Algae Based Polymers, Blends, and Composites: Chemistry, Biotechnology and Material Sciences offers considerable detail on the origin of algae, extraction of useful metabolites and major compounds from algal bio-mass, and the production and future prospects of sustainable polymers derived from algae, blends of algae, and algae based composites. Characterization methods and processing techniques for algae-based polymers and composites are discussed in detail, enabling researchers to apply the latest techniques to their own work. The conversion of bio-mass into high value chemicals, energy, and materials has ample financial and ecological importance, particularly in the era of declining petroleum reserves and global warming. Algae are an important source of biomass since they flourish rapidly and can be cultivated almost everywhere. At present the majority of naturally produced algal biomass is an unused resource and normally is left to decompose. Similarly, the use of this enormous underexploited biomass is mainly limited to food consumption and as bio-fertilizer. However, there is an opportunity here for materials scientists to explore its potential as a feedstock for the production of sustainable materials. – Provides detailed information on the extraction of useful compounds from algal biomass- Highlights the development of a range of polymers, blends, and composites- Includes coverage of characterization and processing techniques, enabling research scientists and engineers to apply the information to their own research and development- Discusses potential applications and future prospects of algae-based biopolymers, giving the latest insight into the future of these sustainable materials
Muhammad Ali & Khalid Mahmood Zia
Algae Based Polymers, Blends, and Composites [EPUB ebook]
Chemistry, Biotechnology and Materials Science
Algae Based Polymers, Blends, and Composites [EPUB ebook]
Chemistry, Biotechnology and Materials Science
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Idioma Inglés ● Formato EPUB ● ISBN 9780128123614 ● Editor Muhammad Ali & Khalid Mahmood Zia ● Editorial Elsevier Science ● Publicado 2017 ● Descargable 3 veces ● Divisa EUR ● ID 5200137 ● Protección de copia Adobe DRM
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