METHODS FOR DETERMINING ENANTIOMERIC PURITY WITH VARYING CHIRAL ANALYTE CONCENTRATION
申请人:Busch Kenneth W.
公开号:US20100045969A1
公开(公告)日:2010-02-25
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.