful digital tool for analyzing industrial processes. However, some models require a significant number of experiments to fit their parameters, so, it is important to understand what model parameters have a bigger impact on the final output. In this work, global sensitivity analysis (GSA) was performed based on the flowsheet model of a continuous direct compression (CDC) line to assess the impact of the parameters on the final tablet concentration during a dynamic step change. A polynomial chaos expansion (PCE) approach was used to compute the sensitivity indices and reduce the computational cost with respect to more traditional GSA methods. © 2024, EUROSIS-ETI. All rights reserved.

关键词： Sensitivity analysis

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A COMBINED EXPERIMENTAL AND COMPUTATIONAL APPROACH TO DETECT SHEEP, GOAT AND COW MILK ADULTERATION USING CRYOSCOPY 13th

A COMBINED EXPERIMENTAL AND COMPUTATIONAL APPROACH TO DETECT...

引用

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

作者： Akkermans, Simen Pavlaki, Sofia Van Impe, Jan F.M. Tsakali, Efstathia BioTeC+ Chemical and Biochemical Process Technology and Control KU Leuven Ghent Belgium Department of Food Science and Technology University of West Attica Greece

ISBN: (纸本)9789492859297

This paper presents an investigation into the detection of milk adulteration involving sheep, goat, and cow milk using a combined experimental and computational approach centered on cryoscopy. Adulteration, a critical issue with economic and public health implications, was studied in two scenarios: (i) water addition and (ii) addition of milk from other species. Cryoscopic measurements were performed on samples with varying adulteration levels, and the data was modeled using linear regression. The model predictions and their uncertainties were analyzed to establish the minimum detectable adulteration level with high confidence. The study reveals that the cryoscopic method, while highly accurate in detecting water addition at levels below 1%, faces challenges in detecting adulteration with milk from other species, particularly when the source is unknown. The paper underscores the significance of understanding the freezing point dynamics and model uncertainties in developing effective detection methods, offering valuable insights for combating milk adulteration and ensuring the integrity of dairy products. © (Publication Year), (Publisher name). All rights reserved.

关键词： Dairy products

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INTERACTION TYPES DETERMINE THE EMERGENT STABILITY IN MICROBIAL COMMUNITIES 13th

INTERACTION TYPES DETERMINE THE EMERGENT STABILITY IN MICROB...

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

作者： Wang, Jian Hashem, Ihab Bhonsale, Satyajeet Sheetal Van Impe, Jan F.M. BioTeC+ Chemical and Biochemical Process Technology and Control KU Leuven/Campus Gent Gebroeders De Smetstraat 1 GentB-9000 Belgium

ISBN: (纸本)9789492859297

Competition is an inevitable process in microbial ecology, and a central question is how communities are shaped in the face of these competitive interactions? Fifty years ago, Robert May showed that strong or complex interactions among microbial species often lead to instability, making species co-existence unstable to even slight perturbations. In this study, we refine and, to some extent, challenge this theory by explicitly considering the toxin secretion of individual microbes under various interaction scenarios. We found that a Self-inhibitory scenario can promote community stability, whereas an Amensalism scenario leads to instability. Additionally, we identify thresholds for the above two interaction scenarios, where increased interaction strength can no longer contribute to further stabilization/destabilization of communities. In contrast, a Rock-Paper-Scissors (RPS) scenario maintains a stable equilibrium regardless of varying interaction strength. Overall, our findings reveal that the stability of microbial communities is not influenced solely by the complexity of interactions but significantly by their natural types. © 2024, EUROSIS-ETI. All rights reserved.

关键词： Anthropogenic

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Interactions between Bacillus subtilis and Escherichia coli in the Presence of Ampicillin 13th

Interactions between Bacillus subtilis and Escherichia coli ...

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

作者： Akkermans, Simen Wortel, Meike T. Claus, Ruben Brul, Stanley Van Impe, Jan F.M. BioTeC+ Chemical and Biochemical Process Technology and Control KU Leuven Ghent Belgium MBMFS Swammerdam Institute for Life Sciences UvA Amsterdam Netherlands

ISBN: (纸本)9789492859297

This research investigates the contrasting antibiotic responses of Bacillus subtilis and Escherichia coli in mono- and cocultures. While B. subtilis manifests as resistant and E. coli as susceptible in monocultures, their behavior changes in cocultures due to cooperator-cheater dynamics. E. coli benefits from the ampicillin degradation by B. subtilis, consuming shared nutrients and inhibiting B. subtilis growth. Mathematical models were developed to capture these dynamics, demonstrating that the observed change in ampicillin resistance is a result of interaction dynamics, not altered bacterial behavior. This study underscores the importance of considering multi-species systems when studying antibiotic resistance. © 2024, EUROSIS-ETI. All rights reserved.

关键词： Escherichia coli

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A TUTORIAL ON INTERPRETING GC-MS DATA IN FOODS 13th

A TUTORIAL ON INTERPRETING GC-MS DATA IN FOODS

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

作者： Luo, Huabin Akkermans, Simen Bhonsale, Satyajeet Swennen, Dominique Van Impe, Jan F. M. KU Leuven BioTeC+ Chemical amd Biochemical Process Technology and Control GhentB-9000 Belgium Université Paris-Saclay INRAE AgroParisTech UMR SayFood Palaiseau91120 France

ISBN: (纸本)9789492859297

The importance of flavor in foods cannot be overstated, as it plays a crucial role in consumer preferences and choices. Gas Chromatography-Mass Spectrometry (GC-MS) has emerged as a vital tool in food flavor characterization. This analytical technique allows for the separation, identification, and quantification of volatile compounds present in food. However, the data generated is quite complex, and simply listing volatile compounds in tables or using heatmaps or Principal Component Analysis (PCA) cannot fully demystify GC-MS data. In this study, a framework including PCA, Redundancy Analysis (RDA), and Partial Least Squares (PLS) modeling techniques was proposed for interpreting GC-MS data. To better clarify these techniques, a published dataset was used as a case study. PCA and RDA are both techniques used for dimensionality reduction, but they have different advantages based on their characteristics. PCA is better suited for exploratory analysis where the goal is to reduce dimensionality and identify patterns in the data without the influence of external variables. RDA is more suitable when the objective is to understand how response variables (like GC-MS data) are influenced by known explanatory variables (like factors). Different from PCA and RDA, VIP scores in PLS models focus on identifying key predictive variables in a wide range of modeling scenarios. Overall, this tutorial provides knowledge tools for the interpretation of GC-MS data, which can help uncover hidden patterns, understand and quantify the effect of factors on flavor profiles, and identify the key flavor compounds. © 2024, EUROSIS-ETI. All rights reserved.

关键词： Food ingredients

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EFFECT OF THE METHANOL CONCENTRATION ON THE PRODUCTION RATE OF THAUMATIN AND CONSUMPTION RATE OF METHANOL BY PICHIA PASTORIS 13th

EFFECT OF THE METHANOL CONCENTRATION ON THE PRODUCTION RATE ...

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

作者： Parsekar, Nivedita Akkermans, Simen Kozak, Dmytro Van Impe, Jan F. M. BioTeC+ Chemical and Biochemical Process Technology and Control KU Leuven Ghent 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

Pichia pastoris, has long been established as an excellent tool for heterologous protein production induced by feeding methanol as a sole carbon source. However, it is important to control the levels of methanol as high levels of methanol are known to inhibit heterologous protein production. This study explores the effect of methanol concentrations on the rates of methanol consumption and heterologous protein production by Pichia pastoris. Three different methanol induction volumes were tested in shake flask experiments. The results indicate that the methanol concentration does not affect the number of viable cells. However, an increase in the methanol concentration was found to inhibit the thaumatin production rate in agreement with previous research. This inhibition could be described by a simple linear relationship. Moreover, it was found that the methanol consumption rate increases with the methanol concentration until it reaches a plateau as described by a sigmoidal model. These models are valuable tools for the optimization of methanol-feeding strategies for the production of thaumatin or similar recombinant proteins by P. pastoris. © 2024, EUROSIS-ETI. All rights reserved.

关键词： consumption rate Methanol microbial stress Pichia pastoris production rate recombinant protein thaumatin

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Climate Change impacts Dairy 13th

Climate Change impacts Dairy

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

作者： Katsini, Lydia Bhonsale, Satyajeet S. Roufou, Styliani Griffin, Sholeem Valdramidis, Vasilis Akkermans, Simen Polanska, Monika Van Impe, Jan F. M. KU Leuven Department of Chemical Engineering BioTeC+ Chemical and Biochemical Process Technology and Control Gebroeders De Smetstraat Ghent9000 Belgium University of Malta Department of Food Sciences and Nutrition MSD 2080 Malta National and Kapodistrian University of Athens Department of Chemistry Athens157 71 Greece

ISBN: (纸本)9789492859297

The dairy sector both contributes and is affected by climate change. This paper focuses beyond milk volume by quantifying the effect of climate change also on milk fat, protein, and safety indicators like somatic cell counts and total bacterial counts. By developing impact models and initializing them with projections from climate models, the milk attributes are assessed under climate change scenarios. Based on the results for Malta, milk volume, fat, and protein will decrease whereas somatic cell counts and total bacterial counts will increase due to climate change. Overall, this work contributes to evidence-based policy making towards the transition of the dairy sector. © 2024, EUROSIS-ETI. All rights reserved.

关键词： climate change dairy sector impact modelling

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