Book description
Strategies for Formulations Development: A Step-by-Step Guide Using JMP is based on the authors' significant practical experience partnering with scientists to develop strategies to accelerate the formulation (mixtures) development process. The authors not only explain the most important methods used to design and analyze formulation experiments, but they also present overall strategies to enhance both the efficiency and effectiveness of the development process.With this book you will be able to:
- Approach the development process from a strategic viewpoint with the overall end result in mind.
- Design screening experiments to identify components that are most important to the performance of the formulation.
- Design optimization experiments to identify the maximum response in the design space.
- Analyze both screening and optimization experiments using graphical and numerical methods.
- Optimize multiple criteria, such as the quality, cost, and performance of product formulations.
- Design and analyze formulation studies that involve both formulation components and process variables using methods that reduce the required experimentation by up to 50%.
Strategies for Formulations Development: A Step-by-Step Guide Using JMP(R) is unique because it provides formulation scientists with the essential information they need in order to successfully conduct formulation studies in the chemical, biotech, and pharmaceutical industries.
Table of contents
- Preface
- About This Book
- About These Authors
- Part 1: Fundamentals
- Chapter 1 Introduction to Formulations Development
- Overview
- 1.1 Examples of Formulations
- 1.2 How Formulation Experiments are Different
- 1.3 Formulation Case Studies
- 1.4 Summary and Looking Forward
- 1.5 References
- Chapter 2 Basics of Experimentation and Response Surface Methodology
- Overview
- 2.1 Fundamentals of Good Experimentation
- 2.2 Diagnosis of the Experimental Environment
- 2.3 Experimentation Strategy and the Evolution of the Experimental Environment
- 2.4 Roadmap for Experimenting with Formulations
- Part 2: Design and Analysis of Formulation Experiments
- Chapter 3 – Experimental Designs for Formulations
- Overview
- 3.1 Geometry of the Experimental Region
- 3.2 Basic Simplex Designs
- 3.3 Screening Designs
- 3.4 Response Surface Designs
- 3.5 Summary and Looking Forward
- 3.6 References
- Chapter 4 – Modeling Formulation Data
- Overview
- 4.1 The Model Building Process
- 4.2 Summary Statistics and Basic Plots
- 4.3 Basic Formulation Models and Interpretation of Coefficients
- 4.4 Model Evaluation and Criticism
- 4.5 Residual Analysis
- 4.6 Transformation of Variables
- 4.7 Models with More Than Three Components
- 4.8 Summary and Looking Forward
- 4.9 References
- Chapter 5 – Screening Formulation Components
- Overview
- 5.1 Purpose of Screening Experiments
- 5.2 Screening Concepts for Formulations
- 5.3 Simplex Screening Designs
- 5.4 Graphical Analysis of Simplex-Screening Designs
- 5.5 After the Screening Design
- 5.6 Estimation of the Experimental Variation
- 5.7 Summary and Looking Forward
- 5.8 References
- Part 3: Experimenting With Constrained Systems
- Chapter 6 – Experiments with Single and Multiple Component Constraints
- Overview
- 6.1 Component Constraints
- 6.2 Components with Lower Bounds
- 6.3 Three-Component Example
- 6.4 Computation of the Extreme Vertices
- 6.5 Midpoints of Long Edges
- 6.6 Sustained Release Tablet Development - Three Components
- 6.7 Four-Component Flare Experiment
- 6.8 Graphical Display of a Four-Component Formulation Space
- 6.9 Identification of Clusters of Vertices
- 6.10 Construction of Extreme Vertices Designs for Quadratic Formulation Models
- 6.11 Designs for Formulation Systems with Multicomponent Constraints
- 6.12 Sustained Release Tablet Formulation Study
- 6.13 Summary and Looking Forward
- 6.14 References
- Chapter 7 – Screening Constrained Formulation Systems
- Overview
- 7.1 Strategy for Screening Formulations
- 7.2 A Formulation Screening Case Study
- 7.3 Blending Model and Design Considerations
- 7.4 Analysis: Estimation of Component Effects
- 7.5 Formulation Robustness
- 7.6 XVERT Algorithm for Computing Subsets of Extreme Vertices
- 7.7 Summary and Looking Forward
- 7.8 References
- Chapter 8 – Response Surface Modeling With Constrained Systems
- Overview
- 8.1 Design and Analysis Strategy for Response Surface Methodology
- 8.2 Plastic Part Optimization Study
- 8.3 Quadratic Blending Model Design Considerations
- 8.4 Example – Plastic Part Formulation
- 8.5 Example – Glass Formulation Optimization
- 8.6 Using the XVERT Algorithm to Create Designs for Quadratic Models
- 8.7 How to Use Computer-Aided Design of Experiments
- 8.8 Using JMP Custom Design
- 8.9 Blocking Formulation Experiments
- 8.10 Summary and Looking Forward
- 8.11 References
- Part 4: Further Extensions
- Chapter 9 - Experiments Involving Formulation and Process Variables
- Overview
- 9.1 Introduction
- 9.2 Additive and Interactive Models
- 9.3 Designs for Formulations with Process Variables
- 9.4 The Option of Non-Linear Models
- 9.5 A Recommended Strategy
- 9.6 An Illustration Using the Fish Patty Data
- 9.7 Summary and Looking Forward
- 9.8 References
- Chapter 10 – Additional and Advanced Topics
- Overview
- 10.1 Model Simplification
- 10.2 More Advanced Model Forms
- 10.3 Response Optimization
- 10.4 Handling Multiple Responses
- 10.5 Multicollinearity in Formulation Models
- 10.6 Summary
- 10.7 References
- Index
Product information
- Title: Strategies for Formulations Development
- Author(s):
- Release date: September 2016
- Publisher(s): SAS Institute
- ISBN: 9781629605302
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