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Computational Predictive Models Applied to Scale-up of Solid Oral Drug Products

  • Type:
    Conference Presentation
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    AIChE Member Credits 0.5
    AIChE Members $15.00
    AIChE Graduate Student Members Free
    AIChE Undergraduate Student Members Free
    Non-Members $25.00
  • Conference Type:
    AIChE Annual Meeting
  • Presentation Date:
    November 10, 2010
  • Duration:
    30 minutes
  • Skill Level:
    Intermediate
  • PDHs:
    0.50

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The budget-restricted pharmaceutical environment is countered by the heightened expectations for drug products to be developed using science-based principles. These two opposing factors have created a crucial opportunity for engineering principles to be applied and implemented across the industry. In this presentation, modeling techniques applied to formulation and processing operations are discussed as support to the design, development, and scale-up for solid oral drug products. These process modeling techniques are discussed and exemplified with case studies ranging from raw material specifications and formulation property predictions to process parameter predictions. The major processing to produce tablets include i) powder processing; ii) dry and wet granulation; iii) tablet compression; and iv) film coating. Specific consideration has been given to transfer and scale-up issues along with general process design related challenges to pharmaceutical process R&D.

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Checkout

Checkout

Do you already own this?

Pricing


Individuals

AIChE Member Credits 0.5
AIChE Members $15.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
Non-Members $25.00
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