Enzymatic Treatment of Biomass for Energy: Biochemical Methods

Dr. Pal is currently working as an Assistant Professor, Department of Chemical Engineering, Harcourt Butler Technical University, Kanpur-208002, Uttar Pradesh India. He has received his M. Tech in 2011 and Ph.D. in 2017, in the field of Chemical Engineering from Indian Institute of Technology (BHU) Varanasi, Uttar Pradesh, India. Before that, he has completed his B. Tech in Chemical Engineering from UPTU, Lucknow in 2006. Dr Pal completed doctorate degree in the field of nanotechnology and catalysis. These nanofibers have very promising potential to provide benefits to nanotechnologies, energy, environment, catalysts, sensors etc. While pursuing research he published 81 articles in the international referred journals, six books, and thirty book chapters. Dr. Pal’s research interest is nano-technology, catalysis, energy and environment and waste management with a special focus in developing process and materials by using waste as raw materials. He also prefers to work on bio-waste processing and value addition. Dr. Kapoor is currently working as a Professor in the Department of Chemical Engineering at Harcourt Butler Technical University, Kanpur-208002, Uttar Pradesh, India. He earned his B. Tech and M. Tech (dual degree program) in Chemical Engineering from Indian Institute of Technology (IIT) Madras, Tamil Nadu, India, in 2004. He received his PhD from University of Illinois Urbana-Champaign (UIUC), Illinois, USA, in 2011. Before assuming his current position, Dr. Kapoor worked as a Product Engineer at Lam Research Corporation, California, USA, and as a faculty member in the Department of Chemical Engineering at SRM Institute of Science and Technology, India. With over 12 years of experience in industry and academia, he has authored more than 75 peer-reviewed international publications. His research interests include microfluidics, lab-on-a-chip technologies, environmental remediation, biomass valorization, and modeling and simulation. Dr. P. William is working as Dean, Research & Development at Sanjivani University, Kopargaon. He is the Post Doctoral Fellow from Amity University Dubai, UAE and Adjunct faculty of Victorian Institute of Technology, Australia. He is recognized in World Top 2% Scientist list by Stanford University and Elsevier. He is a member of IEEE, QCFI, ISTE and various other professional bodies. His research includes innovation and development of cutting-edge solutions in the fields of natural language processing, artificial intelligence, deep learning, machine learning, soft computing, cybersecurity, and cloud computing. He has published 200+ papers in Scopus indexed journals and Conferences. He has 30+ patents published with grants in his credit. He has authored and edited 10+ books with renowned publishers of global recognition. He served as a Chairperson and Auditor in multiple committees of national recognition. Delivered Keynote speeches and chaired many sessions in International Conferences. He was appointed as Series Editor, Guest Editor and Reviewer in multiple indexed journals.

• Section I: Introduction1. Introduction to Biochemical Conversion of Biomass to Energy2. Exploring Mechanisms of Enzymatic Hydrolysis3. Role of Enzyme Loading, Temperature, and pH for Hydrolysis Efficiency4. Pretreatment Strategies for Improved Enzymatic Hydrolysis Performance5. Influence of Biomass Structure and Composition on Enzymatic BioconversionSection II: Biofuel and Biogas Production via Enzymatic Routes6. Bioethanol Production from Lignocellulosic Biomass Using Enzymes7. Enzymatic Transesterification for Biodiesel Generation8. Biohydrogen Production Through Enzyme-Assisted Fermentation Processes9. Enzymatic Hydrolysis of Food and Agro-Waste for Biogas Generation10. Process Intensification and Consolidated Bioprocessing StrategiesSection III: Process Optimization, Digitalization, and Advanced Tools11. Immobilized Enzymes in Bioconversion Processes: Stability and Reusability12. Process Simulation and Optimization of Enzyme-Catalysed Biofuel Production13. Machine Learning for Enzymatic Bioprocess Engineering14. Genetic Engineering Advances for Enzymatic Biofuel Production