Objectives
ü To determine particle
size distribution of lactose and microcrystalline (MCC).
ü To identify the size of
solid particle of lactose and microcrystalline (MCC).
Date of Experiment
22 November 2016
Introduction
A sieve is a tool for
separating lumps from powdered material or grading particles or for
characterizing the particle size distribution of a sample, basically using mesh
or net. Agglomerates are usually broken down by sieves, and the particle size
and size distribution of a particular powder is determined by sieve analysis.
Sieve nest is used to assess the particle size and the size distribution of
both lactose and microcrystalline cellulose (MCC) which are excipients that
commonly used in tablet formulations.
Apparatus And
Materials
Lactose
Microcrystalline cellulose (MCC)
Weighing machine
Stack of sieves
Mechanical sieve shaker
Lactose
Microcrystalline cellulose (MCC)
Weighing machine
Stack of sieves
Mechanical sieve shaker
Procedure
2. The sieve nest
is prepared in descending order (largest diameter to the smallest, from top to
bottom.
3. Lactose is
placed at the uppermost sieve.
4. The sieving
machine is run for 10 minutes(&20 minutes).
5.
The weights of
different sizes of lactose are weighed after the sieving process finished and a
histogram is plotted for the distribution of size particle of lactose.
6.
Step 1-5 are
repeated using MCC to replace lactose.
Results
Sieve
Diameter (µm)
|
Particle size (µm)
|
Mass of Lactose retained in the sieve (g)
|
Percentage of lactose
retained = (w sieve/w total)
x 100%
|
Cumulative percentage retained
|
Percentage of lactose passing
= 100% -cumulative percentage retained(%)
|
500
|
355< x ≤ 500
|
26.2340
|
26.56
|
26.56
|
73.44
|
355
|
355 ≤ × <500
|
45.7467
|
46.31
|
72.87
|
27.13
|
300
|
300 ≤ × <355
|
8.6832
|
8.79
|
81.66
|
18.34
|
212
|
212 ≤ × <300
|
8.9177
|
9.03
|
90.69
|
9.31
|
200
|
200 ≤ ×< 212
|
0.0672
|
0.07
|
90.76
|
9.24
|
150
|
150 ≤ ×< 200
|
2.6130
|
2.65
|
93.41
|
6.59
|
45
|
45 ≤ ×< 150
|
6.2178
|
6.29
|
99.70
|
0.30
|
Lactose 20 minutes
Sieve Diameter (µm)
|
Particle size (µm)
|
Mass of Lactose retained in the sieve (g)
|
Percentage of lactose
retained = (w sieve/w total)
x 100%
|
Cumulative percentage retained
|
Percentage of lactose passing
= 100% -cumulative percentage retained(%)
|
500
|
355<
x ≤ 500
|
27.9594
|
28.071
|
28.071
|
71.929
|
355
|
355 ≤ × <500
|
47.1532
|
47.342
|
75.413
|
24.587
|
300
|
300 ≤ × <355
|
6.2833
|
6.308
|
81.721
|
18.279
|
212
|
212 ≤ × <300
|
2.5117
|
2.522
|
84.243
|
15.757
|
200
|
200 ≤ ×< 212
|
0.0088
|
0.008
|
84.251
|
15.749
|
150
|
150 ≤ ×< 200
|
0.0766
|
0.077
|
84.328
|
15.672
|
45
|
45 ≤ ×< 150
|
13.8096
|
13.865
|
98.193
|
1.807
|
MCC 10minutes
Sieve Diameter (µm)
|
Particle size (µm)
|
Mass of MCC retained in the sieve (g)
|
Percentage of MCC
retained = (w sieve/w total)
x 100%
|
Cumulative percentage retained
|
Percentage of MCC passing
= 100% -cumulative percentage retained(%)
|
710
|
600<
x ≤ 710
|
0.0036
|
0.005
|
0.005
|
99.995
|
600
|
600 ≤ × <710
|
0.0007
|
0.001
|
0.006
|
99.994
|
425
|
425 ≤ × <600
|
0.0485
|
0.075
|
0.081
|
99.919
|
300
|
300 ≤ × <425
|
0.1148
|
0.177
|
0.258
|
99.742
|
150
|
150 ≤ ×< 300
|
4.9990
|
7.706
|
7.964
|
92.036
|
53
|
53 ≤ ×< 150
|
50.6871
|
78.134
|
86.098
|
13.902
|
50
|
50 ≤ ×< 53
|
9.0179
|
13.902
|
100
|
0
|
MCC 20 minutes
Sieve Diameter (µm)
|
Particle size (µm)
|
Mass of MCC retained in the sieve (g)
|
Percentage of MCC
retained = (w sieve/w total)
x 100%
|
Cumulative percentage retained
|
Percentage of MCC passing
= 100% -cumulative percentage retained(%)
|
710
|
600<
x ≤ 710
|
3.0839
|
4.20
|
4.20
|
95.8
|
600
|
600 ≤ × <710
|
2.7706
|
3.77
|
7.97
|
92.03
|
425
|
425 ≤ × <600
|
3.1839
|
4.34
|
12.31
|
87.69
|
300
|
300 ≤ × <425
|
3.1520
|
4.29
|
16.60
|
83.40
|
150
|
150 ≤ ×< 300
|
6.9298
|
9.44
|
26.04
|
73.96
|
53
|
53 ≤ ×< 150
|
44.4114
|
60.48
|
86.50
|
13.5
|
50
|
50 ≤ ×< 53
|
9.9029
|
13.48
|
100
|
0
|
Discussion
A sieve analysis is a
practice or procedure used to assess the particle size distribution of a
granular material. The size distribution plays an important role to the way the
material performs in use. A sieve analysis can be applied on various type of
non-organic or organic granular materials including sands, crushed rock, clays,
granite, feldspars, coal, soil a wide range of manufactured powders, grain and
seeds, down to a minimum size depending on the exact method. Being such a
simple technique of particle sizing, it is probably the most common.
Sieve nest was
prepared in descending order, from the largest diameter to smallest. In this
experiment, sieving process was started with 100 g of lactose or
microcrystalline cellulose (MCC) placed on uppermost. 10(and 20minutes) minutes
later, the procedures of removing the sieving nest and measuring the powder
from each sieve are done. Measurement of particles size of lactose and MCC
powder was according to the principle that the particles cannot pass through
certain sieve sizes due to the greater particle size than the sieve
diameter.
In corresponding of the
result above, the particle size of lactose(10minutes and 20minutes) is in
between 355µm to 500µm as the highest amount of lactose powder is retained at
the sieve with diameter of 355µm. The particle size of MCC(10minutes and
20minutes) is estimated between 53µm to 150µm as the highest amount of MCC
powder is retained at the sieve with diameter 53µm. Hence, lactose has bigger
and more uneven particle size compared to MCC.
There are a few errors
made in the experiment. There is loss of weight of lactose and MCC powder after
sieving. For instance, the initial weight of lactose before sieving is 100g,
has reduced to 99.611g after sieving and the initial weight of MCC before
sieving is 100g, has reduced to 98.7560g. Due to the nature of air which
is very light and fluffy, it caused some particles to be shaken away into
the air during the sieving process. Perhaps some of the particles still sticked
to the sieve when we are removing the sieve. The result might be inaccurate as
the vibration of the sieving nest is not significant or strong enough in
sieving the particles through the sieve diameter. The sieving nest is not clean
as itself is contaminated with other powder. This may affect the results.
In order to minimize these errors, close the sieving nest
tightly with the lid on to
avoid particles escaping from the sieving machine. Be alert to clean and dry
the sieving nest before conducting the experiment to avoid getting inaccurate results. Besides, calibrate
the sieving vibrator machine before using it for the experiment as to provide
an accurate results.
Conclusion
Particle size distribution of lactose and microcrystalline (MCC) is determined.
Particle size distribution of lactose and microcrystalline (MCC) is determined.
The size of solid particle of lactose and
microcrystalline (MCC) is identified.
References
3.
Martin,A.N.
2006. Physical Pharmacy: Physical Chemistry Principles in Pharmaceutical
Sciences. 5th Edition. Philadelphia: Lea & Febiger
Questions
Questions
1. What are the average
particle size for both the lactose and MCC?
Based on the result of experiment, the average particle size for
both lactose and MCC ranges between 53µm to 150µm.
2.
What other method can you use to determine the size of particle
?
Methods that can be used to determine the particle size:
ü
microscope method
ü
coulter counter
ü
laser light scattering method
ü
dynamic light scattering method
ü
sedimentation method
3. What are the importance of particle size in a pharmaceutical formulation?
Reaction rate of
particles in adsorption, distribution, metabolism and elimination in the human
body is influenced by particle size. Next, the size of particles can affect
viscosity and flow, and increasing the polydispersity of particle sizes in a
powder can improve its flow properties. Besides, it affects the behaviour of a formulation
during processing and, ultimately, its content uniformity. It also determine the particles appearance and
texture in form of powder, tablets or capsules. Last but not least, the
particles size also affects the distribution of the active ingredients in the
formulation.
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