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

E. Ojo; H. Siddique; I. Houson; C. Brown; R. O'Meahdra; S. Berthold; A. Florence

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

E. Ojo, H. Siddique, I. Houson, C. Brown, R. O'Meahdra, S. Berthold, A. Florence

Research output: Contribution to conference › Poster › peer-review

36 Downloads (Pure)

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

Original language	English
Number of pages	1
Publication status	Published - 3 Nov 2019
Event	American Association of Pharmaceutical Scientists PharmSci 360, 2019 - San Antonio, United States Duration: 3 Nov 2019 → 7 Nov 2019

Conference

Conference	American Association of Pharmaceutical Scientists PharmSci 360, 2019
Abbreviated title	AAPS PharmSci 360, 2019
Country/Territory	United States
City	San Antonio
Period	3/11/19 → 7/11/19

Keywords

crystallisation
reactor geometries
continuous crystallisation

Access to Document

Ojo-etal-AAPS-2019-Enabling-model-predictive-design-rapid-developmentFinal published version, 1.53 MB

CMAC PDRA (year 2) Keddon Powell
Florence, A. (Principal Investigator)
Novartis Pharma AG
31/08/16 → 30/09/19
Project: Research

Cite this

Ojo, E., Siddique, H., Houson, I., Brown, C., O'Meahdra, R., Berthold, S., & Florence, A. (2019). Enabling model-predictive design: rapid development of a PBM for an anti-solvent and cooling crystallisation in two different reactor geometries. Poster session presented at American Association of Pharmaceutical Scientists PharmSci 360, 2019, San Antonio, Texas, United States.

@conference{5a4cbe6102e54b0aadc06f0f728ce003,

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

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 oscillatorybaffled reactor (COBC) and mixed-suspension and mixed- product removal (MSMPR) crystalliser",

keywords = "crystallisation, reactor geometries, continuous crystallisation",

author = "E. Ojo and H. Siddique and I. Houson and C. Brown and R. O'Meahdra and S. Berthold and A. Florence",

year = "2019",

month = nov,

day = "3",

language = "English",

note = "American Association of Pharmaceutical Scientists PharmSci 360, 2019, AAPS PharmSci 360, 2019 ; Conference date: 03-11-2019 Through 07-11-2019",

}

Enabling model-predictive design: rapid development of a PBM for an anti-solvent and cooling crystallisation in two different reactor geometries. / Ojo, E.; Siddique, H.; Houson, I. et al.
2019. Poster session presented at American Association of Pharmaceutical Scientists PharmSci 360, 2019, San Antonio, Texas, United States.

Research output: Contribution to conference › Poster › peer-review

TY - CONF

T1 - Enabling model-predictive design

T2 - American Association of Pharmaceutical Scientists PharmSci 360, 2019

AU - Ojo, E.

AU - Siddique, H.

AU - Houson, I.

AU - Brown, C.

AU - O'Meahdra, R.

AU - Berthold, S.

AU - Florence, A.

PY - 2019/11/3

Y1 - 2019/11/3

N2 - 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 oscillatorybaffled reactor (COBC) and mixed-suspension and mixed- product removal (MSMPR) crystalliser

AB - 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 oscillatorybaffled reactor (COBC) and mixed-suspension and mixed- product removal (MSMPR) crystalliser

KW - crystallisation

KW - reactor geometries

KW - continuous crystallisation

M3 - Poster

Y2 - 3 November 2019 through 7 November 2019

ER -

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

Abstract

Conference

Keywords

Access to Document

Fingerprint

Projects

CMAC PDRA (year 2) Keddon Powell

Cite this