When developing a mixture
of ingredients we use a to live some time to be sure that the mixture is fine
and if we divide the mixed batch into several subsamples, the spectra of all
the subsamples are similar each other in a certain level. If we see differences,
we consider that the mixture is not completed and we can continue mixing. There
is a point at a certain time where the mixture cannot be improve and after that
point it can became worse to certain levels. We must be sure that we finish the
mixture as closer to that point as possible.
If we get a library of
spectra with those characteristics we can keep it and compare new batches in
order to check if the spectrum at that time match with the spectra from the
library.
In a mixture is also
important that the quantities of every ingredient is correct, maybe we miss to
add an ingredient, we add it in the wrong proportions, or by mistake an
ingredient which does not form part of the formula. Why not to detect even a
cross contaminant, or other issues.
If we develop a model based
on good spectra, and prepare a realistic cutoff we can check all the batches
and detect if the PASS or FAIL the Identification or Qualification Test.
There can be cases where we
can know what the problem was looking to the spectra. One simple example is to
add to a mixture an ingredient which should not be there... let´s suppose
"Dextrose", and I acquire the spectrum of this mixture, after I subtract
this spectrum from the average spectrum of all the good spectra in the library
(let´s say the ideal spectrum)…..you will see how the difference spectrum is
the Dextrose itself, or very similar with a high correlation to the samples in
the Dextrose product.
You can see also this with
more complex techniques as Principal Component Analysisn (PCAs), where we have
a reconstructed spectrum and a residual spectrum as well. Can we see any
features in the residual spectrum which tell us what is the ingredient or
ingredients not explained by the model? Maybe is the spectra of an adulterant,
wrong ingredient added by mistake,...
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