Multiple linear regression models as support tools in formulation development of solid dispersions

• In: Poster Presentation
• At: Stockholm (Sweden) (2017)
• Type: Poster
• Poster code: P-C-020-Monday
• By: FRIDGEIRSDOTTIR, Gudrun (University of Nottingham, School of Pharmacy, Nottingham, United Kingdom)
• Co-author(s): Gudrun Andrea Fridgeirsdottir: School of Pharmacy, University of Nottingham, Nottingham, United Kingdom
  Rob Harris: Juniper Pharma Services, Nottingham, United Kingdom
  Peter Fischer: School of Pharmacy, University of Nottingham, Nottingham, United Kingdom
  Clive Roberts: School of Pharmacy, University of Nottingham, Nottingham, United Kingdom
  
• Abstract:

  Backgrounds

  Solid dispersions are a well known formulation strategy to improve drug solubility.

  Aims

  Building statistical models that can predicted the stability of a binary solid dispersion. These models can be used to indicate which polymer and processing method is most likely to give a stable solid dispersion for a new drug.

  Methods

  Three polymers

  ..

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