CIDEPINT   05376
CENTRO DE INVESTIGACIONES EN TECNOLOGIA DE PINTURAS
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Enantiomeric composition determination of highly overlapped chromatographic profiles by combination of chromatography and chemometric methods. Application to the analysis of enantiomeric drugs
Autor/es:
OSORIO GRISALES, J.; ARANCIBIA, J.; OLIVIERI, A.; CASTELLS, C. B.
Lugar:
Amsterdam
Reunión:
Simposio; HPLC2013; 2013
Resumen:
Chirality is now a major issue in the design and
development of new drugs and agrochemicals supported by the understanding of
the relevant role of molecular recognition in many biological events. Thus, the
analysis of enantiomers became a very important topic in separation science.
The development of a chiral chromatographic method
often requires expensive and time-consuming testing of different columns and
conditions. Furthermore, for checking enantiomeric purity, the enantiomer of
analytical interest (the minor peak) has to be quantitatively analyzed at very
low levels respect to the main enantiomer. This requires injecting relatively
large amounts of sample to enhance detectability and, as a consequence, the
major component might become tailed due to mass overloading. Thus, improved
accuracy in quantitation of the minor signal close to the major peak in the
chromatogram is achievable as enantioresolution factor increases. However,
baseline separations are not easily obtained, and partial overlapping between
both enantiomers is very often observed. The problem would be even worse if other components
in the sample coelute with the target analyte.
We demonstrated how chiral liquid chromatography
combined with multivariate chemometric techniques, specifically unfolded-partial
least-squares regression (U-PLS), provides a powerful analytical methodology.
Using U-PLS, strongly overlapped enantiomer profiles in a sample could be
successfully processed and enantiomeric purity of ibuprofen could be accurately
determined at trace levels (below 0.5 mg/L), with relative prediction error
within ±3%, without requiring baseline enantioresolution between peaks. The
scope of the algorithm was also explored and excellent precision was found even
from almost completely overlapped signal. Finally, we tested the quality of the
quantitative information obtained in presence of another component present in
the sample that coelutes with the interest signals. The results were
successful: we obtained accurate measurements of enantiomeric purity of
ibuprofen, although the interferent could not be quantified.