Methods for determining enantiomeric purity with varying chiral analyte concentration
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United States of America Patent
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May 29, 2012
Grant Date -
Feb 25, 2010
app pub date -
Oct 6, 2006
filing date -
Oct 7, 2005
priority date (Note) -
Expired
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Abstract
A new strategy for the quantitative determination of enantiomeric purity that combines guest-host complexation, spectroscopy, and chemometric modeling. Spectral data for samples of known enantiomeric composition is subjected to a type of multivariate regression modeling known as partial least squares (“PLS-1”) regression. The PLS-1 regression produces a mathematical model that can be used to predict the enantiomeric composition of a set of samples of unknown enantiomeric purity. In this strategy, the concentration of the chiral compound does not have to be fixed or known.
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