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Model driven design for integrated twin screw granulator and fluid bed dryer via flowsheet modelling.
Wang, Li Ge; Omar, Chalak; Litster, James; Slade, David; Li, Jianfeng; Salman, Agba; Bellinghausen, Stefan; Barrasso, Dana; Mitchell, Niall.
Afiliação
  • Wang LG; Siemens Process Systems Engineering, Hammersmith, London, UK; Department of Chemical and Biological Engineering, University of Sheffield, UK.
  • Omar C; Department of Chemical and Biological Engineering, University of Sheffield, UK.
  • Litster J; Department of Chemical and Biological Engineering, University of Sheffield, UK. Electronic address: James.Litster@sheffield.ac.uk.
  • Slade D; Siemens Process Systems Engineering, Hammersmith, London, UK.
  • Li J; Siemens Process Systems Engineering, Parsippany, NJ, USA.
  • Salman A; Department of Chemical and Biological Engineering, University of Sheffield, UK.
  • Bellinghausen S; Siemens Process Systems Engineering, Hammersmith, London, UK.
  • Barrasso D; Siemens Process Systems Engineering, Hammersmith, London, UK.
  • Mitchell N; Siemens Process Systems Engineering, Hammersmith, London, UK.
Int J Pharm ; 628: 122186, 2022 Nov 25.
Article em En | MEDLINE | ID: mdl-36130681
ABSTRACT
This paper presents a flowsheet modelling of an integrated twin screw granulation (TSG) and fluid bed dryer (FBD) process using a Model Driven Design (MDD) approach. The MDD approach is featured by appropriate process models and efficient model calibration workflow to ensure the product quality. The design space exploration is driven by the physics of the process instead of extensive experimental trials. By means of MDD, the mechanistic-based process kernels are first defined for the TSG and FBD processes. With the awareness of the underlying physics, the complementary experiments are carried out with relevance to the kinetic parameters in the defined models. As a result, the experiments are specifically purposeful for model calibration and validation. The L/S ratio (liquid to solid ratio) and inlet air temperature are selected as the Critical Process Parameters (CPPs) in TSG and FBD for model validation, respectively. Global System Analysis (GSA) is further performed to assess the uncertainty of CPPs imposed on the Critical Quality Attributes (CQAs), which provides significant insights to the exploration of the design space considering both TSG and FBD process parameters.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tecnologia Farmacêutica Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tecnologia Farmacêutica Idioma: En Ano de publicação: 2022 Tipo de documento: Article