Identification of stabilizing excipients for a formulation based on intermolecular interaction predictions.
Easy and scientific decision on the best enabling formulation technique (lipid-based formulation, co-amorphous formulation, ASD, …)
The ranking above shows that fenofibrate is best stabilized by lipids (lipid-based formulations), piroxicam is best stabilized by amino acids (so-called co-amorphous formulations) and polymers (so-called amorphous solid dispersions).
In-silico polymer screenings
Scientifically sound formulation descisions are possible! Determine the best stabilizing polymer for your individual amorphous solid dispersion.
The obtained rankings (as shown below) are full in-silico predictions and do not require additional experiments.
The ranking reveals:
- Itraconazole is best stabilized by HPMCAS, HPMC-E5 and HPMCP-HP55
- Ritonavir is best stabilized by PVP, PVPVA64 and PEG
- Piroxicam is best stabilized by PVP, PVPVA64 and PEG
The best stabilizing polymer differs from API to API. All potentially availabe polymeric excipients for ASD generation can be considered.
Validation measurements are available.
Water uptake during storage at ICH storage conditions can never be completely prevented.
We predict the impact of any temperature/humidity storage condition on your formulation:
How much water will be absorbed by the ASD? This question is answered at any temperature/drug load/ humidity condition.
Absorbed water decreases the Tg of the formulation (so-called wet Tg) and thus impacts shelf life or processing. We know it!
The crystallization regime in a formulation increases: Equilibria are strongly changing with humidity and also the
Water acts as plasticizer in formulations. Molecular mobility and thus diffusivity increases. Our tools quantify this impact.
The crystalline form might convert from free base to hydrates or salt hydrates. This is covered by our model!
Formulations containing hydrophilic polymers and hydrophobic drugs tend to phase separate at elevated humidity. This is experimentally hard to detect but impacts strongy dissolution and shelf life. We predict the conditions for preventing this.
Apart from chemical degradation, the occurence of unwanted crystallization during a storage test occurs unexpectedly and threatens the formulation project.
With our shelf-life predictions, it is clear from the beginning on which formulation will crystallize and also in which period of time.
The complex interplay of the following factors is considered by our approach:
Molecular mobility is predicted as function of drug load and water content
Degree of supersaturation and water content is predicted with thermodynamic tools
Glass transition (water-free formulation and wet Tg) predetermines the mobility model
Nucleation, crystal growth, crystal habit and glass-forming ability are characterized individually for each drug
The individual manufacturing process impacts the stability of a formulation – we account for this influence.