Application on sensory prediction of Chinese Moutai-flavour liquor based on ATR-FTIR
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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.
2012 ◽
Vol 10
(3)
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pp. 196-200
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2016 ◽
Vol 20
(9)
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pp. 862-866
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2020 ◽
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2001 ◽
Vol 19
(2)
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