The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Toward a More Holistic Framework for Solvent Selection
Open accessAbstract
Abstract An interactive tool has been developed to facilitate solvent selection, allowing consideration of chemical functionality, physical properties, regulatory concerns, and safety/health/environmental (SHE) impact. Appropriate solvents can be identified prior to screening experiments, and less desirable solvents can be replaced in established processes. Once a shortlist has been identified, the data can define experimental programs or else be exported to a molecular properties prediction tool to assess suitability through, e.g., solubility and partitioning.
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Cites
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Cited by
Green and sustainable solvents in chemical processes
Clarke, C. J., Tu, W.-C., Levers, O., Bröhl, A., & Hallett, J. P. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00571 · Cited by 2,071
Updating and further expanding GSK's solvent sustainability guide
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C–H Activation: Toward Sustainability and Applications
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The green solvent: a critical perspective
Winterton, N. (2021) · Clean Technologies and Environmental Policy · doi:10.1007/s10098-021-02188-8 · Cited by 307
Metadata
- Authors
- Diorazio, L. J., Hose, D. R. J., & Adlington, N. K.
- Venue
- Organic Process Research & Development
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-03-14
- Volume
- 20
- Issue
- 4
- Pages
- 760-773
- ISSN
- 1083-6160 (ISSN-L)
- 1520-586X
- OpenAlex
- W2293408341
- Cited by
- 320
- References
- 20
- FWCI
- 13.38
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Diorazio, L. J., Hose, D. R. J., & Adlington, N. K. (2016). Toward a More Holistic Framework for Solvent Selection. Organic Process Research & Development. https://doi.org/10.1021/acs.oprd.6b00015
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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.
