pre-formulation Flashcards
Key factors affecting product quality
1) Suitability of formulation
- Including appropriate specifications for finished product, ingredients & container
2) Validated & controlled manufacturing procedure
3) Stability under storage conditions & throughout product life
4) Good & consistent bioavailability
When are pre-formulation studies carried out
1) Drug discovery
- Understand physical, chemical, analytical & pharmaceutical properties of the candidate molecule
- Provide ideas for modification of candidate molecule to improve performance
2) Manufacturing
- Ensure final product meets release specifications & is of consistent quality
Purpose of pre-formulation studies
Pre-formulation studies carried out on APIs to:
1) Predict viability of various formulations and methods of manufacture
2) Provide clues as to how to achieve desired performance of finished product
3) Ensure stability & bioavailability throughout storage/shelf-life
Overall:
1) Primary characterization of drug substances and/or excipients for certain fundamental physical & chemical properties
2) Confirm suppliers’ information & ensure quality, especially of API
Data from pre-formulation studies can be used to:
1) Detect batch-to-batch variations of starting materials
2) Ensure better specifications to be drawn up for procuring materials
3) Create database for assessment of suppliers who can provide materials of consistent quality
4) Retrospective study of process or product
Final product
1) Meet product specifications
2) Meet intended delivery of drug as designed –> reach site of action at intended concentrations
3) Consistency
- Within batch, batch to batch, different manufacturing sites
4) Physically & chemically stable throughout shelf-life
5) Acceptable to consumer in terms of convenience & palatability
Benefits of pre-formulation studies
1) Can set API specifications
2) Minimize developmental costs
3) Avoid failure during long-term stability
- By accurate prediction of chemical & physical stability of API and compatibility of materials
4) Biowaiver
Considerations when developing dosage form
1) Manufacturability
- Scalability
- Reproducibility
- Cost-effectiveness
2) Stability - Must remain stable throughout:
- Manufacture
- Shelf-life
- In GIT
3) Bioavailability
- Must be able to dissolve & disintegrate to be absorbed in GIT
- Must be able to reach site of action to elicit therapeutic effect
- Convenience –> compliance
Stability test
Test:
1) Chemical / Physiochemical characteristics (e.g. hydrolysis)
2) Non-chemical characteristics
- Particle size
- Polymorphic form
- Dissolution
- Preservative efficacy of multidose formulations (especially liquids)
Bioavailability / Bioequivalence studies - Test for
1) Solubility of active in aqueous media of acid pH
2) GI permeability
Biopharmaceutics Classification System (BCS)
Class I
- High solubility & permeability
- Ideal
Class II
- Low solubility, high permeability
- Focus on in vitro dissolution
Class III
- High solubility, low permeability
- Optimize absorption/route
Class IV
- Low solubility & permeability
- Molecule modification
Test methods for particle shape
Image analysis
Image analysis
Obtain pixelated image of particle Calculate area (no. of pixels x area of 1 pixel) & perimeter from pixelated image of particle
Sphericity = (4π Area) / Perimeter^2 - Sphericity = 1 --> perfect circle Elongation factor / Aspect ratio = Length / Breadth - Aspect ratio = 1 --> sphere/cube - Aspect ratio = 2-3 --> needle shape
Limitation
- Particle will be oriented such that centre of gravity is lowest –> may overestimate particle size
Surface area
Affects:
1) Interactions / Forces between particles
2) Area available for reaction e.g. dissolution, degradation
Amorphous solids have greater surface area VS crystalline solids
Test methods for surface area
1) Gas permeability
2) Gas adsorption (BET)
Gas permeability
- How it works
- Limitations
- Applications
How it works:
Pass gas through body of powder
Larger surface area –> gas passes through more slowly
Limitations:
1) Not very precise
2) Shape factor not taken into account
3) Tends to underestimate
Applications:
1) Not commonly used today