Prediction of inverted cane sugar adulteration of honey by Fourier transform infrared spectroscopy

Fourier transform infrared (FTIR) spectroscopy with an attenuated total ref lection (ATR) sampling accessory has been used to determine the cane medium invert sugar in 3 different varieties of honey. Predictive models were dev eloped to classify the cane sugar-adulterated honey samples, using discrimi nant analysis. Linear discriminant and canonical variate analysis were used to discriminate adulterated honey samples. The optimum classification of 8 8 to 96.4% was achieved in a validation set, using linear discriminant anal ysis with the partial least squares (PLS) data compression technique. Calib rations developed to predict the spiked inverted cane sugar concentration i n honey with PLS-1(st) derivative method gave standard error of prediction (SEP) between 2.8 to 3.6% w/w.