ArticleScientific reports2017
Quality assessment of Chinese liquor with different ages and prediction analysis based on gas chromatography and electronic nose.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Comparative characterization of volatile components in commercial Huangjiu with different sweetness classifications using electronic nose, HS-SPME-GC-MS and GC-IMS.Frontiers in nutrition · 2026Article
- Article
- Can Electronic Nose Replace Human Nose?-An Investigation of E-Nose Sensor Responses to Volatile Compounds in Alcoholic Beverages.ACS omega · 2023Article
- Colorimetric sensor arrays for the differentiation of baijiu based on amino-acid-modified gold nanoparticles.Scientific reports · 2022Article
- Analysis of microbial diversity and succession duringEngineering in life sciences · 2022Article
- Untargeted Headspace-Gas Chromatography-Ion Mobility Spectrometry in Combination with Chemometrics for Detecting the Age of Chinese Liquor (Baijiu).Foods (Basel, Switzerland) · 2021Article
- Identification of the Olfactory Profile of Rapeseed Oil as a Function of Heating Time and Ratio of Volume and Surface Area of Contact with Oxygen Using an Electronic Nose.Sensors (Basel, Switzerland) · 2021Article
- Influence of Electrochemical Oxidation on the Maturation Process of the Distilled Spirit.ACS omega · 2020Article
- Effect of the environment microbiota on the flavour of light-flavour Baijiu during spontaneous fermentation.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The economic value of Chinese liquor is closely related with its age. Results from gas chromatograph (GC) analysis indicated that 8 dominant compounds were decreased with the increase of liquor age (0 to 5 years) while ethyl lactate was found to be the most stable dominant compound as no significant change was observed in it during the aging process. Liquor groups with different ages were well-discriminated by principal component analysis (PCA) based on electronic nose signals. High-accurate identification of liquor ages was realized using linear discriminant analysis (LDA) with the accuracy of 98.3% of the total 120 samples from six age groups. Partial least squares regression (PLSR) exhibited satisfying ability for liquor age prediction (R
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