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Development of vacuum-packed meat-based model systems for the evaluation of the food intrinsic complexity on Listeria monocytogenes growth at refrigeration and abuse temperatures 9

Development of vacuum-packed meat-based model systems for th...

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9th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2016

作者： Baka, Maria Noriega, Estefanía Van Langendonck, Kristof Vanimpe, Jan F.M. KU Leuven Department of Chemical Engineering BioTeC - Chemical and Biochemical Process Technology and Control OPTEC - Optimization in Engineering Center-of-Excellence CPMF2 - Flemish Cluster Predictive Microbiology in Foods Gebroeders De Smetstraat 1 GentB-9000 Belgium

ISBN: (纸本)9789077381922

Food intrinsic complexity ((micro)structure, composition and physicochemical characteristics) influences microbial growth. In this study, food (model) systems with variable (micro)structural complexity, compositional and physicochemical characteristics were developed. The model systems targeted the following (micro)structures: liquids, aqueous gels, emulsions, gelled emulsions, and canned meat, which is a food product, classified as a gelled emulsion. The growth dynamics of Listeria monocytogenes were studied at 4, 8 and 12°C in/on the developed model systems, which covered the whole spectrum of food (micro)structure. The composition and physicochemical characteristics of canned meat and gelled emulsions targeted Frankfurter sausages. Results indicated that L. monocytogenes grows faster on canned meat, indicating that microbial growth is possibly underestimated in/on model systems than real foods.

关键词： Meats

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Role of differential plating-based methods in the detection of sublethal injury induced to Listeria monocytogenes by natural plant extracts 9

Role of differential plating-based methods in the detection ...

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9th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2016

作者： Verheyen, Davy Baka, Maria Noriega, Estefanía Vanimpe, Jan F.M. KU Leuven Department of Chemical Engineering BioTeC - Chemical and Biochemical Process Technology and Control OPTEC - Optimization in Engineering Center-of-Excellence CPMF2 - Flemish Cluster Predictive Microbiology in Foods Gebroeders De Smetstraat 1 GentB-9000 Belgium

ISBN: (纸本)9789077381922

Recently, food researchers are investigating natural plant extracts as milder food preservation technologies. Milder treatments might cause sublethal injury (SI), which is a major food safety concern. This study demonstrates that both grape seed extract and garlic extract are suitable to inactivate Listeria monocytogenes. Both extracts cause a significant amount of SI, which increases at more severe treatments. Finally, experimental results indicated that the thin agar layer (TAL) method is a promising alternative to the traditional method, which uses the difference between plate counts on general and selective media to determine SI. The TAL method is unable to determine the total viable population of healthy and injured micro-organisms as adequately as the general medium in the traditional method, but can be used to determine SI in real food products.

关键词： Food preservation

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Parameter estimations in predictive microbiology: How to build statistically sound secondary models 9

Parameter estimations in predictive microbiology: How to bui...

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9th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2016

作者： Akkermans, Simen Logist, Filip Vanimpe, Jan F.M. KU Leuven Department of Chemical Engineering BioTeC - Chemical and Biochemical Process Technology and Control OPTEC - Optimization in Engineering Center-of-Excellence CPMF2 - Flemish Cluster Predictive Microbiology in Foods Gebroeders De Smetstraat 1 GentB-9000 Belgium

ISBN: (纸本)9789077381922

When building models to describe the effect of environmental conditions on the microbial growth rate, parameter estimations can be performed either with a onestep method, i.e., directly on the cell density measurements, or in a two-step method, i.e., via the estimated growth rates. The two-step method is often preferred due to its simplicity. The current research demonstrates that the two-step method is, however, only valid if the correct data transformation is applied and a strict experimental protocol is followed for all experiments. Moreover, the one-step method leads to a better approximation of the confidence intervals on the estimated parameters. Therefore, the one-step method is preferred and the two-step method should be avoided.

关键词： Parameter estimation

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Parametric uncertainty propagation for robust dynamic optimization of biological networks

Parametric uncertainty propagation for robust dynamic optimi...

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American control Conference

作者： Philippe Nimmegeers Dries Telen Mickey Beetens Filip Logist Jan Van Impe KU Leuven BioTeC+ - Chemical and Biochemical Process Technology and Control & OPTEC - Center of Excellence: Optimization in Engineering Department of Chemical Engineering Ghent Belgium

ISBN: (纸本)9781467386838

An important trend in biochemical industry is the search for a more sustainable operation. This requires an improved design and operation of processes with respect to economic, environmental and safety aspects. For an accurate macroscopic process control, multi-scale models based on microscopic systems biology insights are increasingly used. However, model uncertainty as well as external disturbances are inevitably present. Hence, there is a need for approaches which can guarantee process safety despite this presence of uncertainty in the model parameters. Therefore, techniques for the propagation of the parametric uncertainties to the states are vital for a robust process control. In this work, the potential of the polynomial chaos expansion approach is investigated for optimal control of a four step linear pathway with Michaelis-Menten kinetics by manipulating the enzyme expression rates.

关键词： Uncertainty Mathematical model Chaos Robustness Optimization Biological system modeling Linear programming Biological system modeling chaos linear programming Uncertainty Propagation Mathematical Model model parameters Uncertainty Robustness design improvement Parametric external disturbance model uncertainty

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Macromol. Rapid Commun. 13/2018

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Macromolecular Rapid Communications 2018年第13期39卷

作者： Qin Dai He Zhao Zhuangjun Fan Wentao Zhao Guangwei Wang Jimei Zhang Rong Hou Penghui Du Hongbin Cao Beijing Engineering Research Center of Process Pollution Control Division of Environment Technology and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China Key Laboratory of Superlight Materials and Surface Technology Ministry of Education College of Material Science and Chemical Engineering Harbin Engineering University Harbin 150001 China Department of Chemistry School of Science Tianjin University Tianjin 300072 China School of Chemistry and Biological Engineering Changsha University of Science and Technology Changsha 410114 China

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"what We Breathe Impacts Our Health: Improving Understanding of the Link between Air Pollution and Health"

"what We Breathe Impacts Our Health: Improving Understanding...

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作者： West, J. Jason Cohen, Aaron Dentener, Frank Brunekreef, Bert Zhu, Tong Armstrong, Ben Bell, Michelle L. Brauer, Michael Carmichael, Gregory Costa, Dan L. Dockery, Douglas W. Kleeman, Michael Krzyzanowski, Michal Künzli, Nino Liousse, Catherine Lung, Shih-Chun Candice Martin, Randall V. Pöschl, Ulrich Pope, C. Arden Roberts, James M. Russell, Armistead G. Wiedinmyer, Christine Environmental Sciences and Engineering University of North Carolina at Chapel Hill Chapel HillNC27599 United States Health Effects Institute BostonMA02110 United States European Commission Joint Research Centre Institute for Environment and Sustainability IspraI. 21027 Italy Institute for Risk Assessment Sciences Universiteit Utrecht Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht3584 CJ Netherlands State Key Lab for Environmental Simulation and Pollution Control College of Environmental Science and Engineering Peking University Beijing100871 China Social and Environmental Health Research London School of Hygiene and Tropical Medicine LondonWC1E 7HT United Kingdom School of Forestry and Environmental Studies Yale University New HavenCT06511 United States School of Population and Public Health University of British Columbia VancouverBCV6T 1Z3 Canada Chemical and Biochemical Engineering University of Iowa Iowa CityIA52242 United States Air Climate and Energy Research Program Office of Research and Development Environmental Protection Agency DurhamNC27705 United States Harvard T. H. Chan School of Public Health BostonMA02115 United States Civil and Environmental Engineering University of California at Davis DavisCA95616 United States Environmental Research Group King's College London LondonSE1 9NH United Kingdom Epidemiology and Public Health Swiss Tropical and Public Health Institute Basel Switzerland University of Basel Basel Switzerland Laboratoire d' Aérologie CNRS-Université de Toulouse Toulouse31400 France Research Center for Environmental Changes Academia Sinica Taipei Taiwan Physics and Atmospheric Science Dalhousie University HalifaxNSB3H 4R2 Canada Harvard-Smithsonian Center for Astrophysics CambridgeMA02138 United States Multiphase Chemistry Department Max Planck Institute for Chemistry Mainz55128 Germany Economics Brigham Young University ProvoUT84602 United States Ea

Air pollution contributes to the premature deaths of millions of people each year around the world, and air quality problems are growing in many developing nations. While past policy efforts have succeeded in reducing particulate matter and trace gases in North America and Europe, adverse health effects are found at even these lower levels of air pollution. Future policy actions will benefit from improved understanding of the interactions and health effects of different chemical species and source categories. Achieving this new understanding requires air pollution scientists and engineers to work increasingly closely with health scientists. In particular, research is needed to better understand the chemical and physical properties of complex air pollutant mixtures, and to use new observations provided by satellites, advanced in situ measurement techniques, and distributed micro monitoring networks, coupled with models, to better characterize air pollution exposure for epidemiological and toxicological research, and to better quantify the effects of specific source sectors and mitigation strategies. © 2016 American chemical Society.

关键词： Health

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Assessment of Model-Plant Mismatch by the Nominal Sensitivity Function for Unconstrained MPC

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IFAC-PapersOnLine 2015年第8期48卷 753-758页

作者： Viviane Rodrigues Botelho Jorge Otávio Trierweiler Marcelo Farenzena Ricardo Duraiski GIMSCOP - Group of Intensification Modeling Simulation Control and Optimization of Process Federal University of Rio Grande do Sul Chemical Engineering Department R. Eng. Luis Englert s/n. Campus Central. CEP: 90040-040 - Porto Alegre - RS - BRAZIL Trisolutions Engineering Solutions LTD A. R. General Bento Martins 24. CEP: 90010-080 - Porto Alegre - RS - BRAZIL

Model Predictive control (MPC) is a class of control systems which use a dynamic process model to predict the best future control actions based on past information. Thus, a representative process model is a key factor for its correct performance. Therefore, the investigation of model-plant-mismatch effect is very important issue for MPC performance assessment, monitoring, and diagnosis. This paper presents a method for model quality evaluation based on the investigation of closed-loop data and the nominal complementary sensitivity function. The proposed approach ensures that the MPC tuning is taken into account in the evaluation of the model quality. A SISO case study is analyzed and the results show the effectiveness of the method.

关键词： Model Predictive control Model Plant Mismatch Sensitivity Function control Performance Assessment

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An individual-based model for anaerobic dynamics of Escherichia coli colonies 8

An individual-based model for anaerobic dynamics of Escheric...

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8th International Conference on Simulation and Modelling in the Food and Bio-Industry 2014, FOODSIM 2014

作者： Tack, Ignace Logist, Filip Fernández, Estefanía Noriega Van Impe, Jan CPMF - Flemish Cluster Predictive Microbiology in Foods OPTEC - Center of Excellence Optimization in Engineering BioTeC - Chemical and Biochemical Process Technology and Control Department of Chemical Engineering KU Leuven Willem de Croylaan 46 box 2423 B-3001 Leuven Belgium Belgium

ISBN: (纸本)9789077381847

Traditional models in predictive microbiology describe microbial dynamics in homogeneous liquid food systems. However, most food systems have a semi-solid structure, in which microbial cells grow locally as colonies. Due to the high cell density in these colonies, the environment becomes inhomogeneous as a result of nutrient over- consumption and cell product accumulation. Hence, the individual cells exhibit strongly different behavior according to their position in the colony. Consequently, an individual-based modeling approach, considering the cell as the basic modeling unit, is most appropriate to describe colony dynamics in full detail. In this paper, an individual-based model is developed for anaerobic colony behavior of Escherichia coli K-12. From the simulation, characteristic colony dynamics emerge, such as a linear radius increase. These dynamics result from the pH drop and concomitant cellular stress in the colony center due to accumulation of lactic acid.

关键词： Dynamics

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18th European Symposium on Radiopharmacy and Radiopharmaceuticals Salzburg, Austria. 7-10 April 2016

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EJNMMI RADIOPHARMACY AND CHEMISTRY 2016年第1期1卷 1-37页

作者： [Anonymous] Los Alamos National Laboratory Los Alamos USA Oak Ridge National Laboratory Oak Ridge USA Department of Nuclear Medicine Medical University Innsbruck Innsbruck Austria Department of Radiology & Nuclear Medicine Radboud University Medical Center Nijmegen The Netherlands Institute of Molecular and Translational Medicine Faculty of Medicine and Dentistry Palacky University Olomouc Czech Republic Département de Médecine Nucléaire et Radiobiologie Faculté de Médecine et Sciences de la Santé Université de Sherbrooke Sherbrooke Canada Centre d’Imagerie Moléculaire de Sherbrooke (CIMS) CR-CHUS Sherbrooke Canada Division of Molecular Biology/Biocenter Medical University Innsbruck Innsbruck Austria Department of Nuclear Medicine Radboud University Medical Center Nijmegen The Netherlands IENI-CNR Padua Italy DiSCOG-University of Padua Padua Italy IOV Padua Padua Italy IC-CNR Bari Italy IBB-CNR Naples Italy Laboratory of Radiopharmacy KU Leuven Leuven Belgium Micro Flow Chemistry & Process Technology Chemical Engineering and Chemistry Department TU Eindhoven Eindhoven The Netherlands Laboratory for Radiopharmacy University of Leuven Leuven Belgium Department of Nuclear Medicine and Molecular Imaging University of Leuven Leuven Belgium Department of Medicine and Surgery Tecnomed Foundation University of Milano-Bicocca Milan Italy Dipartimento di Biotecnologie Mediche e Medicina Traslazionale Università degli Studi di Milano Milan Italy Department of Radiology & Nuclear Medicine VU University Medical Center Amsterdam The Netherlands Department of Clinical Pharmacology & Pharmacy VU University Medical Center Amsterdam The Netherlands Université de Lorraine Vandoeuvre les Nancy France NancycloTEP Plateforme d’imagerie expérimentale Vandoeuvre les Nancy France CNRS UMR 7565 SRSMC Vandoeuvre les Nancy France CHU de Nancy-Brabois Vandoeuvre les Nancy France Department of Biomedical Imaging and Image-guided Therapy Division of Nuclear Medicine Medical Univers

Table of contents OP03 Selective extraction of medically-related radionuclides from proton-irradiated thorium targets V. Radchenko, J.W. Engle, C. Roy, J. Griswold, M.F. Nortier, E.R. Birnbaum, M. Brugh, S. Mirzadeh, K. D. John, M.E. Fassbender OP04 Comparison of [68Ga]FSC(succ-RGD)3 and [68Ga]NODAGA-RGD for PET imaging of alpha v beta 3 integrin expression Chuangyan Zhai, Gerben M. Franssen, Milos Petrik, Peter Laverman, Clemens Decristoforo OP05 A new NPY-Y1R targeting peptide for breast cancer PET imaging Ait-Mohand Samia, Dumulon-Perreault Veronique, Guerin Brigitte OP06 The influence of multivalency on CCK 2 receptor targeting D. Summer, A. Kroess, C. Rangger, H. Haas, P. Laverman, F. Gerben, E. von Guggenberg, *** OP07 SPECT Imaging of alpha v beta 3 Expression by [99mTc(N)PNP43]- Bifunctional Chimeric RGD Peptide not Cross-Reacting with alpha v beta 5 Cristina Bolzati, Nicola Salvarese, Fiorenzo Refosco, Laura Melendez-Alafort, Debora Carpanese, Antonio Rosato, Michele Saviano, Annarita Del Gatto, Daniela Comegna, Laura Zaccaro OP09 New dienophiles for the inverse-electron-demand Diels-Alder reaction and for pretargeted PET imaging Emilie Billaud, Muneer Ahamed, Frederik Cleeren, Elnaz Shahbazali, Tim Noel, Volker Hessel, Alfons Verbruggen and Guy Bormans OP10 New complexing agent for Al18F-labelling of heat-sensitive biomolecules: Synthesis and preclinical evaluation of Al18F-RESCA1-HAS Cleeren F, Lecina J, Koole M, Verbruggen A and Bormans G OP11 A novel versatile precursor efficient for F-18 radiolabelling via click-chemistry B. Lugatoa, S. Stucchia, E.A. Turollaa, L. Giulianoa, ***, P. Ferraboschib OP12 A general applicable method to quantify unidentified UV impurities in radiopharmaceuticals R.P. Klok, M.P.J. Mooijer, N.H. Hendrikse, A.D. Windhorst OP13 Development of [F-18]Fluoro-C-glycosides to radiolabel peptides Collet C., Petry N., Chretien F., Karcher G., Pellegrini-Moise N., Lamande-Langle S. OP14 A Microfluidic Approach for the 68

关键词： Positron Emission Tomography Single Photon Emission Compute Tomography Standard Uptake Value Positron Emission Tomography Imaging High Pressure Liquid Chromatography

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Genistein Suppresses LPS-Induced Inflammatory Response through Inhibiting NF-κB following AMP Kinase Activation in RAW 264.7 Macrophages

Genistein Suppresses LPS-Induced Inflammatory Response throu...

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作者：纪桂元 Yupei Zhang Qinhe Yang Shaobin Cheng Jing Hao Xihong Zhao Zhuoqin Jiang Guangdong Provincial Institute of Public Health Guangdong Provincial Center for Disease Control and Prevention Department of Nutrition School of Public HealthSun Yat-Sen University Department of Traditional Chinese Medicine Medical College of Jinan University Guangxi Botanical Garden of Medicinal Plant Key Laboratory for Green Chemical Process of Ministry of Education School of Chemical Engineering and Pharmacy Wuhan Institute of Technology

Genlstein,the major Isoflavone in soybean,was recently reported to exert beneficial effects in metabolic disorders and inflammatory *** the;present study,we investigated the effects arid mechanisms of a dietary concentration of genlstein on the inflammatory response In lipopofysaccharide(LPS)-treated RAW 264.7 *** results demonstrated that genistein effectively jnhibited the LPS-induced overproduction of tumor necrosis factor-alpha(TNF-α)and interleukin 6(IL-6),as well as LPS-induced nuclear factor kappa B(NF-κB) *** addition,the data also showed that genlstein prevented LPS-lnduced decrease In adenosine moriophosphate-activated protein kinase(AMPK)*** effects were opvj !ously attenuated by an AMPK *** together,our results suggest that the dietary concentration of genlstein is able to attenuate inflammatory responses via inhibition of NF-κB activation following AMPK stimulation:The data provide direct evidence for the potential application of low concentrations of genlstein in the prevention and treatment of Inflammatory diseases.

关键词： LPS genistein B following AMP Kinase Activation in RAW 264.7 Macrophages Genistein Suppresses LPS-Induced Inflammatory Response through Inhibiting NF RAW

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