
Bioremediation for Environmental Sustainability
Approaches to Tackle Pollution for Cleaner and Greener Society
- 1st Edition - August 29, 2020
- Imprint: Elsevier
- Editors: Vineet Kumar, Gaurav Saxena, Maulin P. Shah
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 0 3 1 8 - 7
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 0 3 1 7 - 0
Bioremediation for Environmental Sustainability: Approaches to Tackle Pollution for Cleaner and Greener Society discusses many recently developed and successfully applied bio/ph… Read more
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- Illustrates the importance of microbes and plants in bio/phytoremediation and wastewater treatment
- Includes chapters on original research outcomes pertaining to pollution, pollution abatement, and associated bioremediation technologies
- Covers emerging bioremediation technologies, including electro-bioremediation, microbial fuel cell, nano-bioremediation, constructed wetlands, and more
- Highlights key developments and challenges in bioremediation and phytoremediation technologies
- Describes the roles of relatively new approaches in bio/phytoremediation, including molecular engineering and omics technologies, microbial enzymes, biosurfactants, plant-microbe interactions, genetically engineered organisms, and more
Researchers, Chemical/Environmental Engineers, Environmental Health and Risk Scientists, Environmental Chemists and Scientists, Environmentalists, Microbiologists and Biotechnologists, Waste Treatment Engineers
- Edition: 1
- Published: August 29, 2020
- Imprint: Elsevier
- Language: English
VK
Vineet Kumar
GS
Gaurav Saxena
MS
Maulin P. Shah
Dr. Maulin P. Shah is an active researcher and microbial biotechnologist with diverse research interest. His primary interest is the environment, the quality of our living resources and the ways that bacteria can help to manage and degrade toxic wastes and restore environmental health. Consequently, His work has been focused to assess the impact of industrial pollution on microbial diversity of wastewater following cultivation dependant and cultivation independent analysis.