Bìa tạp chí

 

009bet

Volatile components obtained from oolong teas and preliminary evaluation on consumer preferences for these products

Phan Thi Thanh Hai Cung Thi To Quynh
Published 07/16/2018

Article Details

How to Cite
Phan Thi Thanh Hai, Cung Thi To Quynh. "Volatile components obtained from oolong teas and preliminary evaluation on consumer preferences for these products". Vietnam Journal of Food Control. vol. 1, no. 2, pp. 21-28, 2018
PP
21-28
Counter
591

Main Article Content

Abstract

Six types of oolong tea products from four different regions were investigated. Their volatile components were obtained by Solid Phase Microextraction (SPME) method and analyzed by GC – MS. Results showed that hexanal (ranged from 1.08-1.52%), 6-methyl-5-hepten-2-one (0.55-4.30%), (Z)-linalool oxide (5.44-17.95%), (E)-linalool oxide (4.86-12.13%), linalool (1.23-8.26%), epoxylinalool (0.80-1.16%) and methyl salicylate (0.70-2.51%) could be identified as the major compounds of all six tea products. These products were also classified into 3 groups based on their volatile compositions by Principal Component Analysis (PCA) method. The consumer preference analysis (n = 84) showed a significant difference in odor preference levels of these products.

Keywords:

Oolong tea, Solid Phase Microextraction, volatile component, Principal Component Analysis, consumer preference

References

1. Kumazawa K., Wada Y., and Masauda H. Characterization of epoxydecenal isomers as potent-odorant in black tea (Dimbula) infusion, J. Agric. Food Chem. 54 (13) (2006) 4795-801.
2. Schuh C. and Schieberle P. Characterization of the key aroma compounds in the beverage prepared from Darjeeling black tea: quantitative differences between tea leaves and infusion, J. Agric. Food Chem. 54 (3) (2006) 916-24.
3. Kawakami M. and Kobayashi A. Carotenoid - Derived Aroma Compounds in Tea, in Carotenoid – Derived Aroma Compounds, American Chemical Society (2001) 145-159.
4. Kawakami M. Comparison of Extraction Techniques for Characterizing Tea Aroma and Analysis of Tea by GC-FTIR-MS, in Plant Volatile Analysis, H. Linskens and J.Jackson, Editors. Springer Berlin Heidelberg (1997) 211-229.
5. Lin J., et at. Volatile profile analysis and quality prediction of Longjing tea (Camellia sinensis) by HS-SPME/GC-MS, J.Zhejiang. Univ. Sci.B 13 (12) (2012) 972-80.
6. Jelén H.H., Majcher M., and Dziadas M. Microextraction techniques in the analysis of food flavor compounds: A review, Analytica Chimica Acta 738 (0) (2012) 13-26.
7. Xueli P., et at. Development of regression model to differentiate quality of black tea (Dianhong): correlate aroma properties with instrumental data using multiple linear regression analysis, International Journal of Food Science & Technology 47 (11) (2012) 2372-2379.
8. Li-Fei Wang, Joo-Yeon Lee, Jin-Oh Chung, Joo-Hyun Baik, Sung So, Seung-Kook Park. Discrimination of teas with different degrees of fermentation by SPME-GC analysis of the characteristic volatile flavor compounds. Food chemistry,198 (2) (2008), 196-206.
9. Renu Rawat, Ashu Gulati, G.D. Kiran Babu, Ruchi Acharya, Vijay K.Kaul, Bikram Singh. Characterization of volatile components of Kangra orthodox black tea by gas chromatography-mass spectrometry. Food chemistry, 230 (2) (2007) 229-235.
10. Claire Chabanet - Statistical analysis of sensory profiling data. Graphs for presenting results (PCA and ANOVA), Food Quality and Preference 11, Elsevier (2000).
11. Husson F., Bocquet V., and Pagès J. - Use of confidence ellipse in a PCA applied to sensory analysis application to the comparison of monovarietal ciders, Journal of Sensory Studies 19 (2004) 510-518.
12. Hà Duyên Tư (2009). Kỹ thuật phân tích cảm quan thực phẩm. Nhà xuất bản Khoa học & Kỹ thuật.
13. Jie Lin, Pan Zhang, Zhiqiang Pan, Hairong Xu, Yaoping Luo, Xiaochang Wang. Discrimination of oolong tea (Camelilia sinensis) varieties based on feature extraction and selection from aromatic profiles analysed by HS-SPME/GC-MS. Food chemistry, 141 (1) (2013) 259-265.

 Submit