Engineered Biocomposites for Dye Adsorption

Ahmad Hussaini Jagaba (Hrsg.), Abdullahi Haruna Birniwa (Hrsg.), Shamsul Rahman Mohamed Kutty (Hrsg.), Mohamed Hasnain Isa (Hrsg.)

EPUB
ca. 236,22

Elsevier Science img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Chemische Technik

Beschreibung

Engineered Biocomposites for Dye Adsorption compiles and discusses applications, mechanisms, and performance evaluation of various biocomposites during dye adsorption. The book analyzes the techno-economic and life-cycle assessment of biocomposites for dye adsorption. It highlights different adsorbent materials for dye degradation and resource recovery ranging from but not limited to activated carbon, biochar, hydrochar, pyrochar, waste fruits, waste industrial sludge, geological materials, graphene, carbon nanotubes, MXene, polymers, metals, nanomaterials, and metal-organic frameworks.The book shows how combining materials such as biocomposites significantly yields better dye adsorption than a single material and addresses conventional issues with adsorption such as adsorbent cost, effectiveness, regeneration, and sustainability and provides insights into the preparation and use of new adsorbent materials for dye removal from aqueous solutions. The information contained in this book will increase readers' fundamental knowledge, guide future researchers, and can be incorporated into future works on experimental studies on dye adsorption. As such it serves as an indispensable resource and reference work for engineers, wastewater specialists, biotechnologists, chemists, microbiologists, researchers, and students studying industrial effluents, biomass, bioproducts, and adsorption processes. - Offers a collection of the state-of-the-art dye removal methods using conventional and advanced/new adsorbents- Provides a detailed understanding of the methods of preparation and properties of new adsorbents and biocomposites- Includes applications of biocomposite adsorbents in dye removal, their effectiveness and limitations, and process optimization

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