Design of experiments for chemical, pharmaceutical, food, and industrial applications

"This book seeks to increase the use of design of experiments to optimize and improve analytical methods and productive processes in order to use less resources and time"--

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Bibliographic Details
Other Authors Carrillo-Cedillo, Eugenia Gabriela, 1966- (Editor)
Format Electronic eBook
LanguageEnglish
Published Hershey, PA : Engineering Science Reference, an imprint of IGI Global, [2020]
SeriesAdvances in chemical and materials engineering (ACME) book series.
Subjects
Experimental design.
elektronické knihy
electronic books
Online AccessFull text
ISBN179981520X
9781799815204
9781799815181
9781799815198
1523128895
9781523128891
9781799815211
1799815218
Physical Description1 online resource

Cover

Table of Contents:
  • Title Page
  • Copyright Page
  • Book Series
  • Table of Contents
  • Detailed Table of Contents
  • Foreword
  • Preface
  • Acknowledgment
  • Section 1: Chemical
  • Chapter 1: Design of Experiments in an Electrochemical Process
  • Chapter 2: Design of Experiments to Optimize Soxhlet-HTP Method to Establish Environmental Diagnostics of Polluted Soil
  • Chapter 3: Design of Experiments for Evaluation of Variables Involved in the Removal of Heavy Metal Ions From Water Using Agro-Industrial Waste-Based Adsorbents
  • Chapter 4: Application of Design of Experiments in Biofuel Production
  • Chapter 5: The Role of Multivariant Analysis on the Interpretation of FTIR and Raman Spectra
  • Section 2: Pharmaceutical
  • Chapter 6: Optimizing the Size of Drug-Loaded Nanoparticles Using Design of Experiments
  • Chapter 7: Advantages, Disadvantages, and Future Trends on the Use of Design of Experiments in Cross-Over Trials in Nutritional Clinical Investigation
  • Section 3: Food
  • Chapter 8: Optimization of a Spectrophotometric Flow Injection
  • Chapter 9: An Overview of the Design of Experiment Workflow
  • Chapter 10: Temperature Effects on the Physicochemical Properties and Composition of Fatty Acids in the Oil of Chia Seeds
  • Section 4: Industrial Applications
  • Chapter 11: Optimization of Injection Molding Process Parameters via Design of Experiments
  • Chapter 12: The Design of Experiments as a Methodological Framework for the Improvement of Manufacturing Processes
  • Section 5: Diverse Applications
  • Chapter 13: Two-Level Factorial Designs
  • Chapter 14: Application of the Simultaneous Perturbation Stochastic Approximation Algorithm for Process Optimization
  • Chapter 15: Design of Experiments in Engineering Education
  • Glossary
  • Compilation of References
  • About the Contributors
  • Index

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