Design and Optimization in Organic Synthesis

Front Cover
Elsevier, Nov 21, 1991 - Science - 552 pages
This is the first general textbook on experimental design and optimization in organic synthesis. The book presents a unified methodology for carrying out systematic studies when the objective is to develop efficient and optimum synthetic methods. Strategies are included both for exploring the experimental conditions and for systematic studies of entire reaction systems (substrates, reagent(s) and solvents). The methodology is based on multivariate statistical techniques.


The following topics are treated in depth: classical two-level designs for screening experiments, gradient methods (steepest ascent, simplex methods) as well as response surface techniques for optimization, principal components analysis and PLS modelling.


The book is intended as a hands-on text for chemists and engineers engaged in developing synthetic methods in industrial research, e.g. in fine chemicals and pharmaceuticals production, as well as for advanced undergraduate students, graduate students, and researchers in an academic environment.

 

Contents

Foreword
1
Strategies on different levels in organic synthesis
5
CHChapter 2 Experimental study of reaction conditions Initial remarks
19
CHChapter 3 Models as tools
31
CHChapter 4 General outline for screening experiments
75
CHChapter 5 Twolevel factorial designs
89
CHChapter 6 Twolevel fractional factorial design
123
CHChapter 7 Other designs for screening experiments
179
CHChapter 11 Simplex methods
225
CHChapter 12 Response surface methods
249
CHChapter 13 Summary of strategies to explore the experimental space
325
CHChapter 14 The Reaction space
331
CHChapter 15 Principal properties
337
CHChapter 16 Strategies for the selection of test systems
429
CHChapter 17 Quantitative relations between observed responses and experimental variations
451
CHChapter 18 A method for determining a suitable order of introducing reagents in onepot procedures
493

CHChapter 8 Summary of screening experiments
201
CHChapter 9 Introduction to optimization
207
CHChapter 10 Steepest ascent
211
CHChapter 19 Concluding remarks
499
IDXIndex
531
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