Electronic nose for black tea classification and correlation of measurements with "Tea taster" marks

IEEE Transactions on Instrumentation and Measurement

Volumn 57, Issue 7, 2008, Pages 1313-1321

  Bhattacharyya, Nabarun ^a   Bandyopadhyay, Rajib ^b   Bhuyan, Manabndra ^c   Tudu, Bipan ^b   Ghosh, Devdulal ^a   Jana, Arun ^a  

^a CENTRE FOR DEVELOPMENT OF ADVANCED COMPUTING   (India)

^b JADAVPUR UNIVERSITY   (India)

^c TEZPUR UNIVERSITY   (India)

Author keywords

Artificial neural networks; Electronic nose; Gas sensors; Principal component analysis (PCA); Tea aroma; Tea taster

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; ELECTRONIC NOSE; GAS SENSORS; TEA AROMA; TEA TASTER;

ARTIFICIAL ORGANS; BACKPROPAGATION; BEVERAGES; CHEMICAL SENSORS; GAS DETECTORS; PRINCIPAL COMPONENT ANALYSIS; QUALITY CONTROL; SENSOR NETWORKS;

NEURAL NETWORKS;

EID: 63049087945     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2008.917189     Document Type: Article

References (20)

1. B. Banerjee, Tea Production and Processing. New Delhi, India: Oxford & IBH, 1993.
2. R. Dutta, E. L. Hines, J. W. Gardner, K. R. Kashwan, and M. Bhuyan, "Tea quality prediction using a tin oxide-based electronic nose: An artificial intelligence approach," Sens. Actuators B, Chem., vol. 94, no. 2, pp. 228-237, Sep. 2003.
3. J. Lozano, J. P. Santos, M. Aleixandre, I. Sayago, J. Gutierrez, and M. C. Horrillo, "Identification of typical wine aromas by means of an electronic nose," IEEE Sensors J., vol. 6, no. 1, pp. 173-178, Feb. 2006.
4. B. G. Kermani, S. S. Schiffman, and H. T. Nagle, "Performance of the Levenberg-Marquardt neural network training method in electronic nose applications," Sens. Actuators B, Chem., vol. 110, no. 1, pp. 13-22, Sep. 2005.
5. D. D. H. Boothe and J. W. Arnold, "Electronic nose analysis of volatile compounds from poultry meat samples, fresh and after refrigerated storage," J. Sci. Food Agric., vol. 82, no. 3, pp. 315-322, Jan. 2002.
6. M. O'Connell, G. Valdora, G. Peltzer, and R. Martin Negri, "A practical approach for fish freshness determinations using a portable electronic nose," Sens. Actuators B, Chem., vol. 80, no. 2, pp. 149-154, Nov. 2001.
7. N. Bhattacharyya, S. Seth, B. Tudu, P. Tamuly, A. Jana, D. Ghosh, R. Bandyopadhyay, M. Bhuyan, and S. Sabhapandit, "Detection of optimum fermentation time for black tea manufacturing using electronic nose," Sens. Actuators B, Chem., vol. 122, no. 2, pp. 627-634, Mar. 2007.
8. N. Bhattacharyya, R. Bandyopadhyay, M. Bhyan, A. Ghosh, and R. K. Mudi, "Correlation of multi-sensor array data with 'tasters' panel evaluation for objective assessment of black tea flavour," in Proc. ISOEN, Barcelona, Spain, 2005. [CD-ROM].
9. P. K. Mahanta and S. Baruah, "Relationship between process of withering and aroma characteristics of black tea," J. Sci. Food Agric., vol. 46, no. 4, pp. 461-468, Sep. 1989.
10. R. Wickremasinghe, L. A. Ekanayake, C. C. Rajasingham, and M. J. De Silva, "Changes in polyphenols, amino acids and volatile compounds during fermentation and firing in orthodox processing of tea," J. Nat. Sci. Council Sri Lanka, vol. 7, no. 1, pp. 5-9, Jun. 1979.
11. K. C. Willson and M. N. Clifford, Tea: Cultivation to Consumption. London, U.K.: Chapman & Hall, 1992.
12. M. Bhuyan and S. Borah, "Use of electronic nose in tea industry," in Proc. EAIT, IIT Kgp, India, Dec. 10-12, 2001, pp. 848-853.
13. M. Kawakami, S. Sarma, K. Himizu, Y. Konishi, and A. Kobayashi, "Aroma characteristics of Darjeeling tea," in Proc. Int. Conf. O-CHA (Tea) Culture Sci., Shizuoka, Japan, Nov. 4-6, 2004, pp. 110-116.
14. [Online]. Available: Www.tocklai.net
15. R. Gutierrez-Osuna, "Pattern analysis for machine olfaction: A review," IEEE Sensors J., vol. 2, no. 3, pp. 189-202, Jun. 2002.
16. T. C. Pearce, S. S. Schiffman, H. T. Nagle, and J. W. Gardner, Handbook of Machine Olfaction. Weinheim, Germany: Wiley-VCH, 2002.
17. M. E. Wall, A. Rechtsteiner, and L. M. Rocha, "Singular value decomposition and principal component analysis," in A Practical Approach to Microarray Data Analysis, D. P. Berrar, W. Dubitzky, and M. Granzow, Eds. Norwell, MA: Kluwer, 2003, ch. 5, pp. 91-109.
18. S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd ed. Hong Kong: Pearson Educ. Asia, 2001.
19. T. Poggio and F. Girosi, "Networks for approximation and learning," Proc. IEEE, vol. 78, no. 9, pp. 1481-1497, Sep. 1990.
20. R. E. Shaffer, R. A. McGill, and S. L. Rose-Pehrsson, "Probabilistic neural networks for chemical sensor array pattern recognition: Comparison studies, improvements, and automated outlier detection," Naval Res. Lab., Washington, DC, NRL Formal Rep. 6110-97-9879, 1998.