Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractEffects of vitro sucrose on quality components of tea plants (Camellia sinensis) based on transcriptomic and metabolic analysis    Next AbstractMetal-Organic Frameworks With Variable Valence Metal-Photoactive Components: Emerging Platform for Volatile Organic Compounds Photocatalytic Degradation »

J Food Sci


Title:Differentiation and classification of Chinese Luzhou-flavor liquors with different geographical origins based on fingerprint and chemometric analysis
Author(s):Qian Y; Zhang L; Sun Y; Tang Y; Li D; Zhang H; Yuan S; Li J;
Address:"College of Chemical Engineering, Sichuan University of Science & Engineering, Zigong, 643000, China. Luzhou Laojiao Group Co. Ltd, Luzhou, 646000, China. College of Chemistry, Sichuan University, Chengdu, 610000, China. College of Bioengineering, Sichuan University of Science & Engineering, Zigong, 643000, China"
Journal Title:J Food Sci
Year:2021
Volume:20210406
Issue:5
Page Number:1861 - 1877
DOI: 10.1111/1750-3841.15692
ISSN/ISBN:1750-3841 (Electronic) 0022-1147 (Linking)
Abstract:"In order to differentiate and characterize Chinese Luzhou-flavor liquor according to geographical origins, the volatile flavor compounds were analyzed for forty commercial Luzhou-flavor liquor samples from Sichuan, Jiangsu, and Hubei provinces. A total of 113 volatile flavor compounds were quantified; among them, 29 flavor compounds were quantified according to the internal standard method. The differences in flavor composition among different brands of Luzhou-flavor liquor were compared. A data matrix of 64 (flavor components) x 40 (samples) was studied and interpreted using chemometric analysis. The research object could be naturally clustered according to geographical origin (brand) based on the hierarchical cluster analysis (HCA), principal component analysis (PCA) and multivariate analysis of variance (MANOVA) methods. A 100% of predication ability was obtained by the application of K-nearest neighbor model (KNN) for study sample classification. The results demonstrate that the abundance of volatile flavor components in liquors combined with appropriate multivariate statistical methods could be used for the division and traceability of liquors from different geographic origins. PRACTICAL APPLICATION: This study can provide the basis for the identification of liquor authenticity and the traceability of liquor"
Keywords:Alcoholic Beverages/*analysis/*classification China Cluster Analysis Edible Grain/*metabolism Fermentation Food Contamination/*analysis Gas Chromatography-Mass Spectrometry Multivariate Analysis Principal Component Analysis Taste Volatile Organic Compound;
Notes:"MedlineQian, Yu Zhang, Liang Sun, Yue Tang, Yongqing Li, Dan Zhang, Huaishan Yuan, Siqi Li, Jinsong eng 2017RCL48/The talent project of Sichuan University of Science & Engineering/ 2019YJ0698/Sichuan Science and Technology Program/ 2021/04/07 J Food Sci. 2021 May; 86(5):1861-1877. doi: 10.1111/1750-3841.15692. Epub 2021 Apr 6"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 17-11-2024