Design of Experiments (DoE) and Process Optimization. A Review of Recent Publications

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• 作者：Steven A. Weissman ; Neal G. Anderson
• 刊名：Organic Process Research & Development
• 出版年：2015
• 出版时间：November 20, 2015
• 年：2015
• 卷：19
• 期：11
• 页码：1605-1633
• 全文大小：1579K
• ISSN：1520-586X

文摘

Statistical design of experiments (DoE) is a powerful tool for optimizing processes, and it has been used in many stages of API development. This review summarizes selected publications from Organic Process Research & Development using DoE to show how processes can be optimized efficiently and how DoE findings may be applied to scale-up.