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Cited by 604

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The importance of Green Chemistry in Process Research and Development

Dunn, Peter J.·2012·Chem. Soc. Rev.

Abstract

Green Chemistry or Sustainable Chemistry is defined by the Environmental Protection Agency as "the design of chemical products that reduce or eliminate the use of hazardous substances" In recent years there is a greater societal expectation that chemists and chemical engineers should produce greener and more sustainable chemical processes and it is likely that this trend will continue to grow over the next few decades. This tutorial review gives information on solvents and solvent selection, basic environmental metrics collection and three industrial case histories. All three case histories involve enzymatic chemistry. Pregabalin (Lyrica®) is produced using a lipase based resolution and is extremely unusual in that all four manufacturing steps to make pregabalin are performed in water. Sitagliptin (Januvia®) uses a transaminase in the final chemical step. Finally a rosuvastatin (Crestor®) intermediate is produced using a deoxy ribose aldolase (DERA) enzyme in which two carbon-carbon bonds and two chiral centres are formed in the same process step.

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Crossref · 10.1039/c1cs15041c

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Metadata

Authors
Dunn, P. J.
Venue
Chem. Soc. Rev.
Published
2012
Volume
41
Issue
4
Pages
1452-1461
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W1985115408
Cited by
604
References
2
FWCI
2.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The importance of Green Chemistry in Process Research and Development. https://app.cochat.ai/papers/10.1039/c1cs15041c
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Dunn, P. J. (2012). The importance of Green Chemistry in Process Research and Development. Chem. Soc. Rev. https://doi.org/10.1039/c1cs15041c

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.