Methods for determining enantiomeric purity with varying chiral analyte concentration
US8189188B2 · kind B2 · utility
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Key dates
| Filing date | Oct 6, 2006 |
| Grant date | May 29, 2012 |
| Priority date | — |
| Expiry date | Feb 16, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N2201/129
- WIPO fieldMeasurement
- WIPO sectorInstruments
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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