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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Last update 28 September 2023