This book explains how to apply non-statistical and statistical techniques to the optimization of biological systems. Employing real-life bioprocess optimization problems and their solutions as examples, the text describes experimental design from identifying process variables to selecting a screening design, applying response surface methodology, and conducting regression modeling. It demonstrates the statistical analysis and optimization of different experimental designs, details the optimization techniques employed to determine optimum levels of the process variables for both single- and multiple-response systems, and discusses important experimental designs.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Tapobrata Panda is a Professor at the Indian Institute of Technology Madras, Chennai, India. He received a BSc (honors) in Chemistry from the University of Calcutta, Kolkata, India; a BTech and MTech in Food Technology and Biochemical Engineering from Jadavpur University, Kolkata, India; and a PhD in Biochemical Engineering from the Indian Institute of Technology Delhi, New Delhi. Professor Panda is widely published and a member of several journals’ editorial boards. His papers have an ‘h’-index (Google Scholar) of 30 and ‘i-10’ value of 64. His areas of interest include hybrid experimental design, bio-MEMS, biological synthesis of nanoparticles, and design of therapeutic molecules and enzymes.
R. Arun Kumar is currently working with an oil and gas super major in liquefied natural gas business as a Process Engineer. Previously, he worked for an international oil and gas service company. He received a BTech in Chemical Engineering from the Indian Institute of Technology Madras, Chennai, India; and was in the top 1% of the National Astronomy and Physics Olympiad. His areas of interest include biochemical engineering, genetic algorithms applied to biological systems, and design of experiments.
Thomas Théodore is an Associate Professor of Chemical Engineering at the Siddaganga Institute of Technology, Tumkur, India. He received Chemical Engineering degrees from Annamalai University, Chidambaram, India, and Alagappa College of Technology, Chennai, India; an MS in Bioengineering from the École Supérieure de Physique et de Chimie Industrielles de la Ville de Paris, France; an MEngSc in Biopharmaceutical Engineering from University College Dublin, Ireland; and a PhD in Biochemical Engineering from the Indian Institute of Technology Madras, Chennai, India. His areas of interest include therapeutic proteins and biodegradable polymers.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo GO-9781466587083
Quantità: 1 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 24518705-n
Quantità: 10 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 24518705-n
Quantità: 10 disponibili
Da: Chiron Media, Wallingford, Regno Unito
Hardcover. Condizione: New. Codice articolo 6666-GRD-9781466587083
Quantità: 1 disponibili
Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9781466587083_new
Quantità: 1 disponibili
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Hardback. Condizione: New. This book explains how to apply non-statistical and statistical techniques to the optimization of biological systems. Employing real-life bioprocess optimization problems and their solutions as examples, the text describes experimental design from identifying process variables to selecting a screening design, applying response surface methodology, and conducting regression modeling. It demonstrates the statistical analysis and optimization of different experimental designs, details the optimization techniques employed to determine optimum levels of the process variables for both single- and multiple-response systems, and discusses important experimental designs. Codice articolo LU-9781466587083
Quantità: 1 disponibili
Da: moluna, Greven, Germania
Condizione: New. Tapobrata Panda is a Professor at the Indian Institute of Technology Madras, Chennai, India. He received a BSc (honors) in Chemistry from the University of Calcutta, Kolkata, India a BTech and MTech in Food Technology and Biochemical En. Codice articolo 902963145
Quantità: 1 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Buch. Condizione: Neu. Neuware - This book explains how to apply non-statistical and statistical techniques to the optimization of biological systems. Employing real-life bioprocess optimization problems and their solutions as examples, the text describes experimental design from identifying process variables to selecting a screening design, applying response surface methodology, and conducting regression modeling. It demonstrates the statistical analysis and optimization of different experimental designs, details the optimization techniques employed to determine optimum levels of the process variables for both single- and multiple-response systems, and discusses important experimental designs. Codice articolo 9781466587083
Quantità: 2 disponibili
Da: Revaluation Books, Exeter, Regno Unito
Hardcover. Condizione: Brand New. 1st edition. 277 pages. 9.50x6.25x0.75 inches. In Stock. Codice articolo zk1466587083
Quantità: 1 disponibili
Da: Rarewaves.com UK, London, Regno Unito
Hardback. Condizione: New. This book explains how to apply non-statistical and statistical techniques to the optimization of biological systems. Employing real-life bioprocess optimization problems and their solutions as examples, the text describes experimental design from identifying process variables to selecting a screening design, applying response surface methodology, and conducting regression modeling. It demonstrates the statistical analysis and optimization of different experimental designs, details the optimization techniques employed to determine optimum levels of the process variables for both single- and multiple-response systems, and discusses important experimental designs. Codice articolo LU-9781466587083
Quantità: 1 disponibili