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Design of Experiments for Pharmaceutical Product Development -

Design of Experiments for Pharmaceutical Product Development (eBook)

Volume I : Basics and Fundamental Principles

Sarwar Beg (Herausgeber)

eBook Download: PDF
2021 | 1st ed. 2021
VII, 96 Seiten
Springer Singapore (Verlag)
978-981-334-717-5 (ISBN)
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This book volume provides complete and updated information on the applications of Design of Experiments (DoE) and related multivariate techniques at various stages of pharmaceutical product development. It discusses the applications of experimental designs that shall include oral, topical, transdermal, injectables preparations, and beyond for nanopharmaceutical product development, leading to dedicated case studies on various pharmaceutical experiments through illustrations, art-works, tables and figures. 

This book is a valuable guide for all academic and industrial researchers, pharmaceutical and biomedical scientists, undergraduate and postgraduate research scholars, pharmacists, biostatisticians, biotechnologists, formulations and process engineers, regulatory affairs and quality assurance personnel. 



Dr. Sarwar Beg is currently serving as Assistant Professor of Pharmaceutics & Biopharmaceutics at School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, Dr Sarwar has expertise in implementation of Quality by Design (QbD) in formulation development and analytical development of generic products. He has over a decade of experience in systematic development and characterization of novel and nanostructured drug delivery systems using QbD paradigms including Design of Experiments (DoE), Quality Risk Management (QRM), Multivariate Chemometric Approaches, Advanced Biopharmaceutics and Pharmacokinetic. Besides, Dr Sarwar has acquired know-how of applying advanced release kinetic modeling, pharmacokinetic modeling and in vitro/in vivo correlation (IVIVC) for efficient development of drug products. Till date, he has authored over 170 publications including research and review papers in high impact peer-reviewed journals, 10 journal special issues, 13 books, 45 book chapters and 3 Indian patent applications. He currently serves as the Regional Editor-Asia of the journal Current Nanomedicine (Bentham Science) and is an editorial board member of several other journals. He has been awarded with prestigious 'Sun Pharma Science Foundation Award 2017' by Hon'ble Health Minister of India, 'Innovative Pharma Researcher Award 2016' by SIPRA Lab (Hyderabad), 'Eudragit® Award 2014' in South-Asia by M/s Evonik (Germany), 'Budding QbD Scientist Award 2014' and 'Budding ADME Scientist Award 2013' by M/s Select Biosciences (UK) and 'Novartis Biocamp Award 2012' (Hyderabad). Besides, Dr Sarwar is a visiting researcher to many academic institutes/universities and pharma industrial houses for delivering expert lectures and hands-on training seminars.


This book volume provides complete and updated information on the applications of Design of Experiments (DoE) and related multivariate techniques at various stages of pharmaceutical product development. It discusses the applications of experimental designs that shall include oral, topical, transdermal, injectables preparations, and beyond for nanopharmaceutical product development, leading to dedicated case studies on various pharmaceutical experiments through illustrations, art-works, tables and figures. This book is a valuable guide for all academic and industrial researchers, pharmaceutical and biomedical scientists, undergraduate and postgraduate research scholars, pharmacists, biostatisticians, biotechnologists, formulations and process engineers, regulatory affairs and quality assurance personnel. 
Erscheint lt. Verlag 12.1.2021
Zusatzinfo VII, 96 p. 31 illus., 8 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik
Medizin / Pharmazie Allgemeines / Lexika
Medizin / Pharmazie Pflege
Medizin / Pharmazie Pharmazie PTA / PKA
Naturwissenschaften Biologie Biochemie
Technik
Schlagworte Design of Experiments (DoE) • Factor optimization • Factor screening • statistical modeling • Statistics • Systematic designing
ISBN-10 981-334-717-1 / 9813347171
ISBN-13 978-981-334-717-5 / 9789813347175
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