The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Pharmaceutical Processing with Supercritical Carbon Dioxide
Abstract
Replacement of traditional solvents with "environmentally benign" carbon dioxide is receiving increased attention in pharmaceutical processing. Among the reported applications, particle formation with dense carbon dioxide and the "clean" synthesis of drug compounds using carbon dioxide as a reaction medium hold immense potential for large-scale application in the pharmaceutical industry. This paper provides an overview of these rapidly emerging technologies along with examples of the wide variety of relatively contaminant-free pharmaceutical compounds that have been processed via these technologies on a laboratory scale. Challenges facing successful implementation in practice include demonstration of continuous production and harvesting of particles with desired and reproducible product characteristics. Mathematical models aimed at a better fundamental understanding of the underlying thermophysical phenomena are essential for rational design and scale-up of these technologies.
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Citations
Cites
Supercritical Fluid Extraction
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Design of Nonionic Surfactants for Supercritical Carbon Dioxide
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Precipitation of Proteins in Supercritical Carbon Dioxide
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Cited by
Polar Attributes of Supercritical Carbon Dioxide
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Metadata
- Authors
- Subramaniam, B., Rajewski, R. A., & Snavely, K.
- Venue
- Journal of Pharmaceutical Sciences
- Publisher
- American Geophysical Union (AGU)
- Published
- 1997-08
- Volume
- 86
- Issue
- 8
- Pages
- 885-890
- ISSN
- 0022-3549 (ISSN-L)
- OpenAlex
- W2058979628
- Cited by
- 444
- References
- 16
- FWCI
- 9.64
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
