Spectroscopic determination of sucrose
AssigneeBaylor University
InventorsKenneth W. Busch, Carlos Calleja-Amador, Dennis H. Rabbe, Marianna Busch
Life of this patent
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Abstract
A method for determining sugar concentration using spectropolarimetry and multivariate regression modeling A set of fixed polarizers are used in association with a spectrometer, which enables the measurement of optical rotation as absorbance values over a range of wavelengths. The adverse effects of color within the samples is corrected by measuring a background level of absorbance that is not due to optical rotation and using this as a baseline. A regression model is then developed for predicting sugar concentration in unknown samples. This method is effective even if the sample is colored.
Claims7
A method for determining an unknown sugar concentration in an unknown sample, comprising:
- collecting unknown background spectral data of an unknown sample by passing light of various wavelengths through a first polarizer, a second polarizer oriented at a 45 degree angle with respect to the first polarizer, and the unknown sample, and recording the resultant light intensity with a spectrometer to give the unknown background spectral data;
- collecting unknown spectral data of the unknown sample by passing light of the various wavelengths through the first polarizer, the unknown sample, and the second polarizer oriented at a 45 degree angle with respect to the first polarizer, and recording the resultant light intensity with the spectrometer to give the unknown spectral data;
- adjusting the unknown spectral data by subtracting the unknown background spectral data to give adjusted unknown spectral data;
- and
- inserting the adjusted unknown spectral data into a regression model to allow calculation of the unknown sugar concentration in the unknown sample.
A method for determining an unknown sugar concentration in an unknown sample, comprising:
- preparing a series of known samples, each of the known samples comprising a sugar compound having a known concentration;
- collecting background spectral data of the known samples by passing light of various wavelengths through a first polarizer, a second polarizer oriented at a 45 degree angle with respect to the first polarizer, and the known sample, and recording the resultant light intensity with a spectrometer to give the background spectral data;
- collecting known spectral data of the known samples by passing light of the various wavelengths through the first polarizer, the known sample, and the second polarizer oriented at a 45 degree angle with respect to the first polarizer, and recording the resultant light intensity with the spectrometer to give the known spectral data;
- adjusting the known spectral data by subtracting the background spectral data to give adjusted known spectral data;
- performing a principal component analysis and a regression of the adjusted known spectral data for each of the known samples to create a regression model;
- collecting unknown background spectral data of an unknown sample by passing light of the various wavelengths through a first polarizer, a second polarizer oriented at a 45 degree angle with respect to the first polarizer, and the unknown sample, and recording the resultant light intensity with a spectrometer to give the unknown background spectral data;
- collecting unknown spectral data of the unknown sample by passing light of the various wavelengths through the first polarizer, the unknown sample, and the second polarizer oriented at a 45 degree angle with respect to the first polarizer, and recording the resultant light intensity with the spectrometer to give the unknown spectral data;
- adjusting the unknown spectral data by subtracting the unknown background spectral data to give adjusted unknown spectral data;
- and
- inserting the adjusted unknown spectral data into the regression model to allow calculation of the unknown sugar concentration in the unknown sample.
Dependencies are inferred from the claim text.