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

Weissman, Steven A.; Anderson, Neal G.

doi:10.1021/op500169m

Cited by 572

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

Weissman, Steven A., Anderson, Neal G.·2015·Organic Process Research & Development

DOI 10.1021/op500169m

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Abstract

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.

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Authors: Weissman, S. A., & Anderson, N. G.
Venue: Organic Process Research & Development
Publisher: American Chemical Society (ACS)
Published: 2014-08-29
Volume: 19
Issue: 11
Pages: 1605-1633
ISSN: 1083-6160 (ISSN-L)
1520-586X
DOI: 10.1021/op500169m
OpenAlex: W2045293316
Cited by: 572
References: 16
FWCI: 12.73
Type: journal article
Language: en
Open access: closed

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

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