Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Asian Journal of Agricultural Sciences


Detection of Different Technology on Yunnan Pu'er Tea Aroma Using an Electronic Nose

1Zhou Fang Mei, 1ChenTing, 1ChenYing, 2Liu Yi Jia, 1ZhaoYan and 1Wang Bai Juan
1Yunnan Agricultural University, Yunnan Kunming 650201, China
2University of Washington, Seattle 98105, American
Asian Journal of Agricultural Sciences   2015  2:11-23
http://dx.doi.org/10.19026/ajas.7.2105  |  © The Author(s) 2015
Received: February ‎22, ‎2015  |  Accepted: March ‎20, ‎2015  |  Published: April 15, 2015

Abstract

In this study, we measured 8 kinds of typical Yunnan Pu'er tea utilizing Electronic Nose technology. The analyses are achieved by the software Winmuster and the analyzing methods include Principal Component Analysis (PCA), Linear Diseriminant Analysis (LDA) and loading. The PCA shows that the different aroma of Pu’er tea caused by different processing technic (fermented and unfermented) can be totally (100%) differentiated. The LDA shows that by choosing appropriate discriminant, we can discriminate two kinds of Pu’er tea that are manufactured by the same manufacturer in the same year but proceed by different technic. This illustrates that distinct discrepancy of components of volatiles exist in Pu’er tea proceed by different technic, which can be identified by Electronic Nose. The result of Loading indicates that out of 10 sensors, 3 key sensors labeled as 2, 7, 9 have responded acutely to tea aroma, which have contributed most to the identification. The overall result presents that this new quick and nondestructive technique-Electronic Nose is a effective way to evaluate the quality of tea through aroma, which can be used to the detection of aroma content of Yunnan Pu’er tea because of its excellent discrimination of fermented and unfermented tea.

Keywords:

Aroma, electronic nose, Yunnan Pu,


References

  1. Brezmes, J., P. Cabré, S. Rojo and E. Llobet, 2005. Discrimination between different samples of olive oil using variable select ion techniques and modified fuzzy artmap neural networks [J]. IEEE Sensors J., 5(3): 463-470.
    CrossRef    
  2. Bolin, S., Z. Lei, Z. Ruicong, X. Xingjun and Z. Dazhou, 2011. Aroma quality discrimination of Xihu-Longjing tea by electronic nose [J].Trans. CSAE, 27(Supp.2): 302-306.
  3. Di Natale, C., A. Macagnano, R. Paolesso and et al., 1998. Electronic nose and sensorial an alysis: Comparison of performances in selected case [J]. Sensor Actuators B, 50(2): 246-252.
    CrossRef    
  4. GB/T 22111, 2008. National Standard of People's Republic of China. Geographical Indication Products Pu-erh Tea.
  5. Labreche, S., S. Bazzo, S. Cade and e. chanie, 2005. Shelf life determination by electronic nose: Application to m ilk [J]. Sensors Actuators B: Chem- ical, 106(1): 199-206.
    CrossRef    
  6. Lu, H., Q.L. Li and M.F.Wang, 2006. Analysis of the pathways of the formation of the important aroma materials in Pu'er tea during post-fermentation and aging [J]. J. Southwest Agri. Univ., Natural Sci., 28(5): 820-824.
  7. Panigrahi, S., S. Balasubramanian, H. Gu, C. Logue and M. Marchello, 2006. Neural-network- integrated electronic nose system for identification of spoiled beef [J]. LW T-Food Sci. Technol., 39 (2): 135-145.
  8. Ren, H.T., B. Zhou, K.G. Xia and et al., 2011. Compare analysis of fermentation degree on the aromatic components of pu-erh tea [J]. Food Res. Develop., 32(11).
  9. Rajamabki, T., H.L. Alakomi, T. Ritvanen, E. Skyttäa, M. Smolandera and R. Ahvenainena, 2006. Application of an electronic nose for quality assessment of modified atmosphere packaged poultry meat [J]. Food Control, 17(1): 5-13.
    CrossRef    
  10. Shi, Z., Z. Chuncheng and Y. Changming, 2005. Experimental study on a bionic nose system [J].Trans. Chinese Soc. Agri. Mach., 36(2): 70-72.
  11. Shao, W., 2014. Science Reading on Pu 'er tea Health Benefits [M]. Yunnan Science and Technology Press, China, 2014:1.
  12. Xiaobo, Z., Z. Jiewen, P. Yinfei and H. Xingyi, 2005. Quality Evaluation of apples using electronic nose based on GA-RBF network [J]. Trans. Chinese Soc. Agri. Mach., 36(1): 61-64.
  13. Yu, Y., J. Wang and M. Zhong, 2003. Research developments of electronic nose and its application in processing of agriculture products [J]. J. Zhejiang Univ., Agri. Life Sci., 29(5): 579-584.
  14. Zhou, H., M. Ming, H. Jun and et al., 2003. Research progress in quality formation mechanism of Pu'er tea and its functions [J]. J. Tea, 29(2): 75-77.
  15. Zhao, L., H. Zhou and W. An, 2005. Study on the health functions of Pu 'er tea [J]. Food res. Develop., 26(2): 114-118.
  16. Zhang, D., Z. Shi and Y. Liu, 2005.The progress on pharmacological effects of Pu 'er tea [J] Tea Fujian, 1: 43-44.
  17. Zhang, L., W. Chen, D. Wang and et al., 2007. Effect of drying methods on the aromatic character of Pu'er tea [J]. J. Tea Sci., 27(1): 71-75.

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2041-3890
ISSN (Print):   2041-3882
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved