Priyanka Mahajan – författare

This book explores the use of graphene in heavy metal cleanup. The introductory chapter contains enough information for understanding graphene, including its synthesis, characterisation, and amazing mechanical, electrical, and thermal properties. The risks of compounds like lead, mercury, cadmium, and arsenic are also explained, along with the dangerous effects of heavy metals. The next chapters go into great detail about the ways by which graphene expertly adsorbs heavy metal ions. The ability of graphene to absorb heavy metals and the extraordinary adsorption characteristics that explain graphene’s efficiency in heavy metal removal are well explained. This book also shows how graphene may be dynamically combined with other materials to create potent nanocomposites with improved heavy metal cleanup capabilities. The environmental and safety implications of these ground-breaking solutions are also well given in detail. In addition to discussing the potential environmental issues associated with the discharge of graphene particles, the complexity of graphene dispersion, scalability, and cost-effectiveness are also covered. This book ends by looking towards the future prospects of how graphene will change its role in heavy metal cleaning and continue to advance in the same domain. This book is an attempt to explore a cutting-edge area of materials science and environmental protection. It connects the extraordinary qualities of graphene, and heavy metal contamination in pursuit of a cleaner environment and is a good resource for scholars, academicians, and environmental practitioners by revealing a thorough examination of the crucial part that graphene plays in tackling heavy metal contamination.

This book explores the use of graphene in heavy metal cleanup. The introductory chapter contains enough information for understanding graphene, including its synthesis, characterisation, and amazing mechanical, electrical, and thermal properties. The risks of compounds like lead, mercury, cadmium, and arsenic are also explained, along with the dangerous effects of heavy metals. The next chapters go into great detail about the ways by which graphene expertly adsorbs heavy metal ions. The ability of graphene to absorb heavy metals and the extraordinary adsorption characteristics that explain graphene’s efficiency in heavy metal removal are well explained. This book also shows how graphene may be dynamically combined with other materials to create potent nanocomposites with improved heavy metal cleanup capabilities. The environmental and safety implications of these ground-breaking solutions are also well given in detail. In addition to discussing the potential environmental issues associated with the discharge of graphene particles, the complexity of graphene dispersion, scalability, and cost-effectiveness are also covered. This book ends by looking towards the future prospects of how graphene will change its role in heavy metal cleaning and continue to advance in the same domain. This book is an attempt to explore a cutting-edge area of materials science and environmental protection. It connects the extraordinary qualities of graphene, and heavy metal contamination in pursuit of a cleaner environment and is a good resource for scholars, academicians, and environmental practitioners by revealing a thorough examination of the crucial part that graphene plays in tackling heavy metal contamination.

This book explores the integration of nanotechnology and artificial intelligence (AI) to address the pressing global challenge of air pollution. With increasing concerns over public health and environmental sustainability, there is a critical need for advanced, efficient, and scalable solutions. This volume presents a comprehensive perspective on how nano-enabled materials and AI-driven approaches are transforming air pollution monitoring, control, and management.The book brings together fundamental insights and advanced developments in nanoparticle-based filtration systems, catalytic degradation mechanisms, and functionalized nanomaterials for selective pollutant removal. It also critically examines the environmental and health implications of deploying nanomaterials, ensuring a balanced and responsible approach to technological advancement. Alongside material innovations, the book highlights the growing role of artificial intelligence in air quality monitoring, emphasising machine learning techniques, predictive modelling, and autonomous sensing technologies that enable real-time analysis and data-driven decision-making. Practical implementation aspects are addressed through discussions on urban air pollution management strategies and global perspectives on the adoption of nano–AI technologies across diverse environmental settings. The book further extends its scope to sustainability assessment, covering life cycle analysis, socioeconomic implications, and the challenges associated with large-scale deployment. Emerging trends and innovations are also explored, offering a forward-looking perspective on the evolution of intelligent air pollution control systems.By bridging the gap among materials science, artificial intelligence, and environmental engineering, this book serves as a valuable resource for researchers, academics, policymakers, and industry professionals working toward sustainable air quality management.