How Do You Analyze Particle Size? Understanding Particle Size Distribution and Analysis Requirements
The
performance, quality, and traits of particulate materials can be determined by
particle size. Powders, aerosols, emulsions, and suspensions are an example of
this. For instance, the shape and dimension of powders can indicate their
compaction and flow strengths. Larger, rounded particles tend to have better flow
than smaller ones. However, smaller particles mix quickly and increase suspension
viscosities. Droplets of powder measuring 2-5µm can disperse rapidly and enter
the lungs better than larger particles. That's why studying particle-size distribution
(PSD) is essential. It
also helps identify the suitable size of a particle for a specific purpose and
put it through different processes accordingly, such as emulsification,
crushing, microfluidization, homogenization, etc, while
monitoring changes. Particle size also comes in handy with separation
techniques, such as cyclones, filtering, and screening.
·
Particle
size analysis
Particle
analysis is a critical step in ascertaining the particle sizes.
After analyzing the sizes, users can report the outcomes in many ways. Some
researchers only want to know the average size; however, expert scientists look
for central distribution points and other values to report distribution width. Almost
all biotherapeutics feature 2 to 100 µm of subvisible particles in several
shapes and quantities. Still, particle size is emphasized more in particulate
samples because it influences a product's success. Through distribution
analysis of the particle sizes, one can learn about particle size variation and
volume in a drug represented as a frequency distribution graph. A more
significant number of particle diameter calculations create a bell curve, where
the x-axis stands for the particle size and the y-axis signals the frequency of
the specific particle size.
The process
covers some statistical parameters, such as mode, mean, and median. Mean is the
population size; median or middle size shows two varying population sizes—one
above and the other below; and mode is the commonly occurring particle size.
The shape of the bell curves can vary, and each shape can help with particle
characterization in a product. Mode, mean, and median give insight into that
shape.
·
Particle
size analysis techniques
Multiple
options are available. However, dynamic light scattering (DLS), Laser
diffraction, and Sieving are most popular.
1.
DLS
It is a
unique method representing the mean value of the Z average or intensity
distribution and PDI or the polydispersity index to reveal distribution width. If
you know your sample’s refractive index, you can distribute volume from intensity.
During the analysis, millions of particles are randomly passed through a camera
for a quick examination for size and shape specifications.
2.
Laser
diffraction
This analysis
procedure is also known as static laser light scattering (SLS). The process
checks the particles’ scattered laser light intensity distributions. However,
the size is analyzed indirectly. Through this process, one can discover that
larger particles spread the light in small angles while smaller ones do this in
larger angles. The main downside of this method is the lack of shape
evaluation, as it considers all particles spherical-shaped. Sensitivity and low
resolution can also hinder the sample's efficiency. Still, you may use this
method in specific scenarios if you find it helpful.
3.
Sieving
This
traditional particle size evaluation method uses woven-wire mesh sieves with
desired pore sizes. Various sieves form the stack, each having an increasing
aperture size. Due to this, the sample is placed in the uppermost large sieve.
A mechanical process starts to shake the sample in the sieve shaker to help the
particles reach the smallest aperture. The application of this method depends
on the aperture sizes. While it's an old method, several labs resort to
Sieving. Some common challenges faced with this particle size analysis
technique include data transfer errors, overloading risks, and time-consuming
steps of weighing, sieving, cleaning, etc.
·
Particle
size analysis equipment or devices
These tools
can be complex, from simple mesh designs to electron microscopes. For example,
laser diffraction size analyzers can offer detailed accounts of particle sizes.
Different instruments and techniques will affect measurement accuracy. More
accurate results demand the use of sophisticated processes and methods. When
dealing with samples containing bigger homogeneous particles, you can easily
rely on sieve analysis.
Conversely,
complex biotherapeutic formulations involving various particle size
distributions will be ideal to tackle with more advanced systems. In this
context, it helps to know that DLS can track particle sizes down to 0.3 nm and laser
diffraction to 10 nm. Remembering this point is crucial because every method
faces particle size limitations, reducing their ability to evaluate all types
of visible and subvisible particles.
Determining
the precise particle size division through proper analysis in medicine and life
sciences is crucial to ensure product quality and consistency. Otherwise, the
active ingredient in the drug will face difficulty with entering the targeted
body part in an adequate concentration. Too large particles can be challenging
to inhale and get trapped in the throat. Simultaneously, particles that are too
small can quickly disperse before entering the lungs. However, the right-sized
particles are less likely to interfere with the gastrointestinal tract and can
do their intended job effortlessly. Additionally, distributing particle size is
necessary to manufacture a good drug because it can affect a tablet's
efficiency in remaining intact and its shelf life.
·
Distribution
analysis issues and solutions
There are two
main obstacles – regulatory
requirements and the complexity of biotherapeutic formulations.
At the same time, one must be able to manufacture premium drugs with the lowest
rejection rates or losses. To comply with the FDA and USP standards, you can
remove the sample's subvisible particles for higher resolution. Why should you
do this? It allows you to use systems and processes that can detect particle
sizes to a minimum of 5 µm. So, choose your technique accordingly. Plus,
particle shape is also a critical factor. If you assume all particles are
round-shaped, your chances of making an error will be high, and achieving
accuracy will be dismal. Typically, light-diffusion processes provide particle
shape characterization. Hence, it can be worth considering them.
Cells, genes,
proteins, vaccines, and other complex biotherapeutics are becoming the mainstay
in medicine due to their efficacy and target orientation for several diseases
that were earlier challenging to treat. However, these advanced solutions
depend on accurate particle size results for their safety and quality. That’s
why manufacturers and regulators seek trustworthy particle size analysis
systems.
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