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Discrimination of Chinese Baijiu grades based on colorimetric sensor arrays. | LitMetric

Discrimination of Chinese Baijiu grades based on colorimetric sensor arrays.

Food Sci Biotechnol

School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013 Jiangsu People's Republic of China.

Published: August 2020

AI Article Synopsis

  • A new colorimetric sensor array was created using chemo dyes like porphyrins and pH indicators to analyze volatile organic compounds in various grades of Chinese Baijiu.
  • Ethyl acetate, ethyl butyrate, and ethyl caproate were identified as key volatile components with varying concentrations across different Baijiu grades.
  • The study utilized advanced data analysis methods including principal components analysis and K-nearest neighbor classification to effectively categorize and differentiate the Baijiu grades based on sensory evaluation.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347733PMC
http://dx.doi.org/10.1007/s10068-020-00757-zDOI Listing

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