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Mathematical Modeling Of Biofilms


Mathematical Modeling Of Biofilms
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Mathematical Modeling Of Biofilms


Mathematical Modeling Of Biofilms
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Author : IWA Task Group on Biofilm Modeling
language : en
Publisher: IWA Publishing
Release Date : 2006-04-30

Mathematical Modeling Of Biofilms written by IWA Task Group on Biofilm Modeling and has been published by IWA Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-30 with Science categories.


Over 90% of bacterial biomass exists in the form of biofilms. The ability of bacteria to attach to surfaces and to form biofilms often is an important competitive advantage for them over bacteria growing in suspension. Some biofilms are "good" in natural and engineered systems; they are responsible for nutrient cycling in nature and are used to purify waters in engineering processes. Other biofilms are "bad" when they cause fouling and infections of humans and plants. Whether we want to promote good biofilms or eliminate bad biofilms, we need to understand how they work and what works to control them. Mathematical Modeling of Biofilms provides guidelines for the selection and use of mathematical models of biofilms. The whole range of existing models - from simple analytical expressions to complex numerical models - is covered. The application of the models for the solution of typical problems is demonstrated, and the performance of the models is tested in comparative studies. With the dramatic evolution of the computational capacity still going on, modeling tools for research and practice will become more and more significant in the next few years. This report provides the foundation to understand the models and to select the most appropriate one for a given use. Mathematical Modeling of Biofilms gives a state-of-the-art overview that is especially valuable for educating students, new biofilm researchers, and design engineers. Through a series of three benchmark problems, the report demonstrates how to use the different models and indicates when simple or highly complex models are most appropriate. This is the first report to give a quantitative comparison of existing biofilm models. The report supports model-based design of biofilm reactors. The report can be used as basis for teaching biofilm-system modeling. The report provides the foundation for researchers seeking to use biofilm modeling or to develop new biofilm models. Scientific and Technical Report No.18



Advanced Methods And Mathematical Modeling Of Biofilms


Advanced Methods And Mathematical Modeling Of Biofilms
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Author : Mojtaba Aghajani Delavar
language : en
Publisher: Academic Press
Release Date : 2022-05-14

Advanced Methods And Mathematical Modeling Of Biofilms written by Mojtaba Aghajani Delavar and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-14 with Medical categories.


Advanced Mathematical Modelling of Biofilms and its Applications covers the concepts and fundamentals of biofilms, including sections on numerical discrete and numerical continuum models and different biofilms methods, e.g., the lattice Boltzmann method (LBM) and cellular automata (CA) and integrated LBM and individual-based model (iBM). Other sections focus on design, problem-solving and state-of-the-art modelling methods. Addressing the needs to upgrade and update information and knowledge for students, researchers and engineers on biofilms in health care, medicine, food, aquaculture and industry, this book also covers areas of uncertainty and future needs for advancing the use of biofilm models. Over the past 25-30 years, there have been rapid advances in various areas of computer technologies, applications and methods (e.g. complex programming and algorithms, lattice Boltzmann method, high resolution visualization and high-performance computation). These new and emerging technologies are providing unprecedented opportunities to develop modeling frameworks of biofilms and their applications. Introduces state-of-the-art methods of biofilm modeling, such as integrated lattice Boltzmann method (LBM) and cellular automata (CA) and integrated LBM and individual-based model (iBM) Provides recent progress in more powerful tools for a deeper understanding of biofilm complexity by implementing state-of-the art biofilm modeling programs Compares advantages and disadvantages of different biofilm models and analyzes some specific problems for model selection Evaluates novel process designs without the cost, time and risk of building a physical prototype of the process to identify the most promising designs for experimental testing



On The Mathematical Modeling Of Biofilms


On The Mathematical Modeling Of Biofilms
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Author : Volker Hösel
language : en
Publisher:
Release Date : 1999

On The Mathematical Modeling Of Biofilms written by Volker Hösel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.




Mathematical Modeling Of Biofilms


Mathematical Modeling Of Biofilms
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Author : Erik Alpkvist
language : en
Publisher:
Release Date : 2006

Mathematical Modeling Of Biofilms written by Erik Alpkvist and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.




Microbial Communication


Microbial Communication
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Author : Sarangam Majumdar
language : en
Publisher: Springer Nature
Release Date : 2020-09-15

Microbial Communication written by Sarangam Majumdar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-15 with Science categories.


This book introduces the concept of bacterial communication systems from a mathematical modeling point of view. It sheds light on the research undertaken in the last three decades, and the mathematical models that have been proposed to understand the underlying mechanism of such systems. These communication systems are related to quorum sensing mechanisms and quorum sensing regulated processes such as biofilm formation, gene expression, bioluminescence, swarming and virulence. The book further describes the phenomenon of noise, and discusses how noise plays a crucial role in gene expression and the quorum sensing circuit operationusing a set of tools like frequency domain analysis, power spectral density, stochastic simulation and the whitening effect. It also explores various aspects of synthetic biology (related to bacterial communication), such as genetic toggle switch, bistable gene regulatory networks, transcriptional repressor systems, pattern formation, synthetic cooperation, predator-prey synthetic systems, dynamical quorum sensing, synchronized quorum of genetic clocks, role of noise in synthetic biology, the Turing test and stochastic Turing test.



Mathematical Modeling Of Biofilm Thickness In A Membrane Aerated Biofilm Reactor


Mathematical Modeling Of Biofilm Thickness In A Membrane Aerated Biofilm Reactor
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Author : Woochul Jung
language : en
Publisher:
Release Date : 2010

Mathematical Modeling Of Biofilm Thickness In A Membrane Aerated Biofilm Reactor written by Woochul Jung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.




Mathematical Modeling In Microbial Ecology


Mathematical Modeling In Microbial Ecology
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Author : A.L. Koch
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Mathematical Modeling In Microbial Ecology written by A.L. Koch and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.


From the Chapman & Hall Microbiology Series this unique resource offers specific experimental and practical applications of mathematical modeling in microbial ecology. The text presents a variety of systems, ranging from subcellular systems to ecosystems, and shows how to test whether the models provide a good representation of the system. The book also encourages further development and application of modeling to burgeoning problems associated with microbial ecology, such as the pollution and destruction of pesticides and herbicides.



An Analytic Synthetic Approach Combining Mathematical Modeling And Experiments Towards An Understanding Of Biofilm Systems


An Analytic Synthetic Approach Combining Mathematical Modeling And Experiments Towards An Understanding Of Biofilm Systems
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Author : Roland Bernhard Möhle
language : en
Publisher:
Release Date : 2008

An Analytic Synthetic Approach Combining Mathematical Modeling And Experiments Towards An Understanding Of Biofilm Systems written by Roland Bernhard Möhle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.




A Mathematical Model Of Biofilm Growth And Decay With Applications Of Antimicrobial


A Mathematical Model Of Biofilm Growth And Decay With Applications Of Antimicrobial
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Author : Kevin D. Buckman
language : en
Publisher:
Release Date : 2012

A Mathematical Model Of Biofilm Growth And Decay With Applications Of Antimicrobial written by Kevin D. Buckman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Anti-infective agents categories.


A biofilm is a structured community of microorganisms held together by a matrix of polysaccharides, nucleic acids, and proteins. Bacteria in biofilms show a higher resistance to antimicrobials than planktonic bacteria. In this paper, a mathematical model is developed that describes the growth of a biofilm by nutrient and the decay of a biofilm through applications of antimicrobial. The model includes reaction-diffusion equations used to describe the movement of nutrients and antimicrobial, the soluble components of the biofilm. The transport of living bacteria, inert bacteria, persister bacteria, and the matrix, also know as extracellular polymeric substance, is represented by advection equations. The system of partial differential equations is solved numerically using FiPy, a finite volume method package for the Python programming language. For treatment of the biofilm, the model describes the delivery of antimicrobial in two forms: as a aqueous solution that diffuses through the biofilm-fluid interface and as nanospheres that are embedded within the biofilm and release antimicrobial as they degrade. We examine the efficiency of treatment of a biofilm for various treatment scenarios that include different types of nanospheres and different placements of nanospheres.



Mathematical Models Of Biofilm In Various Environments


Mathematical Models Of Biofilm In Various Environments
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Author : Yilin Wu
language : en
Publisher:
Release Date : 2019

Mathematical Models Of Biofilm In Various Environments written by Yilin Wu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.


Microbial biofilms are defined as clusters of microbial cells living in self-produced extracellular polymeric substances (EPS), which always attached to various kinds of surfaces. In this thesis, we studied several mathematical models of biofilm in the human body and marble environment. Some related background of biofilm growth and some basic existing numerical models were introduced in the first chapter. In the first project, we introduced how biofilm affects the local oxygen concentration near the neutrophil cells in the human body with three one-dimensional reaction-diffusion models from different geometries. In nature, microbial biofilm development can be observed on almost all kinds of stone monuments and can also be associated with the problem of monument conservation. In the second part of my research, we built the deliquescence models for biofilm growth environment in the first model and added biomass into consideration in the second one. Also, we analyzed the stability of the equilibria. In the third part, we applied the weather data collected from the weather station on the roof of the Jefferson Memorial to the deliquescence model with biofilm. Furthermore, compared the simulation result for biofilm growth in cold and warm weathers. In the last part of this thesis, we analyzed the biofilm activity with support vector regression. The machine learning model we obtained can be used to find the growth trends of biofilm for any pair of temperature and relative humidity data.