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Advances in Lignocellulosic Biofuel Production Systems.

Detalles Bibliográficos
Autor principal:	Moodley, Preshanthan
Otros Autores:	Ray, Ramesh C., Gueguim Kana, Evariste B.
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	San Diego : Elsevier Science & Technology, 2023.
Colección:	Applied Biotechnology Reviews Series
Acceso en línea:	Texto completo

Tabla de Contenidos:

Front Cover
Advances in Lignocellulosic Biofuel Production Systems
Copyright Page
Contents
List of contributors
Preface
I. Introduction
1 Current status of lignocellulosic biofuel production system-an overview
1.1 Introduction
1.2 Lignocellulosic biomass: an ideal candidate feedstock for biofuels
1.2.1 Pretreatment
1.2.2 Bioethanol
1.2.3 Biohydrogen
1.2.4 Sustainable aviation fuel
1.2.5 Biogas
1.3 Biorefineries
1.4 Genetic engineering of feedstocks and fermenting microorganisms
1.5 Artificial intelligence in biofuel production
1.6 Bioreactor configuration for enhanced biofuel processes
1.7 Current status of global energy recovery from lignocelluloses
1.8 Conclusion and future perspectives
References
II. Feedstock &amp
processing
2 Lignocellulosic biomass: A feedstock to support the circular economy
2.1 Introduction
2.2 Types and composition of lignocellulosic biomass
2.3 Pretreatment strategies for the lignocellulosic biomass conversion as a feedstock for biofuel production
2.3.1 Physical pretreatment
2.3.2 Chemical pretreatment
2.3.3 Biological pretreatment
2.3.4 Physicochemical pretreatment
2.3.5 Advanced methods in feedstock pretreatment
2.4 Current insights into the conversion of lignocellulosic biomass as a feedstock for biofuel production
2.5 Link of lignocellulosic biomass with circular economy
2.6 Conclusions and future prospects
Abbreviations
References
3 Genetically engineered lignocellulosic feedstocks for enhanced biofuel yields
3.1 Introduction
3.2 Lignocellulose ethanol production
3.3 Key traits to increasing lignocellulosic biomass production and yield
3.4 Genetic engineering strategies to modify plant biomass properties
3.4.1 Changing the structure and content of lignin in the cell.
3.4.2 The increasing cellulose content in biomass
3.4.3 Hemicellulose biosynthesis and engineering
3.4.4 Cellulase enzymes for enzymatic hydrolysis
3.4.5 Pectin biosynthesis and modification
3.4.6 Yeast fermentation step
3.5 Genetic modification through CRISPR-Cas9 technology
3.6 Conclusions and future perspectives
Abbreviations
References
4 Pretreatment technologies for lignocellulosic biomass refineries
4.1 Introduction
4.2 Bioprocessing schemes of lignocellulosic biomass
4.3 Pretreatment of lignocellulosic biomass
4.3.1 Physical pretreatments
4.3.2 Chemical pretreatments
4.3.2.1 Acid pretreatment
4.3.2.2 Alkaline pretreatment
4.3.2.3 Organic solvent pretreatment
4.3.2.4 Ionic liquid pretreatment
4.3.3 Physicochemical pretreatments
4.3.3.1 Steam explosion
4.3.3.2 Ammonia fiber explosion
4.3.3.3 Microwave-assisted pretreatment
4.3.4 Biological pretreatment
4.4 Recent advancements in the pretreatment
4.5 Challenges in the commercialization of pretreatment technologies
4.6 Conclusion and future perspectives
References
5 Application of microwave energy in the processing of lignocellulosic biomass
5.1 Introduction
5.2 Microwave-assisted thermochemical conversion-gasification and pyrolysis
5.3 Microwave-assisted biological conversion
5.4 Microwave-assisted extraction of high-value compounds
5.5 Factors affecting efficiency of microwave-assisted biomass processing
5.6 Summary and conclusion
Abbreviations
References
6 Cellulosic-based enzymes for enhanced saccharification for biofuel production
6.1 Introduction
6.2 Cellulase and hydrolysis mechanism
6.3 Pretreatment techniques
6.3.1 Physical/mechanical methods
6.3.2 Physiochemical method
6.3.3 Chemical method
6.3.4 Biological method
6.3.5 Enzyme testing.
8.4.4.3 Scanning electron microscope analysis of switch grass treated by water and acid mine drainage before and after enzy...
8.4.5 Enzymatic hydrolysis of acid mine drainage treated and untreated switch grass
8.5 Discussion and conclusion
References
III. Recent trends in bioprocessing
9 Metabolic engineering of microorganisms in advancing biofuel production
9.1 Introduction
9.2 Overview of metabolic pathways of microorganisms for biofuels
9.3 Metabolic engineering of microorganisms for biofuel production
9.3.1 Metabolic engineering of bacteria for biofuel production
9.3.2 Metabolic engineering of cyanobacteria for biofuel production
9.3.3 Metabolic engineering fungi for biofuel production
9.3.4 Metabolic engineering of yeast for biofuel production
9.4 Cell surface display engineering of microorganisms for biofuel production
9.5 Conclusion and future prospects
References
10 Lignocellulosic biofuel production: Insight into microbial factories
10.1 Introduction
10.2 Lignocellulosic biomass and pretreatment
10.3 Microbial fermentation and process types
10.4 Kinetic modeling for bioprocess development
10.5 Lignocellulosic biofuel production
10.5.1 Bioethanol
10.5.2 Biobutanol
10.5.3 Biohydrogen
10.5.4 Biogas
10.6 Current challenges of lignocellulosic biofuel production
10.7 Advancements in lignocellulosic biofuel production
10.8 Conclusion and future perspectives
Abbreviations
References
11 Cell immobilization strategies to enhance yield of liquid biofuels
11.1 Introduction
11.2 Biofuels from lignocellulosic biomass
11.3 Immobilization methods/techniques
11.3.1 Entrapment/encapsulation
11.3.2 Physical adsorption
11.3.3 Covalent binding
11.3.4 Cross-linking
11.4 Immobilized bioprocess components
11.4.1 Immobilization of whole cells.
11.4.2 Immobilization of enzymes
11.4.3 Substrates for immobilization
11.4.4 Immobilized bioreactor system
11.5 Production of sustainable biofuels
11.5.1 Bioethanol
11.5.2 Biodiesel
11.5.3 Biohydrogen
11.5.4 Biobutanol
11.6 Life cycle analysis of liquid biofuels using immobilization techniques
11.7 Patents, commercial applications, and research gaps
11.7.1 Patents
11.7.2 Commercial applications
11.7.3 Research gaps
11.8 Conclusion and future perspectives
References
IV. Advances in modeling and development
12 Artificial intelligence as a tool for yield prediction in biofuel production systems
12.1 Introduction
12.2 Machine learning in biofuel production systems
12.2.1 Biological processes
12.2.2 Thermochemical processes
12.3 Artificial intelligence employment in lignocellulosic biomass pretreatment
12.4 Artificial intelligence employment in pretreatment inhibitor profile analysis
12.5 Impact of artificial intelligence on lignocellulosic biofuel production systems
12.6 Conclusions and future perspectives
Abbreviations
References
13 Integrated biorefineries: The path forward
13.1 Introduction
13.2 Feedstocks for biorefineries
13.2.1 Lignocellulosic substrates
13.2.2 Lignocellulose-starch substrates
13.3 Overview of pretreatment
13.4 Pretreatment selection criteria for microbial-derived products in biorefineries
13.5 Microbial fermentation
13.6 Lignocellulosic fermentation process type
13.6.1 Separate hydrolysis and fermentation
13.6.2 Simultaneous saccharification and fermentation
13.6.3 Simultaneous saccharification and fermentation with a prehydrolysis step
13.7 Lignocellulosic biofuel production
13.7.1 Bioethanol
13.7.2 Biohydrogen
13.7.3 Biogas
13.8 Microbial high-value products from lignocellulosic biomass.

Advances in Lignocellulosic Biofuel Production Systems.

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