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Process Simulation and Data Modeling in Solid Oral Drug Development and Manufacture

  • Marianthi G. Ierapetritou
  • Rohit Ramachandran

Part of the Methods in Pharmacology and Toxicology book series (MIPT)

Table of contents

  1. Front Matter
    Pages i-x
  2. Olav Lyngberg, Lieve Bijnens, Jeroen Geens, Alex Marchut, Steve Mehrman, Elisabeth Schafer
    Pages 1-42
  3. Anwesha Chaudhury, Maitraye Sen, Dana Barrasso, Rohit Ramachandran
    Pages 43-83
  4. Sara Koynov, Fernando J. Muzzio
    Pages 85-104
  5. Dana Barrasso, Rohit Ramachandran
    Pages 105-131
  6. Rodolfo J. Romañach, Andrés D. Román-Ospino, Manel Alcalà
    Pages 133-158
  7. Matteo Ottavian, Emanuele Tomba, Massimiliano Barolo
    Pages 159-189
  8. Ravendra Singh, Carlos Velazquez, Abhishek Sahay, Krizia M. Karry, Fernando J. Muzzio, Marianthi G. Ierapetritou et al.
    Pages 191-224
  9. Amanda Rogers, Marianthi G. Ierapetritou
    Pages 225-279
  10. M. Sebastian Escotet-Espinoza, Amanda Rogers, Marianthi G. Ierapetritou
    Pages 281-309
  11. Stephan Sacher, Johannes G. Khinast
    Pages 311-383
  12. Back Matter
    Pages 385-393

About this book

Introduction

This thorough volume aims to provide pharmaceutical engineers with an introduction to the current state of the art in modeling and simulation of pharmaceutical processes and to summarize a number of practical applications of relevant methodologies in drug product development. Chapters include explorations of simulation and modeling methodologies, data collection and analysis, development of novel sensing techniques, development and integration of individual unit models, optimization approaches for data-based models, design space evaluation techniques, informatics-based methodologies, and emerging topics in pharmaceutical process development. As a part of the Methods in Pharmacology and Toxicology series, the chapters contain the kind of detail and implementation advice that will make the transition into the laboratory as smooth as possible.

 

Authoritative and cutting edge, Process Simulation and Data Modeling in Solid Oral Drug Development and Manufacture seeks to promote research into process systems methodologies and their application in pharmaceutical product and process development, which will undoubtedly become an increasingly important area in the future.

Keywords

Data-based models Drug product development Informatics Novel sensing techniques Pharmaceutical engineering Pharmaceutical manufacturing Quality by Design (QbD) Solid dosage forms

Editors and affiliations

  • Marianthi G. Ierapetritou
    • 1
  • Rohit Ramachandran
    • 2
  1. 1.Rutgers UniversityPiscatawayUSA
  2. 2.Rutgers UniversityPiscatawayUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-2996-2
  • Copyright Information Springer Science+Business Media New York 2016
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-2995-5
  • Online ISBN 978-1-4939-2996-2
  • Series Print ISSN 1557-2153
  • Series Online ISSN 1940-6053
  • Buy this book on publisher's site