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Advanced Methods and Mathematical Modeling of Biofilm 1st Edition – eBook PDF

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Advanced Methods and Mathematical Modeling of Biofilm – Ebook PDF

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Advanced Methods and Mathematical Modeling of Biofilm 1st Edition – Ebook PDF Instant Delivery – ISBN(s): 9780323856904,032385690X,9780323903745,0323903746Product details:

  • ISBN-10 ‏ : ‎ 0323903746
  • ISBN-13 ‏ : ‎ 9780323903745
  • Author: Dr. Mojtaba Aghajani Delavar

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.

Table contents:

Chapter 1. Introduction

1.1. Background
1.2. History of biofilms studies
1.3. Problems and objectives of biofilm research
Chapter 2. Concept and fundamentals of biofilms
2.1. Overview
2.2. Spatiotemporal heterogeneity
2.3. Nutrient availability and environmental conditions
2.4. Competition and cooperation
2.5. Modeling approaches and selection
2.6. Numerical solutions
2.7. Classification and selection of mathematical models
Chapter 3. Kinetic models
3.1. Monod model
3.2. Extended Monod’s models
3.3. Substrate consideration
3.4. Other unstructured models
3.5. Summary
Chapter 4. Continuum models
4.1. Continuum models overview
4.2. One-dimensional continuum models
4.3. Multidimensional continuum models
4.4. Quorum sensing, antimicrobial persistence, and EPS modeling
4.5. Summary
Chapter 5. Discrete models
5.1. Discrete models overview
5.2. Biological cellular automata
5.3. Individual-based models
5.4. Hybrid model of computational fluid dynamics and cellular automata
5.5. Summary
Chapter 6. Hybrid lattice Boltzmann continuum–discrete models
6.1. Biofilm growth and development in reactive transport systems
6.2. Hybrid lattice Boltzmann and cellular automaton models
6.3. Hybrid lattice Boltzmann and individual-based models
6.4. Summary
Chapter 7. Bioreactor concepts, types, and modeling
7.1. Bioreactor definition and functions
7.2. Bioreactor types
7.3. Bioreactor components and control system
7.4. Bioreactor modeling
7.5. Challenges and trends for bioreactor modeling
7.6. Summary
Index

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