Project Details
Description
As an expert in isolation and purification of active pharmaceutical ingredients (API) and an established experimentalist, during the COVID lockdown I took the opportunity to extend my research skill set to include process modelling. In-silico research is becoming an essential tool for designing manufacturing process operations with the objective of reducing R&D time and minimizing waste production. In order to advance my research and academic career I plan to expand my expertise in process modelling to become a future leader in isolation and purification combining modelling with experimentation.
PSE is the supplier of the world leading Advanced Process Modelling Platform, gPROMS, they are leading innovators in digital design services for the process industries, in particular for the pharmaceutical sector. Their existing isolation model address filtration in a relatively simplistic way compared to some of their other tools and does not currently predict washing, deliquoring, and drying outcomes.
The VisNet Fellowship will allow me to collaborate with PSE helping me to become an expert gPROMS user, able to build new isolation prediction tools and be a platform for translation to industry, to advance my research and academic career.
PSE is the supplier of the world leading Advanced Process Modelling Platform, gPROMS, they are leading innovators in digital design services for the process industries, in particular for the pharmaceutical sector. Their existing isolation model address filtration in a relatively simplistic way compared to some of their other tools and does not currently predict washing, deliquoring, and drying outcomes.
The VisNet Fellowship will allow me to collaborate with PSE helping me to become an expert gPROMS user, able to build new isolation prediction tools and be a platform for translation to industry, to advance my research and academic career.
| Status | Finished |
|---|---|
| Effective start/end date | 1/02/21 → 30/04/21 |
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Digital design of filtration and washing of active pharmaceutical ingredients via mechanistic modelling
Ottoboni, S., Brown, C. J., Mehta, B., Jimeno, G., Mitchell, N. A., Sefcik, J. & Price, C. J., 6 Dec 2022, (E-pub ahead of print) In: Organic Process Research and Development. 26, 12, p. 3236-3253 18 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Link opens in a new tab Citations (Scopus)195 Downloads (Pure) -
Impurity removal during filtration and washing – a mechanistic modelling approach
Ottoboni, S., Mehta, B., Gramadnikova, E., Brown, C. & Mitchell, N., 9 Oct 2022.Research output: Contribution to conference › Paper
Open AccessFile37 Downloads (Pure) -
Integrated filtration and washing modelling of active pharmaceutical ingredients and impurities
Ottoboni, S., Mehta, B. A., Gramadnikova, E., Brown, C. J. & Mitchell, N. A., 9 Oct 2022. 15 p.Research output: Contribution to conference › Paper › peer-review
14 Downloads (Pure)
Datasets
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Digital design of filtration and washing of active pharmaceutical ingredients via mechanistic modelling
Ottoboni, S. (Creator), Price, C. J. (Supervisor), Sefcik, J. (Supervisor), Brown, C. (Contributor), Mehta, B. (Contributor), Mitchell, N. (Contributor) & Jimeno, G. (Other), University of Strathclyde, 21 Nov 2022
DOI: 10.15129/1300f5c6-c57f-4f19-bffb-f716ca694aa9
Dataset