CHINOIN Co. Ltd. Chemical Analytical
Development Laboratory
The optimization of a gas-chromatographic test method for intermediates of a drug substance produced by CHINOIN can be seen on the poster.
The aim was to develop a gas-chromatographic method, which can detect and separate all the starting materials, intermediates and their impurities.
It is very difficult to find the optimum conditions for the chromatographic separation of several components. The experimental design was used for this purpose.
The selected method based on the results was validated.
Altogether five GC parameters were
considered. The temperature settings and the pressure of the carrier gas were
changed the others were kept constant.
25-1 = 24
= 16 fractional factor design was applied for the experiments.
The experiments carried out
are to be evaluated according to the objective function.
The resolution is a generally
used factor for describing the separation between two adjacent peaks in
chromatography.
The experiments were evaluated
using the Software Statistica 6.0 on the basis of resolutions and the run time.
First the individual objective
functions were evaluated one by one.
The
equation of the estimated surface can be calculated by taking only the
significant main effects into consideration.
The
suitability of the fitted model can be controlled by the experiments performed
in the central point and by the analysis of the residuals.
The aim
of the experiments is to select the optimum GC conditions for all the factors,
so it is the best solution to choose a multiple objective function, the
so-called desirable function.
The
evaluation of the d function shows which parameters have main effect for the
chromatographic separation and which resolutions are the most sensitive for the
changing of parameters.
After
the execution and evaluation of experiments the available information is
sufficient to set up the optimum conditions of the chromatographic method, but
further experiments are necessary to estimate the parameters of the function
for the exact description of the process.