Details

Title: Advances in chemical and materials engineering (ACME) book series. Design of experiments for chemical, pharmaceutical, food, and industrial applications
Other creators: Carrillo-Cedillo Eugenia Gabriela
Collection: Электронные книги зарубежных издательств; Общая коллекция
Subjects: Experimental design.; EBSCO eBooks
Document type: Other
File type: PDF
Language: English
Rights: Доступ по паролю из сети Интернет (чтение, печать, копирование)
Record key: on1128887837

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"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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Table of Contents

  • Cover
  • 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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