Discrimination of Cherry Wines Based on Their Sensory Properties and Aromatic Fingerprinting using HS-SPME-GC-MS and Multivariate Analysis

被引:43
|
作者
Xiao, Zuobing [1 ]
Liu, Shengjiang [1 ]
Gu, Yongbo [1 ]
Xu, Na [1 ]
Shang, Yi [1 ]
Zhu, Jiancai [1 ]
机构
[1] Shanghai Inst Technol, Sch Perfume & Aroma Technol, Shanghai, Peoples R China
基金
上海市自然科学基金;
关键词
sensory properties; volatiles; multivariate analysis; HS-SPME-GC-MS; cherry wines; CHROMATOGRAPHY-MASS SPECTROMETRY; GAS-CHROMATOGRAPHY; VOLATILE COMPOUNDS; IMPACT ODORANTS; WHITE WINE; RED WINE; PROFILES;
D O I
10.1111/1750-3841.12362
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Volatiles of cherry wines were extracted by headspace solid phase microextraction (HS-SPME) and analyzed by gas chromatography mass spectrometry (GC-MS), multivariate statistical techniques (such as principal component analysis (PCA) and cluster analysis (CA) and correlation analysis) to differentiate sensory attributes of 3 groups of the wines through characterization of volatiles of cherry wine. Seventy-five volatiles were identified in 9 samples, including 29 esters, 22 alcohols, 8 acids, 3 ketones, 5 aldehydes, and 8 miscellaneous compounds. The PCA results showed that the cherry wines were mainly differentiated by 8 sensory attributes. The samples W2, W4, and W7 were grouped around sweet aromatic and the samples W1, W5, and W9 were highly associated with the sweet, esters, green, bitter, and fermented. Nevertheless, the samples W3, W6, and W8 were located close to the sour, alcoholic, and fruity. The final result of correlation analysis was in conformity with the conclusion of PCA. The CA results showed that the group of W2, W4, and W7, and the group of W1, W5, and W9 had less difference than the group of W3, W6, and W8. The reason should be that esterification reactions and fermentation process during the ageing period was more extended. The results of analyzing revealed that HS-SPME-GC-MS coupled with chemometrics could give an appropriate way of characterizing and classifying the cherry wines. Practical Applications Attributes that represent and discriminate among cherry wines might be made use of a better comprehending of the wines and for being utilized in future work. In addition, several chemometrics were used to classify the type of wines and try to install the relationship between volatiles and sensory property. Especially, PCA clearly revealed that the most contributing compounds for sensory attributes of cherry wines, CA was a more applicable way to distinguish types of cherry wines. Therefore, a feasible method that would be helpful to promote the quality of the wines by improving the winemaking process and analyzing aromatic characteristics of wines.
引用
收藏
页码:C284 / C294
页数:11
相关论文
共 50 条
  • [1] Comparison of aromatic and phenolic compounds in cherry wines with different cherry cultivars by HS-SPME-GC-MS and HPLC
    Sun, Shu Y.
    Jiang, Wen G.
    Zhao, Yu P.
    [J]. INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY, 2012, 47 (01): : 100 - 106
  • [2] Volatile compounds of aromatic cocktail bitters: A HS-SPME-GC-MS analysis
    Johnson, Arielle J.
    Ebeler, Susan E.
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2013, 245
  • [3] Determination of terpene alcohols in Sicilian Muscat wines by HS-SPME-GC-MS
    Barbera, Daniela
    Avellone, Giuseppe
    Filizzola, Felice
    Monte, Lucio G.
    Catanzaro, Paola
    Agozzino, Pasquale
    [J]. NATURAL PRODUCT RESEARCH, 2013, 27 (06) : 541 - 547
  • [4] Rapid differentiation of Chinese hop varieties (Humulus lupulus) using volatile fingerprinting by HS-SPME-GC-MS combined with multivariate statistical analysis
    Liu, Zechang
    Wang, Liping
    Liu, Yumei
    [J]. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2018, 98 (10) : 3758 - 3766
  • [5] Identification of Adulterants in Extra Virgin Olive Oil Using HS-SPME-GC-MS and Multivariate Data Analysis
    Knaul, Luana E.
    Santos, Leticia Maria S.
    Ramos, Priscila Maria M.
    Cabrera, Martha B. R.
    Rudiger, Andre Luis
    Kapp, Marcelo N.
    Toci, Aline T.
    Boroski, Marcela
    [J]. JOURNAL OF THE BRAZILIAN CHEMICAL SOCIETY, 2024, 35 (09)
  • [6] Systematical construction of rice flavor types based on HS-SPME-GC-MS and sensory evaluation
    Zhou, Yiming
    Gao, Shijie
    Wei, Jianan
    Chen, Xiangyu
    Zhu, Siyi
    Zhou, Xiaoli
    [J]. FOOD CHEMISTRY, 2023, 413
  • [7] Sensory and Volatile Profiles of Korean Commercially Distilled Soju Using Descriptive Analysis and HS-SPME-GC-MS
    Hong, Jung-Min
    Kim, Tae-Wan
    Lee, Seung-Joo
    [J]. FOODS, 2020, 9 (09)
  • [8] Characterization of Korean Distilled Liquor, Soju, Using Chemical, HS-SPME-GC-MS, and Sensory Descriptive Analysis
    Choi, Hyoung-Uk
    Kim, Tae-Wan
    Lee, Seung-Joo
    [J]. MOLECULES, 2022, 27 (08):
  • [9] Study on the Discrimination between Citri Reticulatae Pericarpium Varieties Based on HS-SPME-GC-MS Combined with Multivariate Statistical Analyses
    Zheng, Yuying
    Zeng, Xuan
    Peng, Wei
    Wu, Zhong
    Su, Weiwei
    [J]. MOLECULES, 2018, 23 (05):
  • [10] Analysis of Volatiles in Paeonia obovata Flowers by HS-SPME-GC-MS
    Wei-Ying Zheng
    Yan-Hui Chen
    Xiao-Ting Zhang
    Zhi-Gang Yu
    [J]. Chemistry of Natural Compounds, 2016, 52 : 922 - 923