<i>In silico</i> modeling enables greener analytical and preparative chromatographic methods
Environmental impact of chromatographic separation at both analytical and preparative scale can be significantly reduced using In Silico Modeling.
Authors
- Kevin Crossley
- Imad A. Haidar Ahmad (ORCID: https://orcid.org/0000-0002-3075-049X)
- Gabriel Mazzi Leme (ORCID: https://orcid.org/0000-0002-7082-4553)
- Daipayan Roy (ORCID: https://orcid.org/0000-0002-5924-2763)
- Troy T. Handlovic (ORCID: https://orcid.org/0000-0003-0460-0102)
- Muhammad Qamar Farooq (ORCID: https://orcid.org/0000-0003-0197-8636)
Institutions
- Amgen (United States) (US)
Publication Details
- Journal
- Green Chemistry
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1039/d4gc04300f
- Citations
- 4
- Primary Topic
- Chromatography in Natural Products
- Type
- article
- Field-Weighted Citation Impact
- 0.94