A Digital Workflow Supporting the Selection of Solvents for Optimizing the Crystallizability of p-Aminobenzoic Acid
Author:
Affiliation:
1. Centre for the Digital Design of Drug Products, School of Chemical and Process Engineering, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, U.K.
Funder
Engineering and Physical Sciences Research Council
Advanced Manufacturing Supply Chain Initiative
Publisher
American Chemical Society (ACS)
Subject
Organic Chemistry,Physical and Theoretical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.oprd.9b00261
Reference50 articles.
1. Concerning the crystal morphologies of the α and β polymorphs of p-aminobenzoic acid
2. Towards an understanding of the nucleation of alpha-para amino benzoic acid from ethanolic solutions: a multi-scale approach
3. Maier, J. Made Smarter Review 2017; 2017, https://www.gov.uk/government/publications/made-smarter-review.
4. Prediction of aqueous solubility of drugs and pesticides with COSMO-RS
5. Prediction of the mutual solubilities of hydrocarbons and water with COSMO-RS
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