Enabling model-predictive design : rapid development of a PBM for an anti-solvent and cooling crystallisation in two different reactor geometries

Ojo, E. and Siddique, H. and Houson, I. and Brown, C. and O'Meahdra, R. and Berthold, S. and Florence, A. (2019) Enabling model-predictive design : rapid development of a PBM for an anti-solvent and cooling crystallisation in two different reactor geometries. In: American Association of Pharmaceutical Scientists PharmSci 360, 2019, 2019-11-03 - 2019-11-07.

[thumbnail of Ojo-etal-AAPS-2019-Enabling-model-predictive-design-rapid-development]
Preview
 Text. Filename: Ojo_etal_AAPS_2019_Enabling_model_predictive_design_rapid_development.pdf
Final Published Version
Download (1MB)| Preview

Abstract

The study aimed to develop a rapid model using gProms Formulated Products for a proprietary single polymorph active pharmaceutical ingredient (API) crystallisation at small scale for early process understanding. The model outcomes are then later used to inform the experimental design of continuous crystallisation for multi-addition antisolvent and cooling crystallization in both continuous oscillatory baffled reactor (COBC) and mixed-suspension and mixed- product removal (MSMPR) crystalliser

ORCID iDs

Ojo, E. ORCID logoORCID: https://orcid.org/0000-0001-9087-4358, Siddique, H. ORCID logoORCID: https://orcid.org/0000-0002-0770-7362, Houson, I., Brown, C. ORCID logoORCID: https://orcid.org/0000-0001-7091-1721, O'Meahdra, R., Berthold, S. and Florence, A. ORCID logoORCID: https://orcid.org/0000-0002-9706-8364;
CORE (COnnecting REpositories)