Bio-Rad Foresight™ Chromatography Columns, Prepacked - Manual (Page 15)

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2.7 Design of Experiments
Design of experiments (DoE) is a systematic
investigation of the effect that inputs (experimental
variables or factors) have on system outputs
(responses). The main advantage of DoE is that a
significant amount of information can be obtained
in relatively few experiments. In sharp contrast with
one-factor-at-a-time experimentation, in DoE all
factors are varied simultaneously. DoE, generates
process design spaces that support quality by
design (QbD) and process analytical technology (PAT)
approaches.
One of the most commonly used DoEs is the
full factorial design. In this type of DoE, each
experimental factor is considered at two levels (low
and high) and the number of experiments is equal to
2 n , n being the number of experimental factors. Full
factorial design is primarily useful when the number
of factors is not very high. Other types of DoEs are
available when the number of experimental factors
is relatively high. DoE can be created and analyzed
using commercially available statistical software
packages. HT chromatographic experiments benefit
from DoE in that one single media plate or part of it is
sufficient for an entire DoE study.
2.8 Scaling up from Plates to Columns
HT chromatographic studies should be verified on
prepacked columns to further optimize the design
space. Foresight chromatography media columns
prepacked with the same media used in the
Foresight chromatography media plates are available
in various scales. These columns are used for flow
experiments, such as measuring the effect of of liquid
residence time on dynamic binding capacity (DBC)
at 10% breakthrough. Bio-Rad’s prepacked columns
are compatible with all liquid chromatography
stations.