Open AccessDiscrimination of Chinese Baijiu grades based on colorimetric sensor arrays
Author(s) -
Lin Hao,
Wencui Kang,
Hong-juan Jin,
Zhong-xiu Man,
Quansheng Chen
Publication year - 2020
Publication title -
food science and biotechnology/food science and biotechnology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.595
H-Index - 38
eISSN - 2092-6456
pISSN - 1226-7708
DOI - 10.1007/s10068-020-00757-z
Subject(s) - chemistry , ethyl butyrate , chromatography , ethyl acetate , linear discriminant analysis , electronic nose , visualization , partial least squares regression , colorimetry , artificial intelligence , computer science , machine learning
In this study, a novel colorimetric sensor array based on chemo dyes including porphyrins and pH indicators were developed to analyse the volatile organic compounds of Chinese Baijiu with different grades. Ethyl acetate, ethyl butyrate and ethyl caproate appeared by significantly different concentration in different Baijiu grades measuring by gas chromatography and mass spectrometry and they were chosen as characteristic volatile organic components. The olfactory visualization system based on colorimetric sensor arrays was used to identify different Baijiu grades. The data were processed by building the principle components analysis, linear discriminant analysis and K-nearest neighbor classification models with the results of sensory evaluation and olfactory visualization system. This work presents a new-style colorimetric sensor using sensitive chemo dyes which has significant potential in quantitative analysis of volatile organic compounds, afterwards identifying different grades of Baijiu.