Abstract

Near infrared spectroscopy was used to discriminate between three sources of orange juice. Three pretreatments and five data transformations to improve discrimination were compared. Principal components analysis of 92 calibration samples was followed by canonical variates analysis using up to 25 principal components. Success rates were compared across pretreatments and transformations for the calibration and test data (50 samples). 100% prediction success was obtained with 25 principal components following no pretreatment and no transformation. Principal component loadings were interpretable.

© 1993 NIR Publications

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