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Abstract
Pharmaceutical cocrystals are highly interesting due to their effect on physicochemical properties and their role in separation technologies, particularly for chiral molecules. Detection of new cocrystals is a challenge, and robust screening methods are required. As numerous techniques exist that differ in their crystallization mechanisms, their efficiencies depend on the coformers investigated. The most important parameters characterizing the methods are the (a) screenable coformer fraction, (b) coformer success rate, (c) ability to give several cocrystals per successful coformer, (d) identification of new stable phases, and (e) experimental convenience. Based on these parameters, we compare and quantify the performance of three methods: liquid-assisted grinding, solvent evaporation, and saturation temperature measurements of mixtures. These methods were used to screen 30 molecules, predicted by a network-based link prediction algorithm (described in Cryst. Growth Des. 2021, 21(6), 3428-3437) as potential coformers for the target molecule praziquantel. The solvent evaporation method presented more drawbacks than advantages, liquid-assisted grinding emerged as the most successful and the quickest, while saturation temperature measurements provided equally good results in a slower route yielding additional solubility information relevant for future screenings, single-crystal growth, and cocrystal production processes. Seventeen cocrystals were found, with 14 showing stability and 12 structures resolved.
Original language | English |
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Pages (from-to) | 5511-5525 |
Number of pages | 15 |
Journal | Crystal Growth and Design |
Volume | 22 |
Issue number | 9 |
Early online date | 25 Aug 2022 |
DOIs | |
Publication status | Published - 7 Sept 2022 |
Keywords
- cocrystals
- detection
- separation technqiues
- chiral molecules
- coformer success rate
- Praziquantel
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- 1 Finished
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CMAC - EPSRC Centre for Innovative Manufacturing for Continuous Manufacturing and Crystallisation
Florence, A., Bititci, U., Halbert, G., Littlejohn, D. & Sefcik, J.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/11 → 31/12/16
Project: Research
Datasets
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Data for: "Comparing and quantifying the efficiency of cocrystal screening methods for Praziquantel"
Charpentier, M. (Creator), Devogelaer, J. (Contributor), Tijink, A. (Contributor), Meekes, H. (Supervisor), Tinnemans, P. (Contributor), Vlieg, E. (Supervisor), de Gelder, R. (Supervisor), Johnston, K. (Supervisor) & Ter Horst, J. (Supervisor), University of Strathclyde, 16 Aug 2022
DOI: 10.15129/501763a1-4a33-4a3e-999a-84faba625cd0
Dataset