Abstract

The application of midinfrared (MIR) spectroscopy as a screening tool for the determination of sugaradulteration in honey is discussed. Honey samples with different adulterant sugars were scanned using the attenuated totalreflectance accessory of the BioRad FTS6000 Fourier transform spectrometer. Adulterants considered were glucose,fructose, sucrose, and corn syrup. Predictive models were developed to classify the adulterated honey samples usingdiscriminant analysis. Spectral data was compressed using principal component analysis, and linear discriminant andcanonical variate techniques were used to discriminate adulterated honey samples. The correct classification of 100% wasachieved using canonical variate analysis for honey samples adulterated with corn syrup and sugar mixtures. The bestpredictive models achieved using linear discriminant analyses correctly classified 90% of validation test for sucrose and cornsyrup adulterated samples. Results demonstrated that discriminant analysis of the spectra of adulterated honey samples couldbe used for classification.

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