Statistics is a key characteristic that assists a wide variety of professions including business, government, and factual sciences. Companies need data calculation to make informed decisions that help maintain their relevance. Design of experiments (DOE) is a set of active techniques that provides a more efficient approach for industries to test their processes and form effective conclusions. Experimental design can be implemented into multiple professions, and it is a necessity to promote applicable research on this up-and-coming method. Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications is a pivotal reference source that 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. While highlighting topics such as multivariate methods, factorial experiments, and pharmaceutical research, this publication is ideally designed for industrial designers, research scientists, chemical engineers, managers, academicians, and students seeking current research on advanced and multivariate statistics.
Author(s): Eugenia Gabriela Carrillo-Cedillo, José Antonio Rodríguez-Avila, Karina Cecilia Arredondo-Soto, José Manuel Cornejo-Bravo
Series: Advances in Chemical and Materials Engineering
Publisher: Engineering Science Reference
Year: 2019
Language: English
Pages: 460
City: Hershey
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
