Literature DB >> 33007693

Objective measures of greengage wine quality: From taste-active compound and aroma-active compound to sensory profiles.

Tiantian Tian1, Junyong Sun1, Dianhui Wu1, Jianbo Xiao2, Jian Lu3.   

Abstract

This study is sought to identify the components in greengage wine that predict the sensory properties. Taste-active compounds and aroma-active compounds of 20 commercially available greengage wines from different regions were characterized. The relationship between these compounds, wine samples and sensory attributes was modeled by partial least squares regression. The regression analysis indicated the taste-active compounds, alanine, leucine, proline, glutamic acid, lysine, malic acid, citric acid, sucrose, glucose, gallic acid, caffeic acid and tannin made a great contribution to the characteristic taste or mouthfeel of greengage wine. Meanwhile, the aroma-active compounds, including ethyl acetate, ethyl butanoate, ethyl hexanoate, ethyl octanoate, ethyl decanoate, 3-methylbutanol, 5-hydroxymethylfurfural, octanoic acid and benzaldehyde, modeled well with the flavor characteristic of greengage wine. The study revealed new insights into the relationship between chemistry and wine sensory characters, which has implications for developing an objective measurement system for determining greengage wine quality.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aroma-active compound; Greengage wine; PLSR; Sensory characteristic; Taste-active compound

Mesh:

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Year:  2020        PMID: 33007693     DOI: 10.1016/j.foodchem.2020.128179

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  5 in total

1.  Effects of Different Pesticides on the Brewing of Wine Investigated by GC-MS-Based Metabolomics.

Authors:  Beibei Song; Yaoyao Zhou; Rong Zhan; Linjiang Zhu; Hanchi Chen; Zhi Ma; Xiaolong Chen; Yuele Lu
Journal:  Metabolites       Date:  2022-05-27

2.  Microbial Communities and Flavor Compounds during the Fermentation of Traditional Hong Qu Glutinous Rice Wine.

Authors:  Anqi Liu; Xu Yang; Quanyou Guo; Baoguo Li; Yao Zheng; Yuzhuo Shi; Lin Zhu
Journal:  Foods       Date:  2022-04-11

3.  Defect Classification of Green Plums Based on Deep Learning.

Authors:  Haiyan Zhou; Zilong Zhuang; Ying Liu; Yang Liu; Xiao Zhang
Journal:  Sensors (Basel)       Date:  2020-12-07       Impact factor: 3.576

4.  Multi-objective evaluation of freshly distilled brandy: Characterisation and distribution patterns of key odour-active compounds.

Authors:  Tian-Tian Tian; Shi-Li Ruan; Yu-Ping Zhao; Ji-Ming Li; Chao Yang; Hui Cao
Journal:  Food Chem X       Date:  2022-03-03

5.  A high-resolution Orbitrap Mass spectral library for trace volatile compounds in fruit wines.

Authors:  Yaran Liu; Na Li; Xiaoyao Li; Wenchao Qian; Jiani Liu; Qingyu Su; Yixin Chen; Bolin Zhang; Baoqing Zhu; Jinxin Cheng
Journal:  Sci Data       Date:  2022-08-13       Impact factor: 8.501

  5 in total

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