Adulteration of alcoholic beverages creates problems to both commerce and consumers. A rapid, accurate and reliable technique for detecting the adulterated of alcoholic beverages would be highly beneficial. Near infrared hyperspectral imaging (NIR-HSI) in the wavelength range of 935-1720 nm was tested in order to predict the adulteration in alcoholic beverages by quantitative and qualitative analysis. Denaturalization of an alcoholic beverage, using a blend of ethanol with isopropyl alcohol (EI), was tested as an adulterant in this study. It was added into an alcoholic beverage at various percentages. For quantitative analysis, partial least squares regression (PLSR) was used to develop the calibration model for predicting the percentage EI in the adulterated beverages. Smoothing spectral pretreatments were tested for establishing the calibration model. Accuracy for EI prediction gave a correlation coefficient(Rp) of 0.852 and root mean square error of calibration (RMSEP) of 18.25%. For qualitative analysis, partial least squares-discriminant analysis (PLS-DA) was used to develop the classification model for discriminating the pure alcoholic beverages from the adulterated alcoholic beverages.