Particle Size Analysis Flashcards
Appreciate the importance of particle size Define equivalent diameters and particle size distribution Discuss the use and appropriateness of particle sizing methods
Importance of particle size
- It affects physicochemical and pharmacological properties e.g. via dissolution rate (higher the dissolution rate, faster the onset of action)
- It affects processing properties of powders e.g. flowability, mixing (good flow and mixing properties make manufacture process easier)
It affects formulation performance e.g. stability of dispersed systems (better stability, longer shelf life)
- It affects processing properties of powders e.g. flowability, mixing (good flow and mixing properties make manufacture process easier)
Classes of powders (5)
- Coarse
- Moderately fine powder
- Fine powder.
- Very fine powder
- Micronized powder
Coarse powder
> 355
Moderately fine powder
180-355
Fine powder
125-180
Very fine powder
<125
Micronized powder
<10
Large geometric objects
Size is described in three dimensions
Small, ireegular particles
3D size description is impractical, only one dimension (average diameter) is used
Martin’s diameter
The length of the line which bisects the image of particle
Feret’s diameter (dF)
The distance between two tangents on opposite sides of the particle, parallel to some fixed direction
Feret’s and Martin’s diameters are taken from a statistical mean of diameters measured from different particle orientations
Examples of choosing the right diameter
Suspension: sedimentation properties - Stokes’ diameter
Inhaled particles: aerosol deposition in the lungs - aerodynamic diameter
Histogram VS cumulative distribution
Histogram is termed an incremental distribution because it shows how many particles fall within a given size increment
A cumulative distribution shows how much material lies above or below a particular size
What do both histograms and cumulative differences show?
- Reflects the distribution of particle sizes
- Presents an interpretation of the particle size distribution
- Enables determination of the percentage of particles having equivalent diameters
- Allows different particle size distributions to be compared
What is skewness
A measure of the asymmetry of distribution, can be negative or positive
Different distribbution shapes
Distributions may have a pointed or rounded shape, this is quantified as the kurtosis of the distribution
Pointed - leptokurtic
Flattened - platykurtic
Cumulative size distribution
look at slide
Do I need to know which & of the powder falls into a specific size increment? Do I want quick information on the particle size distribution
Incremental
Do I need to know which % of the powder is smaller or larger than a specific size
Cumulative
Histograms measure
Central tedency
Dispesion
What is central tendency
The tendency of the particle size to cluster around a particular value.
Such values are evident as a peak in the particle size distribution
These values are normally known as ‘averages’ or ‘means’ of set of data
3 diff quantities: mode, median and mean
Mode
Peak value of the distribution
If the distribution has 2 or more peaks it is bimodal or multimodal
Median
D50 value is the size which splits the distribution into 2 halves with 50% of the mass or particle number larger and 50% smaller
To find D50 construct a cumulative graph, from which the 50% can be read off directly
Monodisperse
If the particles in a sample are all of the same size