Literature DB >> 32670657

Discrimination of Chinese Baijiu grades based on colorimetric sensor arrays.

Hao Lin1, Wen-Cui Kang1, Hong-Juan Jin1, Zhong-Xiu Man1, Quan-Sheng Chen1.   

Abstract

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. © The Korean Society of Food Science and Technology 2020.

Entities:  

Keywords:  Baijiu grades; Colorimetric sensor; K-nearest neighbor classification; Linear discriminant analysis; Principle components analysis

Year:  2020        PMID: 32670657      PMCID: PMC7347733          DOI: 10.1007/s10068-020-00757-z

Source DB:  PubMed          Journal:  Food Sci Biotechnol        ISSN: 1226-7708            Impact factor:   2.391


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