Enhanced process development using automated continuous reactors by self-optimisation algorithms and statistical empirical modelling
| Autor: | Mohammed I. Jeraal, Geoffrey R. Akien, Richard A. Bourne, Nicholas Holmes |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Surface (mathematics)
Tandem 010405 organic chemistry Process development business.industry Chemistry Continuous reactor Organic Chemistry Condensation Empirical modelling 010402 general chemistry 01 natural sciences Biochemistry 0104 chemical sciences Variety (cybernetics) Drug Discovery Optimisation algorithm Process engineering business |
| ISSN: | 0040-4020 |
| Popis: | Reaction optimisation and understanding is fundamental for process development and is achieved using a variety of techniques. This paper explores the use of self-optimisation and experimental design as a tandem approach to reaction optimisation. A Claisen-Schmidt condensation was optimised using a branch and fit minimising algorithm, with the resulting data being used to fit a response surface model. The model was then applied to find new responses for different metrics, highlighting the most important for process development purposes. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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