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Multiple linear regression models as support tools in formulation development of solid dispersions
- At: 2017 FIP Congress in Stockholm (Sweden)
- Type: Poster
- 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
BackgroundsSolid dispersions are a well known formulation strategy to improve drug solubility.
AimsBuilding 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.
Three polymers.. The access to the whole abstract and the presentation file is available to FIP members and to congress participants of that specific congress.
Last update 4 October 2019