Accurate grade evaluation of young liquor is essential for subsequent liquor-graded storage and a crucial part of quality control. Currently, the grade evaluation of the products mainly depends on the taster's sensory evaluation and chemical analysis, which is time-consuming and of cumbersome . The detection and analysis of the volatiles in three grades of young liquors was carried out by using an electronic nose and the quality prediction methods were studied in terms of grade determination, total acids and total ester contents. 1) The principal component analysis and Fischer discriminant analysis were used to determine the grades, resulted in that Fisher's discriminant analysis was superior to the principal component analysis and the correct rate of discrimination reached 85.11%. 2) In the prediction of acid and ester contents, a partial least-squares regression model was established that predicted the total acid and total ester index contents, which fit determination coefficient R2 of 0.836 1 and 0.852 2. These results suggest that electronic nose is a useful and powerful tool in identification and prediction of acid ester contents in different grade liquors.
ZHANG Jun-sheng
,
LI Zhen-feng
,
SONG Fei-hu
,
LI Jing
,
ZHU Guan-yu
,
ZHANG Xin
,
LYU Bing
. Quality inspection of original liquor based on electronic nose detection[J]. Food and Fermentation Industries, 2018
, 44(12)
: 216
-220
.
DOI: 10.13995/j.cnki.11-1802/ts.018132
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