This paper reports on the implementation of visible and near infrared spectroscopy (vis-NIRS) for the detection of glucose concentration in a mixture of Saudi and imported honey samples adulterated by glucose syrup of five concentrations of 0, 5, 12, 19 and 33 g/100 g. Honey samples were scanned in trans-reflectance mode with an AgroSpec mobile, fibre type, vis-NIR spectrophotometer (tec5 Technology for Spectroscopy, Germany), with a measurement range of 305-2200 nm. The entire data set of 345 spectra was randomly divided into calibration (70 %) and prediction (30 %) sets. The first group was subjected to a partial least squares (PLS) regression analysis with a leave-one-out cross-validation to establish a calibration model for the prediction of glucose concentration, whereas the second group was used to validate the PLS model. For the cross-validation the values for root mean square error of prediction (RMSEP), coefficient of determination (R 2) and ratio of prediction deviation (RPD), which is the standard deviation divided by RMSEP were 4.52 g/100 g, 0.85, and 2.53, respectively. A slightly lower range of accuracy was obtained in the prediction set, with RMSEP, R 2 and RPD values of 5.56 g/100 g, 0.78 and 2.06, respectively. The results achieved suggest that