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

S. Sivakesave, J. Irudayaraj

Research output: Contribution to journalArticlepeer-review


Fourier transform infrared (FTIR) spectroscopy with an attenuated total reflection (ATR) sampling accessory has been used to determine the cane medium invert sugar in 3 different varieties of honey. Predictive models were developed to classify the cane sugar-adulterated honey samples, using discriminant analysis. Linear discriminant and canonical variate analysis were used to discriminate adulterated honey samples. The optimum classification of 88 to 96.4% was achieved in a validation set, using linear discriminant analysis with the partial least squares (PLS) data compression technique. Calibrations developed to predict the spiked inverted cane sugar concentration in honey with PLS-1st derivative method gave standard error of prediction (SEP) between 2.8 to 3.6% w/w.

Original languageEnglish (US)
Pages (from-to)972-978
Number of pages7
JournalJournal of food science
Issue number7
StatePublished - 2001
Externally publishedYes


  • Cane sugar medium invert
  • Canonical variate analysis
  • Fourier transform infrared spectroscopy
  • Linear discriminant analysis
  • Multivariate analysis

ASJC Scopus subject areas

  • Food Science


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