KÖK KANALLARINDA SIKLIKLA GÖRÜLEN ÜÇ MİKROORGANİZMANIN ELEKTRONİK BURUN SİSTEMİ KULLANILARAK SINIFLANDIRILMASI

Abstract

Pulpa ve periradiküler doku hastalıklarının çoğu hem aerop hem de anaerop mikroorganizmaları içeren karışık bir mikroflora ile ilişkilidir. Hekim tedavi ile ilgili etkili bir yöntem belirleyebilmek için mikroorganizma varlığı ile endodontik hastalık arasındaki yakın ilişkiyi kavramalıdır. Endodontik enfeksiyonlardaki bakteri türlerini ortaya çıkarmak kullanılmaktadır. Son yıllarda moleküler yöntemlerdeki gelişmelere rağmen her iki metodun da bir takım dezavantajları bulunmaktadır. Elektronik burun (EB) terimi, insan koku duyusunu taklit edebilen bir elektronik sistemi tanımlar. Elektronik burun sistemleri tıp alanında ve kullanılmaktadır. Bu sistemlerinin en önemli özelliği, koku çeşitlerini çok kısa bir süre içerisinde insan burnundaki hassasiyet derecesinde algılayıp ayrıştırabilmesi ve sonucu objektif olarak sunmasıdır. Bu çalışmada, kök kanal mikroorganizma türünün saf kültüründen elektronik burun sistemi kullanılarak koku verileri alınmıştır. Bu veriler Ayırma sınıflandırılmış, Mahalanobis ve ikinci dereceden fonksiyonlar (quadratic) olmak üzere 3 ayrı metodun performansı incelenmiştir. Mahalanobis ve ikinci dereceden fonksiyonlar kullanarak gerçekleştirilen AA ile sınıflandırmada % 100 başarı elde edilmiştir. Bu çalışma ile EB cihazının, mikroorganizma süspansiyonlarının araştırılmıştır

Keywords

• Elektronik burun, kök kanal enfeksiyonu, mikrobiyoloji, bakteri, mantar

Classification of Three Microorganism Species Frequently Seen in Root Canals Using Electronic Nose System

Abstract

Most diseases of pulp and periradicular tissues are associated with mixed microflora including both aerobic and anaerobic microorganisms. Clinicians must understand the close relationship between the presence of microorganisms and endodontic disease process to determine an effective procedure with respect to the treatment. Culture and molecular methods are used to detect bacterial species in root canal infections. Despite the advances in molecular methods recently, both the culture and the molecular methods have several disadvantages. The term electronic nose describes an electronic system that is able to mimic the human sense of smell. Electronic nose systems have already been used with success in the medical science and microbiological research. The most important property of electronic nose systems is the ability to detect different odour types in a short period of time with almost sensivity of human nose. Furthermore, the result of process using electronic nose system is objective. In this study, odour data was taken by using an electronic nose equipment from pure cultures of three microorganisms which are frequently seen in root canal infections.These datas were classified using Discriminant Analysis (DA) and investigated the performance of several subtypes of DA algorithm namely linear, Mahalanobis and quadratic. The success rate acquired from the classification using Mahalonobis and quadratic approach of DA was 100%. In this study, the use of electronic nose in the classifacation of microorganism suspensions was investigated

Keywords

• Electronic nose, root canal infection, microbiology, bacteria, fungi

References

1. Nair PN, Sjögren U, Gunthild K, Kahnberg K.E, Sundqvist G. Intraradicular bacteria and fungi in root-filled, asemptomatic human teeth with therapy-resistant periapical lesions: A long-term light and electron microscopic follow-up study. J Endod 1990; 16: 580- 588.
2. Miller W. An introduction in the study of the bacteriopathology of the dental pulp. Dent Cosmos 1894; 36: 505- 527.
3. Sundqvist G. Taxonomy, ecology, and pathogenicity of the root canal flora. Oral Surg Oral Med Oral Pathol 1994; 78: 522- 530.
4. Le Goff A, Bunetel L, Mounton C, Bonnaure- Mallet M. Evaluation of root canal bacteria and their antimicrobial susceptibility in teeth with necrotic pulp. Oral Microbiol Immunol 1997; 12: 318- 322.
5. Chavez de Paz L. Gram-Pozitive organisms in endodontic infections. Endod Topics 2004; 9: 79- 96.
6. Waltimo TM, Siren EK, Torkko HL, Olsen I, Haapasalo MP. Fungi in therapy-resistant apical periodontitis. Int Endod J 1997; 30: 96- 101.
7. Zambon JJ, Haraszthy VI. The laboratory diagnosis of Periodontol 2000 1995; 7: 69- 82.
8. Röck F, Barsan N, Weimar U. Electronic nose: current status and future trends. Chem Rev 2008; 108: 705- 725.

9. James D, Scott SM, Zulfiqur A, O’Hare WT. Chemical sensors for electronic nose systems. Microchimica Acta 2005; 149: 1- 17.
10. Pavlou A.K, Magan N, McNulty C, Jones J.M, Sharp D, Brown J, Turner A.P.F. Use of an electronic nose system for diagnoses of urinary tract. Biosens Bioelectron 2002; 17: 893- 899.
11. Gardner J.W, Shin H.W, Hines E.L. An electronic nose system to diagnose illness. Sen- sor Actuat B-Chem 2000; 70: 19- 24.
12. Natale C.D, Macagnano A, Martinelli E, Paolesse R, D’Arcangello G, Roscioni CA, Agro F, D’Amico A. Lung cancer identification by the analysis of breath by means of an array of non-selective gas sensors. Biosens Bioelectron 2003; 18: 1209- 1218.
13. Lin Y.J, Guo H.R, Chang Y.H, Kao M.T, Wang H.H, Hong R.I. Application of the electronic nose for uremia diagnosis. Sensor Actuat B- Chem B 2001; 76: 177- 180.
14. Dutta R, Hines EL, Gardner JW, Boilot P. Bacteria classification using Cyranose 320 electronic nose. BioMed Eng OnLine 2002: 1; 1- 4.
15. Boilot P, Hines EL, Gardner JW, Pitt R, John S, Mitchell J, Morgan DW. Classification of bacteria responsible for ENT and eye infections using the Cyranose system. IEEE Sens J 2002; 2: 247- 253.
16. Shykhon ME, Morgan DW, Dutta R, Hines EL, Gardner JW. Clinical evaluation of the electronic nose in the diagnosis of ear, nose and throat infection: a preliminary study. 2004 J Laryngol Otol 118; 706- 709.
17. Dutta R, Morgan D, Baker N, Gardner JW, Hines EL. Identification of Staphylococcus aureus infections in hospital environment: electronic nose based approach. Sensor Actuat B-Chem 2005; 109: 355- 362.
18. Gibson TD, Prosser O, Hulbert JN, Marshall RW, Corcoran P. Detection and simultaneous identification of microorganisms from headspace samples using an electronic nose. Sensor Actuat B-Chem 1997; 44: 413- 422.
19. McEntegart CM, Penrose WR, Strathmann S, Stetter JR. Detection and discrimination of coliform bacteria with gas sensor arrays. Sen- sor Actuat B-Chem 2000; 70: 170- 176.
20. Pavlou A, Turner APF, Magan N. Recognition of anaerobic bacterial isolates in vitro using electronic nose technology. Lett Appl Microbiol 2002; 35: 366- 369.
21. Özdamar K. Paket programlar ile istatistiksel veri analizi. 5. Baskı. Kaan kitabevi, Eskişehir, 2004; ss 355- 415.
22. Baumgartner JC, Hutter JW. Endodontic microbiology and treatment of infections. In Cohen S, Hargreaves KM eds. Pathways of the pulp 9th edn, Mosby, Philadelphia, 2006; pp 580- 607.
23. Kakehashi S, Stanley HR, Fitzgerald RJ. The effects of surgical exposures of dental pulps in germ-free and conventional laboratory rats. Oral Surg 1965; 20: 340- 349.
24. Stuart CH, Schwartz SA, Beeson TJ. Enterococcus faecalis: its role in root canal treatment failure and current concepts in retreatment. J End 2006; 32: 93- 98.
25. Sundqvist G, Sohansson E, Sjögren U. Prevalance of black pigmented bacteriodes species in root canal infections. J Endod 1989; 15: 13- 19.
26. Roças IN, Siqueira JF Jr, Andrade AFB, Uzeda M. Identification of selected putative oral pathogens in primary root canal infections associated with symptoms. Anaerobe 2002; 8: 200- 208.
27. Baumgartner JC, Watts CM, Xia T. Occurence of Candida albicans in infections of endodontic origin. J Endod 2000; 26: 695- 698.
28. Sundqvist G, Figdor D, Persson S, Sjögren U. Microbiologic analysis of teeth with failed endodontic treatment and the outcome of conservative re-treatment. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 1998; 85: 86- 93.
29. Neiders M, Brigette R. Operation of bad breath clinics. Proceedings of the Third International Conference on Breath Odor. Quintessence Int 1999; 30: 295- 301.
30. Siqueira JF Jr. Endodontic infections: concepts, paradigms, and perspectives. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2002; 94: 281- 293.
31. Sundqvist G, Figdor D. Life as an endodontic pathogen. Endod Topics 2003; 6: 3- 28.
32. Lai SY, Deffenderfer OF, Hanson W, Philips MP, Thaler ER. Identification of upper respiratory bacterial pathogens with the electronic nose. The Laryngoscope 2002; 112: 975- 979.
33. Dutta R, Das A, Stocks NG, Morgan D. Stochastic resonance-based electronic nose: A novel way to classify bacteria. Sensor Actuat B -Chem 2006;115:17- 27.