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Abstract

A method for predicting a property of a matter of biological origin, such as biological fluid, containing water, where the biological matter may be approximated to contain two compartments where one compartment has a proportionally larger or smaller amount of water than the other compartment having the property of interest. The method establishes a training set in the near-infrared (NIR) region with independent quantification of the property of the matter using known techniques. The training set is mathematically analyzed according to a correlation developed by regression analysis after employment of a ratio pre-processing technique. The result is a mathematical transformation equation which quantitatively relates spectral intensities at specific wavelengths to the property of interest. This transformation equation may be applied to unknown samples so as to predict their properties, thereby eliminating need for the reference method except for validation or recalibration. There is rapid and accurate prediction of the property of the unknown sample, which may be the property of hematocrit or hemoglobin concentration in whole animal blood.

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First Claim