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Discrimination of cherry wines based on their sensory properties and aromatic fingerprinting using HS-SPME-GC-MS and multivariate analysis.
J Food Sci. 2014 Mar; 79(3):C284-94.JF

Abstract

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.

Authors+Show Affiliations

School of Perfume and Aroma Technology, Shanghai Inst. of Technology, Shanghai, China.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

24611827

Citation

Xiao, Zuobing, et al. "Discrimination of Cherry Wines Based On Their Sensory Properties and Aromatic Fingerprinting Using HS-SPME-GC-MS and Multivariate Analysis." Journal of Food Science, vol. 79, no. 3, 2014, pp. C284-94.
Xiao Z, Liu S, Gu Y, et al. Discrimination of cherry wines based on their sensory properties and aromatic fingerprinting using HS-SPME-GC-MS and multivariate analysis. J Food Sci. 2014;79(3):C284-94.
Xiao, Z., Liu, S., Gu, Y., Xu, N., Shang, Y., & Zhu, J. (2014). Discrimination of cherry wines based on their sensory properties and aromatic fingerprinting using HS-SPME-GC-MS and multivariate analysis. Journal of Food Science, 79(3), C284-94. https://doi.org/10.1111/1750-3841.12362
Xiao Z, et al. Discrimination of Cherry Wines Based On Their Sensory Properties and Aromatic Fingerprinting Using HS-SPME-GC-MS and Multivariate Analysis. J Food Sci. 2014;79(3):C284-94. PubMed PMID: 24611827.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Discrimination of cherry wines based on their sensory properties and aromatic fingerprinting using HS-SPME-GC-MS and multivariate analysis. AU - Xiao,Zuobing, AU - Liu,Shengjiang, AU - Gu,Yongbo, AU - Xu,Na, AU - Shang,Yi, AU - Zhu,Jiancai, Y1 - 2014/02/24/ PY - 2013/07/16/received PY - 2013/11/11/accepted PY - 2014/3/12/entrez PY - 2014/3/13/pubmed PY - 2015/5/12/medline KW - HS-SPME-GC-MS KW - cherry wines KW - multivariate analysis KW - sensory properties KW - volatiles SP - C284 EP - 94 JF - Journal of food science JO - J Food Sci VL - 79 IS - 3 N2 - UNLABELLED: 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. SN - 1750-3841 UR - https://www.unboundmedicine.com/medline/citation/24611827/Discrimination_of_cherry_wines_based_on_their_sensory_properties_and_aromatic_fingerprinting_using_HS_SPME_GC_MS_and_multivariate_analysis_ DB - PRIME DP - Unbound Medicine ER -