A Fourier transformer near-infrared (FT-NIR) method has been created for analyzing the number of sugars (glucose, fructose,
and sucrose) in honey that needs less sample preparation and is much faster than the conventional HPLC or FT-IR(Mid) technique.
For this new method, the sample weight is not a critical parameter anymore. The method requires just as much sample as is needed
to fill the 8mm sample vial. The FT-NIR model for predicting sugar in honey was developed from 55 syrup samples that contained
glucose, fructose, and sucrose mixtures in different percentages as well as 8 honey samples. The amount of sugar in the 8 honey
samples was determined by HPLC. The quality of the prediction model was checked by cross-validation. For the set of reference
samples (55 syrups and 8 kinds of honey) the model has a high data correlation constant (R2) and low Root Mean Square Error
of Cross-Validation (RMSECV <1). With time, the model can be updated each time the sugar content in a new honey sample is
independently (other than FT-NIR prediction) measured. Our studies on several honey samples with unknown sugar content have
shown that FT-NIR is very suitable for screening of honey and the obtained results were within the limit of the international standard
results for sugar in honey (fructose≤60%, glucose≤45% for blossom Honey). The FT-NIR prediction has a very high reproducibility
since fewer human errors caused by sample preparation can happen.