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In Section 2 we learned how light
scattering works, and that DLS measures
the deflection of light at a specific angle
and assesses how this changes over time.
We saw how DLS uses this information
to determine the diffusion coefficient D,
and learned that from this we get particle
radius and the distribution of particle
sizes in solution.
In Section 3 we saw what DLS
does with the raw data – it uses an
autocorrelation function and fits
the light scattering data to build
the intensity distribution of the
sample.
In Section 4 we showed what the
rH, intensity distribution, and PDI
tell you about your sample. These
parameters are intrinsically linked
to your candidate's stability, quality,
composition, and how reproducibly
you prepare your sample.
In Section 5 we looked at methods that
give you similar or complementary
information about your biologic. We
discussed their benefits and limitations
to help you decide what is best for you
and your work.
In Section 6 we presented some practical
considerations and caveats when
planning DLS experiments and preparing
samples. There are different expectations
for DLS depending on where you are
in the biologics workflow, and these
influence how you prepare your sample.
This is crucial because DLS assesses all
particles in solution.
Incorporating DLS into any workflow is a benefit to
biologics researchers, whether they are in the early
stages of isolating a protein of interest, or working in
formulating therapeutics for the clinic.
