Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Chemical analysis
Reexamination Certificate
2007-03-13
2007-03-13
Barlow, John (Department: 2863)
Data processing: measuring, calibrating, or testing
Measurement system in a specific environment
Chemical analysis
C702S023000
Reexamination Certificate
active
11004597
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.
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Notification of Transmittal of the International Search Report and the Written Opinion of the International Searching Authority, or the Declaration from the PCT dated Jun. 1, 2006.
Busch Kenneth W.
Busch Marianna
Fakayode Sayo
Swamidoss Isabel Maya P.
Barlow John
Baylor University
Cherry Stephen J.
Jackson Walker L.L.P.
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