Model-based optimization of the primary drying step
during freeze-drying

Séverine Thérèse F.C. Mortier; Pieter-Jan  Van Bockstal; Ingmar Nopens; Krist V. Gernaey; Thomas De Beer

doi:10.1016/B978-0-444-63576-1.50057-1

Model-based optimization of the primary drying step during freeze-drying

Séverine Thérèse F.C. Mortier
, Pieter-Jan Van Bockstal
, Ingmar Nopens
, Krist V. Gernaey
, Thomas De Beer

Department of Chemical and Biochemical Engineering

Ghent University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Since large molecules are considered the key driver for growth of the pharmaceutical industry, the focus of the pharmaceutical industry is shifting from small molecules to biopharmaceuticals: around 50% of the approved biopharmaceuticals are freeze-dried products. Therefore, freeze- drying is an important technology to stabilise biopharmaceutical drug products which are unstable in an aqueous solution. However, the freeze-drying process is an energy and time-consuming process. The use of mechanistic modelling to gather process knowledge can assist in optimisation of the process parameters during the operation of the freeze-drying process. By applying a dynamic shelf temperature and chamber pressure, which are the only controllable process variables, the processing time can be decreased by a factor 2 to 3.

Original language	English
Title of host publication	Proceedings of the 25th European Symposium on Computer Aided Process Engineering
Editors	Krist V. Gernaey, Jakob K. Huusom, Rafiqul Gani
Volume	37
Publisher	Elsevier
Publication date	2015
Pages	2177–2182
DOIs	https://doi.org/10.1016/B978-0-444-63576-1.50057-1
Publication status	Published - 2015
Event	25th European Symposium on Computer Aided Process Engineering : 12th International Symposium on Process Systems Engineering - Copenhagen, Denmark Duration: 31 May 2015 → 4 Jun 2015 http://www.pse2015escape25.dk/

Conference

Conference	25th European Symposium on Computer Aided Process Engineering
Country/Territory	Denmark
City	Copenhagen
Period	31/05/2015 → 04/06/2015
Internet address	http://www.pse2015escape25.dk/

Series	Computer Aided Chemical Engineering
ISSN	1570-7946

Keywords

Dynamic Design Space
Modelling
Optimization
Pharmaceuticals

Access to Document

10.1016/B978-0-444-63576-1.50057-1

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Cite this

Mortier, S. T. F. C., Van Bockstal, P.-J., Nopens, I., Gernaey, K. V., & De Beer, T. (2015). Model-based optimization of the primary drying step during freeze-drying. In K. V. Gernaey, J. K. Huusom, & R. Gani (Eds.), Proceedings of the 25th European Symposium on Computer Aided Process Engineering (Vol. 37, pp. 2177–2182). Elsevier. https://doi.org/10.1016/B978-0-444-63576-1.50057-1

Mortier, Séverine Thérèse F.C. ; Van Bockstal, Pieter-Jan ; Nopens, Ingmar et al. / Model-based optimization of the primary drying step during freeze-drying. Proceedings of the 25th European Symposium on Computer Aided Process Engineering . editor / Krist V. Gernaey ; Jakob K. Huusom ; Rafiqul Gani. Vol. 37 Elsevier, 2015. pp. 2177–2182 (Computer Aided Chemical Engineering).

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title = "Model-based optimization of the primary drying step during freeze-drying",

abstract = "Since large molecules are considered the key driver for growth of the pharmaceutical industry, the focus of the pharmaceutical industry is shifting from small molecules to biopharmaceuticals: around 50\% of the approved biopharmaceuticals are freeze-dried products. Therefore, freeze- drying is an important technology to stabilise biopharmaceutical drug products which are unstable in an aqueous solution. However, the freeze-drying process is an energy and time-consuming process. The use of mechanistic modelling to gather process knowledge can assist in optimisation of the process parameters during the operation of the freeze-drying process. By applying a dynamic shelf temperature and chamber pressure, which are the only controllable process variables, the processing time can be decreased by a factor 2 to 3.",

keywords = "Dynamic Design Space, Modelling, Optimization, Pharmaceuticals",

author = "Mortier, \{S{\'e}verine Th{\'e}r{\`e}se F.C.\} and \{Van Bockstal\}, Pieter-Jan and Ingmar Nopens and Gernaey, \{Krist V.\} and \{De Beer\}, Thomas",

year = "2015",

doi = "10.1016/B978-0-444-63576-1.50057-1",

language = "English",

volume = "37",

series = "Computer Aided Chemical Engineering",

publisher = "Elsevier",

pages = "2177–2182",

editor = "Gernaey, \{Krist V. \} and \{ Huusom\}, \{Jakob K.\} and Gani, \{ Rafiqul \}",

booktitle = "Proceedings of the 25th European Symposium on Computer Aided Process Engineering",

address = "United Kingdom",

note = "25th European Symposium on Computer Aided Process Engineering : 12th International Symposium on Process Systems Engineering, PSE2015/ESCAPE25 ; Conference date: 31-05-2015 Through 04-06-2015",

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Mortier, STFC, Van Bockstal, P-J, Nopens, I, Gernaey, KV & De Beer, T 2015, Model-based optimization of the primary drying step during freeze-drying. in KV Gernaey, JK Huusom & R Gani (eds), Proceedings of the 25th European Symposium on Computer Aided Process Engineering . vol. 37, Elsevier, Computer Aided Chemical Engineering, pp. 2177–2182, 25th European Symposium on Computer Aided Process Engineering , Copenhagen, Denmark, 31/05/2015. https://doi.org/10.1016/B978-0-444-63576-1.50057-1

Model-based optimization of the primary drying step during freeze-drying. / Mortier, Séverine Thérèse F.C.; Van Bockstal, Pieter-Jan ; Nopens, Ingmar et al.
Proceedings of the 25th European Symposium on Computer Aided Process Engineering . ed. / Krist V. Gernaey; Jakob K. Huusom; Rafiqul Gani. Vol. 37 Elsevier, 2015. p. 2177–2182 (Computer Aided Chemical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Mortier, Séverine Thérèse F.C.

AU - Van Bockstal, Pieter-Jan

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AU - De Beer, Thomas

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N2 - Since large molecules are considered the key driver for growth of the pharmaceutical industry, the focus of the pharmaceutical industry is shifting from small molecules to biopharmaceuticals: around 50% of the approved biopharmaceuticals are freeze-dried products. Therefore, freeze- drying is an important technology to stabilise biopharmaceutical drug products which are unstable in an aqueous solution. However, the freeze-drying process is an energy and time-consuming process. The use of mechanistic modelling to gather process knowledge can assist in optimisation of the process parameters during the operation of the freeze-drying process. By applying a dynamic shelf temperature and chamber pressure, which are the only controllable process variables, the processing time can be decreased by a factor 2 to 3.

AB - Since large molecules are considered the key driver for growth of the pharmaceutical industry, the focus of the pharmaceutical industry is shifting from small molecules to biopharmaceuticals: around 50% of the approved biopharmaceuticals are freeze-dried products. Therefore, freeze- drying is an important technology to stabilise biopharmaceutical drug products which are unstable in an aqueous solution. However, the freeze-drying process is an energy and time-consuming process. The use of mechanistic modelling to gather process knowledge can assist in optimisation of the process parameters during the operation of the freeze-drying process. By applying a dynamic shelf temperature and chamber pressure, which are the only controllable process variables, the processing time can be decreased by a factor 2 to 3.

KW - Dynamic Design Space

KW - Modelling

KW - Optimization

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DO - 10.1016/B978-0-444-63576-1.50057-1

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BT - Proceedings of the 25th European Symposium on Computer Aided Process Engineering

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Mortier STFC, Van Bockstal PJ, Nopens I, Gernaey KV, De Beer T. Model-based optimization of the primary drying step during freeze-drying. In Gernaey KV, Huusom JK, Gani R, editors, Proceedings of the 25th European Symposium on Computer Aided Process Engineering . Vol. 37. Elsevier. 2015. p. 2177–2182. (Computer Aided Chemical Engineering). doi: 10.1016/B978-0-444-63576-1.50057-1