Biochar-Based Catalysts for Removal of Environmental Contaminants
Advanced Treatment Technologies Using Computational Tools
- 1st Edition - January 1, 2026
- Editors: Riti Thapar Kapoor, Mika Sillanpää
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 4 0 4 4 7 - 4
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 4 0 4 4 8 - 1
Biochar-Based Catalysts for Removal of Environmental Contaminants: Advanced Treatment Technologies Using Computational Tools offers a comprehensive exploration of cuttin… Read more
Biochar-Based Catalysts for Removal of Environmental Contaminants: Advanced Treatment Technologies Using Computational Tools offers a comprehensive exploration of cutting-edge research and future directions in utilizing waste biomass for biochar catalyst development and environmental remediation. The book delves into the application of computational tools for wastewater and industrial effluent treatment, soil remediation, and air pollutant removal. From an in-depth analysis of AI and ML tools in enhancing process efficiency to case studies showcasing the practical implications of biochar-based catalysts, the book equips readers with the knowledge and strategies needed to address environmental challenges effectively. Researchers and policy makers will find guidance on planning future research endeavors and making informed decisions to unlock the full potential of waste biomass resources for sustainable development and circular bio-economy. Biochar-Based Catalysts for Removal of Environmental Contaminants: Advanced Treatment Technologies Using Computational Tools bridges the gap between current knowledge and future strategies, offering a roadmap towards achieving carbon neutrality and environmental sustainability.
- Analyses state-of-the-art applications of waste biomass in the development of biochar-based catalysts for wastewater/industrial effluent treatment, soil remediation, and air pollutant removal
- Explores integrated approaches, technological advancements, and optimization strategies utilizing AI and ML tools to enhance process efficiency and sustainability
- Discusses future research strategies and how to make informed decisions to unlock the potential of waste biomass for circular bio-economy, industrial development, and achieving carbon neutrality for sustainable development
Researchers and scientists in academia in biotechnology and microbiology, chemical, environmental and software engineers developing biochar-based catalysts using computational tools
1. Integrating Computational Approaches with Biochar-Based Functional Catalysts for Forecasting Air/Soil Pollution and Remediation of Air/Soil Pollutants from Environment
2. Case Studies on Recent Advances in Applicability of Computational Tools for Design, Optimization and Automation of Biochar-Based Catalysts for Treatment of Industrial Effluents
3. Use of Artificial Intelligence Tools in Agro-Waste Management and Development of Biochar-Based Catalysts and their Application for Environmental Clean-Up
4. Green Algorithms: Artificial Intelligence and Machine Learning synergy for biochar-based effluent remediation
5. Applications of Artificial Intelligence tools for the Adsorption of Pharmaceutical Compounds from Wastewater/Industrial Effluents
6. Artificial neural networks (ANN) for prediction of biochar yield, development of functional catalysts and their application in bioremediation
7. Current Trends and Future Prospects of Artificial Intelligence and Machine Learning Tools for the Removal of Pollutants in Industrial Effluents by Using Biochar-Based Catalysts
8. Removal of Pharmaceutical Compounds from Wastewater by Using Artificial Intelligence Tools: Current Trends and Future Prospects
9. Application of Artificial Intelligence Tools in Development of Biochar-Based Photocatalysts for Removal of Emerging Environmental Contaminants
10. Application of Machine Learning Tools for Prediction of Fertilizers/Pesticides/Dye Adsorption onto Agricultural Waste Derived Biochar/Modified Biochar for Clean Environment
11. Exploring the Application of Artificial Intelligence and Machine Learning Tools in the Removal of Emerging Pollutants from Industrial Effluents by Biochar-Based Catalyst: Current Applications and Future Prospects
12. Integration of Artificial Intelligence Tools with Green Adsorbent Technologies for Sustainable Removal of Pharmaceutical Compounds from Wastewater
13. Artificial Intelligence-Driven Techno-Economic and Life Cycle Assessment of Biochar-Based Catalysts for Contaminants Removal and Waste Recycling: A Comparative Study of Developing and Developed Nations
2. Case Studies on Recent Advances in Applicability of Computational Tools for Design, Optimization and Automation of Biochar-Based Catalysts for Treatment of Industrial Effluents
3. Use of Artificial Intelligence Tools in Agro-Waste Management and Development of Biochar-Based Catalysts and their Application for Environmental Clean-Up
4. Green Algorithms: Artificial Intelligence and Machine Learning synergy for biochar-based effluent remediation
5. Applications of Artificial Intelligence tools for the Adsorption of Pharmaceutical Compounds from Wastewater/Industrial Effluents
6. Artificial neural networks (ANN) for prediction of biochar yield, development of functional catalysts and their application in bioremediation
7. Current Trends and Future Prospects of Artificial Intelligence and Machine Learning Tools for the Removal of Pollutants in Industrial Effluents by Using Biochar-Based Catalysts
8. Removal of Pharmaceutical Compounds from Wastewater by Using Artificial Intelligence Tools: Current Trends and Future Prospects
9. Application of Artificial Intelligence Tools in Development of Biochar-Based Photocatalysts for Removal of Emerging Environmental Contaminants
10. Application of Machine Learning Tools for Prediction of Fertilizers/Pesticides/Dye Adsorption onto Agricultural Waste Derived Biochar/Modified Biochar for Clean Environment
11. Exploring the Application of Artificial Intelligence and Machine Learning Tools in the Removal of Emerging Pollutants from Industrial Effluents by Biochar-Based Catalyst: Current Applications and Future Prospects
12. Integration of Artificial Intelligence Tools with Green Adsorbent Technologies for Sustainable Removal of Pharmaceutical Compounds from Wastewater
13. Artificial Intelligence-Driven Techno-Economic and Life Cycle Assessment of Biochar-Based Catalysts for Contaminants Removal and Waste Recycling: A Comparative Study of Developing and Developed Nations
- Edition: 1
- Published: January 1, 2026
- Language: English
RK
Riti Thapar Kapoor
Dr. Riti Thapar Kapoor is Associate Professor in Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India. Dr. Kapoor received her Ph.D from University of Allahabad and worked as post - doctoral fellow at Banaras Hindu University, Varanasi, India. Dr. Kapoor has fourteen years of teaching and research experience and her area of specialization is environmental biotechnology, bioremediation, wastewater treatment and abiotic stresses. Dr. Kapoor has published 11 books and over 105 research papers in various journals of national and international repute. Dr. Kapoor has visited 8 countries for participation in different academic programmes. Dr. Kapoor has received prestigious travel award from Bill & Melinda Gates Research Foundation under CGIAR project for participation in International training programme held at International Rice Research Institute (IRRI), Manila, Philippines in 2010. She is also recipient of DST travel grant for participation in International Conference held at Sri Lanka in 2013. Dr. Kapoor has been awarded with Teacher’s Research Fellowship from Indian Academy of Sciences, Bengaluru in 2019. She has supervised and mentored a number of research projects sanctioned by different government funding agencies such as DAE, DST and UPCST etc. She has successfully supervised three research students for Ph.D. degree besides several (more than 80) masters and graduate students for their dissertation thesis.
Affiliations and expertise
Centre for Plant and Environmental Biotechnology, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, Uttar Pradesh, IndiaMS
Mika Sillanpää
Mika Sillanpää’s research work centers on chemical treatment in environmental engineering and environmental monitoring and analysis. The recent research focus has been on the resource recovery from waste streams.
Sillanpää received his M.Sc. (Eng.) and D.Sc. (Eng.) degrees from the Aalto University where he also completed an MBA degree in 2013. Since 2000, he has been a full professor/adjunct professor at the University of Oulu, the University of Eastern Finland, the LUT University, the University of Eastern Finland and the University of Johannesburg.
Affiliations and expertise
Professor, University of Johannesburg., South Africa