Fundamental bioengineering

A thorough introduction to the basics of bioengineering, with a focus on applications in the emerging "white" biotechnology industry. As such, this latest volume in the "Advanced Biotechnology" series covers the principles for the design and analysis of industrial bioprocesses as...

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Detalles Bibliográficos
Otros Autores: Villadsen, John, editor (editor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Weinheim, Germany : Wiley-VCH 2016.
Edición:1st ed
Colección:Advanced biotechnology.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009849087206719
Tabla de Contenidos:
  • Fundamental Bioengineering
  • Contents
  • List of Contributors
  • About the Series Editors
  • 1: Introduction and Overview
  • Part One: Fundamentals of Bioengineering
  • 2: Experimentally Determined Rates of Bio-Reactions
  • Summary
  • 2.0 Introduction
  • 2.1 Mass Balances for a CSTR Operating at Steady State
  • 2.2 Operation of the Steady-State CSTR
  • References
  • 3: Redox Balances and Consistency Check of Experiments
  • Summary
  • 3.1 Black-Box Stoichiometry Obtained in a CSTR Operated at Steady State
  • 3.2 Calculation of Stoichiometric Coefficients by Means of a Redox Balance
  • 3.3 Applications of the Redox Balance
  • 3.4 Composition of the Biomass X
  • 3.5 Combination of Black-Box Models
  • 3.6 Application of Carbon and Redox Balances in Bio-Remediation Processes
  • References
  • 4. Primary Metabolic Pathways and Metabolic Flux Analysis
  • Summary
  • 4.0 Introduction
  • 4.1 Glycolysis
  • 4.2 Fermentative Metabolism: Regenerating the NAD+ Lost in Glycolysis
  • 4.3 The TCA Cycle: Conversion of Pyruvate to NADH + FADH2, to Precursors or Metabolic Products
  • 4.4 NADPH and Biomass Precursors Produced in the PP Pathway
  • 4.5 Oxidative Phosphorylation: Production of ATP from NADH (FADH2) in Aerobic Fermentation
  • 4.6 Summary of the Biochemistry of Primary Metabolic Pathways
  • 4.7 Metabolic Flux Analysis Discussed in Terms of Substrate to Product Pathways
  • 4.8 Metabolic Flux Analysis Discussed in Terms of Individual Pathway Rates in the Network
  • 4.9 Propagation of Experimental Errors in MFA
  • 4.10 Conclusions
  • References
  • 5. A Primer to 13C Metabolic Flux Analysis
  • Summary
  • 5.1 Introduction
  • 5.2 Input and Output Data of 13C MFA
  • 5.3 A Brief History of 13C MFA
  • 5.4 An Illustrative Toy Example
  • 5.5 The Atom Transition Network
  • 5.6 Isotopomers and Isotopomer Fractions
  • 5.7 The Isotopomer Transition Network.
  • 5.8 Isotopomer Labeling Balances
  • 5.9 Simulating an Isotope Labeling Experiment
  • 5.10 Isotopic Steady State
  • 5.11 Flux Identifiability
  • 5.12 Measurement Models
  • 5.13 Statistical Considerations
  • 5.14 Experimental Design
  • 5.15 Exchange Fluxes
  • 5.16 Multidimensional Flux Identifiability
  • 5.17 Multidimensional Flux Estimation
  • 5.18 The General Parameter Fitting Procedure
  • 5.19 Multidimensional Statistics
  • 5.20 Multidimensional Experimental Design
  • 5.21 The Isotopically Nonstationary Case
  • 5.22 Some Final Remarks on Network Specification
  • 5.23 Algorithms and Software Frameworks for 13C MFA
  • Glossary
  • References
  • 6. Genome-Scale Models
  • Summary
  • 6.1 Introduction
  • 6.2 Reconstruction Process of Genome-Scale Models
  • 6.3 Genome-Scale Model Prediction
  • 6.3.1 Mathematical Description of Biochemical Reaction Systems
  • 6.3.2 Constraint-Based Modeling
  • 6.3.3 Pathway Analysis
  • 6.3.4 Flux Balance Analysis
  • 6.3.5 Engineering Applications of Constraint-Based Modeling
  • 6.4 Genome-Scale Models of Prokaryotes
  • 6.4.1 Escherichia coli
  • 6.4.2 Other Prokaryotes
  • 6.4.3 Prokaryotic Communities
  • 6.5 Genome-Scale Models of Eukaryotes
  • 6.5.1 Saccharomyces cerevisiae
  • 6.5.2 Other Unicellular Eukaryotes
  • 6.5.3 Other Multicellular Eukaryotes
  • 6.6 Integration of Polyomic Data into Genome-Scale Models
  • 6.6.1 Integration of Transcriptomics and Proteomics Data
  • 6.6.2 Metabolomics Data
  • 6.6.3 Integration of Multiple Omics
  • Acknowledgment
  • References
  • 7. Kinetics of Bio-Reactions
  • Summary
  • 7.1 Simple Models for Enzymatic Reactions and for Cell Reactions with Unstructured Biomass
  • 7.2 Variants of Michaelis-Menten and Monod kinetics
  • 7.3 Summary of Enzyme Kinetics and the Kinetics for Cell Reactions
  • 7.4 Cell Reactions with Unsteady State Kinetics
  • 7.5 Cybernetic Modeling of Cellular Kinetics.
  • 7.6 Bioreactions with Diffusion Resistance
  • 7.7 Sequences of Enzymatic Reactions: Optimal Allocation of Enzyme Levels
  • References
  • 8. Application of Dynamic Models for Optimal Redesign of Cell Factories
  • Summary
  • 8.1 Introduction
  • 8.2 Kinetics of Pathway Reactions: the Need to Measure in a Very Narrow Time Window
  • 8.2.1 Sampling
  • 8.2.2 Quenching and Extraction
  • 8.2.3 Analysis
  • 8.2.4 Examples for Quantitative Measurements of Metabolites in Stimulus-Response Experiments
  • 8.3 Tools for In Vivo Diagnosis of Pathway Reactions
  • 8.3.1 Modular Decomposition of the Network: the Bottom-Up Approach
  • 8.4 Examples: The Pentose-Phosphate Shunt and Kinetics of Phosphofructokinase
  • 8.4.1 Kinetics of the Irreversible Reactions of the Pentose-Phosphate Shunt
  • 8.4.2 Kinetics of the Phophofructokinase I (PFK1)
  • 8.5 Additional Approaches for Dynamic Modeling Large Metabolic Networks
  • 8.5.1 Generalized Mass Action
  • 8.5.2 S-Systems Approach
  • 8.5.3 Convenience Kinetics
  • 8.5.4 Log-Lin and Lin-Log Approaches
  • 8.6 Dynamic Models Used for Redesigning Cell Factories. Examples: Optimal Ethanol Production in Yeast and Optimal Production of Tryptophan in E. Coli
  • 8.6.1 Dynamic Model
  • 8.6.2 Metabolic Control (Sensitivity) Analysis
  • 8.6.3 Synthesis Amplification of Hexose Transporters
  • 8.6.4 Objective Function
  • 8.6.5 Optimal Solutions
  • 8.6.6 Flux Optimization of Tryptophan Production with E. Coli [67]
  • 8.7 Target Identification for Drug Development
  • References
  • 9. Chemical Thermodynamics Applied in Bioengineering
  • Summary
  • 9.0 Introduction
  • 9.1 Chemical Equilibrium and Thermodynamic State Functions
  • 9.2 Thermodynamic Properties Obtained from Galvanic Cells
  • 9.3 Conversion of Free Energy Harbored in NADH and FADH2 to ATP in Oxidative Phosphorylation.
  • 9.4 Calculation of Heat of Reaction Q=(- ΔHc) and of (- ΔGc) Based on Redox Balances
  • References
  • Part Two: Bioreactors
  • 10. Design of Ideal Bioreactors
  • Summary
  • 10.0 Introduction
  • 10.1 The Design Basis for a Once-Through Steady-State CSTR
  • 10.2 Combination of Several Steady-State CSTRs in Parallel or in Series
  • 10.3 Recirculation of Biomass in a Single Steady-State CSTR
  • 10.4 A Steady-State CSTR with Uptake of Substrates from a Gas Phase
  • 10.5 Fed-Batch Operation of a Stirred Tank Reactor in the Bio-Industry
  • 10.6 Loop Reactors: a Modern Version of Airlift Reactors
  • References
  • 11. Mixing and Mass Transfer in Industrial Bioreactors
  • Summary
  • 11.0 Introduction
  • 11.1 Definitions of Mixing Processes
  • 11.2 The Power Input P Delivered by Mechanical Stirring
  • 11.3 Mixing and Mass Transfer in Industrial Reactors
  • 11.4 Conclusions
  • References
  • Part Three: Downstream Processing
  • 12. Product Recovery from the Cultures
  • Summary
  • 12.0 Introduction
  • 12.1 Steps in Downstream Processing and Product Recovery
  • 12.2 Baker's Yeast
  • 12.3 Xanthan Gum
  • 12.4 Penicillin
  • 12.5 α-A Interferon
  • 12.6 Insulin
  • 12.7 Conclusions
  • References
  • 13. Purification of Bio-Products
  • Summary
  • 13.1 Methods and Types of Separations in Chromatography
  • 13.2 Materials Used in Chromatographic Separations
  • 13.3 Chromatographic Theory
  • 13.4 Practical Considerations in Column Chromatographic Applications
  • 13.5 Scale-Up
  • 13.6 Industrial Applications
  • 13.7 Some Alternatives to Column Chromatographic Techniques
  • 13.8 Electrodialysis
  • 13.9 Electrophoresis
  • 13.10 Conclusions
  • References
  • Part Four: Process Development, Management and Control
  • 14. Real-Time Measurement and Monitoring of Bioprocesses
  • Summary
  • 14.1 Introduction
  • 14.2 Variables that should be Known.
  • 14.3 Variables Easily Accessible and Standard
  • 14.4 Variables Requiring More Monitoring Effort and Not Yet Standard
  • 14.4.1 Biomass
  • 14.4.2 Products and Substrates
  • 14.5 Data Evaluation
  • References
  • 15. Control of Bioprocesses
  • Summary
  • 15.1 Introduction
  • 15.2 Bioprocess Control
  • 15.2.1 Design Variables in Bioreactor Control
  • 15.2.2 Challenges with Respect to Control of a Bioreactor
  • 15.3 Principles and Basic Algorithms in Process Control
  • 15.3.1 Open Loop Control
  • 15.3.2 Feed-forward and Feedback Control
  • 15.3.3 Single-Loop PID Control
  • 15.3.4 Diagnostic Control Strategies
  • 15.3.5 Plant-Wide Control Design
  • References
  • 16. Scale-Up and Scale-Down
  • Summary
  • 16.1 Introduction
  • 16.2 Description of the Large Scale
  • 16.2.1 Mixing
  • 16.2.2 Mass Transfer
  • 16.2.3 CO2 Removal
  • 16.2.4 Cooling
  • 16.2.5 Gas-Liquid Separation
  • 16.3 Scale-Down
  • 16.3.1 One-Compartment Systems
  • 16.3.2 Two-Compartment Systems
  • 16.4 Investigations at Lab Scale
  • 16.4.1 Gluconic Acid
  • 16.4.2 Lipase
  • 16.4.3 Baker's Yeast
  • 16.4.4 Penicillin
  • 16.5 Scale-Up
  • 16.6 Outlook
  • References
  • 17. Commercial Development of Fermentation Processes
  • Summary
  • 17.1 Introduction
  • 17.2 Basic Principles of Developing New Fermentation Processes
  • 17.3 Techno-economic Analysis: the Link Between Science, Engineering, and Economy
  • 17.3.1 Value Drivers and Production Costs of Fermentation Processes
  • 17.3.2 Assessment of New Fermentation Technologies
  • 17.3.3 Assessment of Competing Petrochemical Technologies
  • 17.4 From Fermentation Process Development to the Market
  • 17.4.1 The Value Chain of the Chemical Industry
  • 17.4.2 Innovation and Substitution Patterns in the Chemical Industry
  • 17.5 The Industrial Angle and Opportunities in the Chemical Industry
  • 17.6 Evaluation of Business Opportunities.
  • 17.7 Concluding Remarks and Outlook.