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ATR-FTIR combined with chemometrics was applied to establish SVM classification models aiming to evaluate sensory quality of Chinese Moutai-flavour liquor. Transformation of ATR-FTIR data, selection of effective wavenumbers as well as determination of c and gamma were performed in succession, while the verification of models was deployed applying unknown samples. Finally, taste-prediction models of raw grain and cleanliness have an accuracy reaching 90%. Model of after-taste has an accuracy of 80% and others are lower than 70%. As for some flavours, ATR-FTIR and chemometrics technology provided an effective method for quality analysis of Chinese Moutai-flavour liquor.

Application on sensory prediction of Chinese Moutai-flavour liquor based on ATR-FTIR