Elektronik Burun Sistemlerinin Tasarım İlkeleri

Yıl 2011, Cilt: 25 Sayı: 1, 109 - 118, 01.04.2011

Ünal Kızıl Levent Genç Melis Saçan

Öz

Anahtar Kelimeler

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Elektronik Burun Sistemlerinin Tasarım İlkeleri

Öz

Biyolojik materyallerden yayılan uçucu bileşenleri değerlendirerek, bunların çeşitli özelliklerini belirleyen elektronik burun sistemleri gıda sektörü, çevre kontrolü, insan sağlığı gibi birçok alanda kullanılma olanağı bulmuştur. Bir elektronik burun sistemi, farklı özelliklerin belirlenmesine yarayan sensörler, sinyal toplama ünitesi ve örnek tanımlama yazılımından oluşur. Ticari olarak satılan eburunlar mevcut olmakla birlikte, yüksek maliyetli ve kullanımları zordur. Bu nedenle daha ekonomik ve basit sistemlerin geliştirilmesi gereklidir. Bu çalışma, e-burun sistemlerinin geliştirilmesi, örnek tanımlama modellerinin oluşturulması ve uygulanması için detaylı bilgiler sağlamak amacıyla sunulmuştur

Anahtar Kelimeler

Elektronik burun, sensör sistemleri, yapay sinir ağları

Kaynakça

• Balasubramanian, S., S. Panigrahi, C.M. Louge, M. Marchello, C. Doetkott, H. Gu, J. Sherwood and L. Nolan. 2005. Spoilage identification of beef using an electronic nose system. Transactions of the ASAE, 47(5): 1625-1633.
• Barisci, J., M. Andrew, P. Harris, A. Patridge and G. Wallace. 1997. Development of an electronic nose. Proc. of smart electric nose. SPIE Vol. 3242: 164-171.
• Cannady, J. 1998. Artificial Neural Networks for Misuse Detection. National Information Systems Security Conference.
• Dodd, T.H., S.A. Hale and S.M. Blanchard. 2005. Electronic nose analysis of tilapia storage. Transactions of the ASAE, 47(1): 135-140.
• Gomez, A.H., J. Wang and A.G. Pereira. 2007. Mandarin ripeness monitoring and quality attribute evaluation using an electronic nose technique. American Society of Agricultural and Biological Engineers. 50(6): 2137-2142.
• Hammerstrom, D. 1993. Working with Neural Networks. IEEE Spectrum, July 1993, pp. 46-53
• Kızıl, U. and J.A. Lindley. 2001. Comparison of different techniques in the determination of animal manure characteristics. ASAE/CSAE North Central Sections Conference. Brookings, South Dakota September 28-29, 2001. Paper No: SD 01-106
• Kızıl, U. and J.A. Lindley. 2009. Potential use of gas sensors in beef manure nutrient content estimations. African Journal of Biotechnology. 8 (12), 2790-2795
• Kızıl, U., J.A. Lindley and S. Panigrahi. 2001. Determination of manure characteristics using gas sensors. ASAE Annual International Meeting. Sacramento, California July 29-August 1, 2001. Paper No: 01-1024
• Li C. and P.H. Heinemann. 2007. ANN integrated electronic nose and znose system for apple quality evaluation. Transactions of the ASABE 50(6): 2285-2294
• Machado R.F., D. Laskowski, O. Deffenderfer, T. Burch, S. Zheng, P.J. Mazzone, T. Mekhail, C. Jennings, J.K. Stoller, J. Pyle, J. Duncan, R.A. Dweik and S.C. Erzurum. 2005. Detection of lung cancer by sensor array analyses of exhaled breath. Am. J. Respiratory Critical Care Med. 171: 1286-1291.
• Markom M.A., A.Y. Md. Shakaff, A.H. Adom, N.A. Fikri, S.F. Khan, A.H. Abdullah and C.M.NC Isa. 2007. Development of low cost electronic nose. University Malaysia Perlis. http://hdl.handle.net/123456789/7454.
• Ouellette, J. 1999. Electronic noses sniff out new markets. Industrial Physicist, 5(1): 26-29.
• Pang, L., J. Wang, X. Lu and H. Yu. 2008. Discrimination of storage age for wheat by e- nose. 51 (5): 1707-1712.
• Panigrahi S., U. Kizil, S. Balasubramanyan, C. Doetkott, C. Logue, M. Marchello, H. Gu, A. Kubiak, L. Nolan, J. Schneider and R. Wiens. 2002. Electronic Nose System for Meat Quality Evaluation. ASAE/CIGR Annual International Meeting.Chicago, Illinois July 28 – 31, 2002. Paper No. 026094.
• Qu, G., J.R.R. Feddes, W.W. Armstrong, R.N. Coleman and J.J. Leonard. 2001. Measuring odor concentration with an electronic nose. American Society of Agricultural Engineers, 44(6): 1807-1812.
• Stussi, E.S. Cella, G. Serra, and G. Verier. 1996. Fabrication of conducting polymor patterns for gas sensing by a dry technique. Materials Science and engineering C4 (1996): 27-33.
• Miner, X.L. 2010. Data Mining Add-In for Excel. User Guide. Statistic.com LLC, Arlington, VA, USA. http://www.resample.com/xlminer/
• Younts S, E.C. Alocilja, W.N. Osburn, S. Marquie and D.L. Grooms. 2005. Differentiation of Escherichia coli O157:H7 from non-O157:H7 E. coli serotypes using a gas sensor- based, computer-controlled detection system. Transactions of the ASAE, 45(5): 1681- 1685.
• Zhang, H., J. Wang. 2008. Identification of stored-grain age using electronic nose by ANN. American Society of Agricultural and Biological Engineers 24 (2): 227-231.