İneklerde İntrauterin Gaz Değişikliklerinin Dijital Olarak İzlenmesi
Özet
Referanslar
Kelton DF, Lissemore KD, Martin RD. Recommendations for recording clinical diseases of dairy cattle. Journal of Dairy Science. 1998;81(9):2502-2509. https://doi.org/10.3168/jds.S0022-0302(98)70142-0
Leblanc SJ. Postpartum uterine disease and reproductive performance: A review. Veterinary Journal. 2008;176(1):102-114. https://doi.org/10.1016/j.tvjl.2007.12.019
Risvanli A, Tanyeri B, Yildirim G, Tatar Y, Gedikpinar M, Kalender H, Safak T, Yuksel B, Karagulle B, Yilmaz O, Kilinc MA. Metrisor: A novel diagnostic method for metritis detection based on sensors and machine learning. Theriogenology. 2024;223:115-121. https://doi.org/10.1016/j.theriogenology.2024.05.002
Gilbert RO. Reproductive tract inflammatory disease in postpartum dairy cows. Türk Veteriner Jinekoloji Derneği Kongresi; 12-15 Ekim, Marmaris, Türkiye, 2017:60-65.
Leblanc SJ, Osawa T, Dubuc J. Reproductive tract defense and disease in postpartum dairy cows. Theriogenology. 2011;76(9):1610-1618. https://doi.org/10.1016/j.theriogenology.2011.07.017
McCarthy MM, Overton MW. Model for metritis severity predicts production losses. Journal of Dairy Science. 2018;101(6):5434-5448. https://doi.org/10.3168/jds.2017-14164
Risco CA, Youngquist RS, Shore MD. Postpartum uterine infections. In: Youngquist RS, Threlfall WR, editors. Current Therapy in Large Animal Theriogenology. Philadelphia: WB Saunders; 2007.
Azawi OI. Postpartum uterine infections in cattle. Animal Reproduction Science. 2008;105(3-4):187-208. https://doi.org/10.1016/j.anireprosci.2008.01.010
Cunha F, Jeon SJ, Daetz R, Vieira-Neto A, Laporta J, Jeong KC, Barbet AF, Risco CA, Galvão KN. Quantifying known and emerging uterine pathogens and evaluating their association with metritis and fever in dairy cows. Theriogenology. 2018;114:25-33. https://doi.org/10.1016/j.theriogenology.2018.03.016
Sheldon IM, Dobson H. Postpartum uterine health in cattle. Animal Reproduction Science. 2004;82-83:295-306. https://doi.org/10.1016/j.anireprosci.2004.04.006
Bicalho ML, Machado VS, Oikonomou G, Gilbert RO, Bicalho RC. Association between virulence factors of Escherichia coli, Fusobacterium necrophorum and Arcanobacterium pyogenes and uterine diseases of dairy cows. Veterinary Microbiology. 2012;157(1-2):125-131. https://doi.org/10.1016/j.vetmic.2011.11.034
Földi J, Kulcsár M, Pécsi A, Huyghe B, De Sa C, Lohuis JA, Cox P, Huszenica GY. Bacterial complications of postpartum uterine involution in cattle. Animal Reproduction Science. 2006;96(3-4):265-281. https://doi.org/10.1016/j.anireprosci.2006.08.006
Sheldon IM, Cronin J, Goetze L, Donoforio G, Schubert HJ. Defining postpartum uterine disease mechanisms. Biology of Reproduction. 2009;81(6):1025-1032. https://doi.org/10.1095/biolreprod.109.077370
Sheldon IM, Williams EJ, Miller A, Nash DM, Herath S. Uterine diseases in cattle after parturition. Veterinary Journal. 2008;176(1):115-121. https://doi.org/10.1016/j.tvjl.2007.12.03
Norell SA, Messley KE. Microbiology Laboratory Manual: Principles and Applications. New Jersey: Prentice-Hall; 1996.
Arda M. Temel Mikrobiyoloji. 4th ed. Ankara: Medisan; 2011.
Aydın M. Bakteri identifikasyonunda kullanılan standart biyokimyasal ve fizyolojik testler. In: Cengiz AT, Mısırlıgil A, Aydın M, editors. Tıp ve Diş Hekimliğinde Genel ve Özel Mikrobiyoloji. Ankara: Güneş Yayınevi; 2004.
Timothy B, Taylor MB. Sniffing bacterial cultures: Tool or hazard? Journal of Clinical Microbiology. 2002;40(10):3877. https://doi.org/10.1128/jcm.40.10.3877.2002
Onbaşılı D, Aslım B. Pseudomonas secondary metabolites. Elektronik Mikrobiyoloji Dergisi. 2011;9(2):25-34.
Aksebzeci BH, Kara S, Asyali MH, Kahraman Y, Er O, Kaya E, Ozbilge H. Classification of microorganism species using discriminant analysis. 14th National Biomedical Engineering Meeting; 20-22 May, Balcova, Izmir, Turkey, 2009:1–4.
Michael JJ, Abbott SL. Bacterial identification for publication: When is enough enough? Journal of Clinical Microbiology. 2002;40(6):1887-1891. https://doi.org/10.1128/jcm.40.6.1887-1891.2002
Amann A, Spanel P, Smith D. Breath analysis: The approach towards clinical applications. Mini Reviews in Medicinal Chemistry. 2007;7(2):115-129. https://doi.org/10.2174/138955707779802606
Kamboures MA, Blake DR, Cooper DM, Newcomb RL, Barker M, Larson JK, Meinardi S, Nussbaum E, Rowland FS. Breath sulfides and pulmonary function in cystic fibrosis. Proceedings of the National Academy of Sciences USA. 2005;102(44):15762-15767. https://doi.org/10.1073/pnas.050726310
Lechner M, Karlseder A, Niederseer D, Lirk P, Neher A, Rieder J, Helbert T. H. pylori infection increases levels of exhaled nitrate. Helicobacter. 2005;10(5):385-390. https://doi.org/10.1111/j.1523-5378.2005.00345.x
Manolis A. The diagnostic potential of breath analysis. Clinical Chemistry. 1983;29(1):5-15.
Allardyce RA, Langford VS, Hill AL, Murdoch DR. Detection of volatile metabolites produced by bacterial growth in blood culture media by selected ion flow tube mass spectrometry (SIFT-MS). Journal of Microbiological Methods. 2006;65(2):361-365. https://doi.org/10.1016/j.mimet.2005.09.003
Aydın M, Günay İ, Köksal F, Serin MS. Taksometri ve bakteriyel identifikasyonda bilgisayar kullanımı. Mikrobiyoloji Bülteni. 1996;30(3):281-287.
Umber BJ, Shin HW, Meinardi S, Leu SY, Zaldivar F, Cooper DM, Blake DR. Gas signatures from Escherichia coli cultures. Clinical and Translational Medicine. 2013;2:1. https://doi.org/10.1186/2001-1326-2-13
Sanny T, Arnaldos M, Kunkel SA, Pagilla KR, Stark BC. Engineering of ethanolic E. coli enhances ethanol production. Applied Microbiology and Biotechnology. 2010;88(5):1103-1112. https://doi.org/10.1007/s00253-010-2817-7
Bunge M, Araghipour N, Mikoviny T, Dunkl J, Schnitzhofer R, Hansel A, Schinner, F, Wisthaler A, Margesin R, Märk TD. On-line monitoring of microbial volatile metabolites by proton transfer reaction-mass spectrometry. Applied and Environmental Microbiology. 2008;74(7):2179-2186. https://doi.org/10.1128/AEM.02069-07
Moularat S, Robine E, Ramalho O, Oturan MA. Detection of fungal VOC fingerprints. Science of the Total Environment. 2008;407(1):139-146. https://doi.org/10.1016/j.scitotenv.2008.08.023
Zhu J, Bean HD, Kuo YM, Hill JE. Fast detection of VOCs from bacterial cultures. Journal of Clinical Microbiology. 2010;48(12):4426-4431. https://doi.org/10.1128/jcm.00392-10
Shin HW, Umber BJ, Meinardi S, Leu SY, Zaldivar F, Blake DR, Cooper D.M. Acetaldehyde and hexanaldehyde from cultured white cells. Journal of Translational Medicine. 2009;7:31. https://doi.org/10.1186/1479-5876-7-31
Huerta-Beristain G, Utrilla J, Hernandez-Chavez G, Bolivar F, Gosset G, Martinez A. Specific ethanol production rate in ethanologenic Escherichia coli strain KO11. Journal of Molecular Microbiology and Biotechnology. 2008;15(1):55-64. https://doi.org/10.1159/000111993
Bajtarevic A, Ager C, Pienz M, Klieber M, Schwarz K, Ligor M, Ligor T. Filipiak, W, Denz H, Fiegl M, Hilbe W, Weiss W, Lukas P, Jamnig H, Hacki M, Haidenberger A., Buszewski B, Miekisch W, Schubert J, Amann A. Noninvasive detection of lung cancer by analysis of exhaled breath. BMC Cancer. 2009;9:348. https://doi.org/10.1186/1471-2407-9-348
Aylıkcı BU, Çolak H. Halitosis: From diagnosis to management. Journal of Natural Science, Biology and Medicine. 2013;4(1):14-23. https://doi.org/10.4103/0976-9668.107255
Kini VV, Pereira R, Padhye A, Kanagotagi S, Pathak T, Gupta H. Diagnosis and treatment of halitosis: An overview. Journal of Contemporary Dentistry. 2012;2(3):89-95. https://doi.org/10.5005/jp-journals-10031-1018
Lee J, Ngo J, Blake D, Meinardi S, Pontello AM, Newcomb R, Galassetti, PR. Predictive models for plasma glucose estimation using breath VOCs. Journal of Applied Physiology. 2009;107(1):155-160. https://doi.org/10.1152/japplphysiol.91657.2008
Ligor M, Ligor T, Bajtarevic A, Ager C, Pienz M, Klieber M, Denz H, Fiegl M, Hilbe, W, Weiss W, Lukas P, Jamnig H, Hackl M, Buszewski B, Miekisch W, Schubert J, Amann A. Determination of VOCs in breath of lung cancer patients. Clinical Chemistry and Laboratory Medicine. 2009;47(5):550-560. https://doi.org/10.1515/CCLM.2009.133
Balasubramanian S, Panigrahi S, Logue CM, Marchello M, Sherwood JS. Identification of Salmonella inoculated beef using a portable electronic nose system. Journal of Rapid Methods & Automation in Microbiology. 2005;13(2):71-95. https://doi.org/10.1111/j.1745-4581.2005.00011.x
Saraoğlu HM. Elektronik burun teknolojisi ve uygulama alanları. Akademik Bilişim Konferansı; 2008:105.
Dutta R, Hines EL, Gardner JW, Boilot P. Bacteria classification using Cyranose 320 electronic nose. Biomedical Engineering Online. 2002;1:1.
Dutta R, Morgan D, Baker N, Gardner JW, Hines EL. Identification of Staphylococcus aureus infections in hospital environment: Electronic nose based approach. Sensors and Actuators B. 2005;109(2):355-362. https://doi.org/10.1016/j.snb.2005.01.013
Fend R, Geddes R, Lesellier S, Vordermeier HM, Corner LA, Gormley E, Costello E, Hewinson RG, Marlin DJ, Woodman AC, Chambers MA. Use of an electronic nose to diagnose Mycobacterium bovis infection in badgers and cattle. Journal of Clinical Microbiology. 2005;43(4):1745-1751. https://doi.org/10.1128/jcm.43.4.1745-1751.2005
Alocilja EC, Ritchie NL, Grooms DL. Protocol development using an electronic nose for differentiating E. coli strains. IEEE Sensors Journal. 2003;3(6):801-805. https://doi.org/10.1109/JSEN.2003.820326
Green GC, Adrian DCC, Rafik AG. Suitability of electronic nose instruments for bacterial discrimination. International Conference of the IEEE Engineering in Medicine and Biology Society; 30 August - 3 September, New York, NY, USA, 2006:1850-1853.
Playne MJ. Propionic and butyric acids. In: Moo-Young M, editor. Comprehensive Biotechnology. Oxford: Pergamon; 2011.
Martin GJ, Knepper A, Zhou B, Pamment NB. Performance of ethanologenic E. coli strain FBR5 during continuous culture on xylose and glucose. Journal of Industrial Microbiology & Biotechnology. 2006;33(10):834-844. https://doi.org/10.1007/s10295-006-0129-9
Sneath PHA. Bergey’s Manual of Systematic Bacteriology. 2nd ed. Los Angeles: Waverly Press; 1986.
Toprak H. Atık Su Arıtma Sistemlerinin Tasarım Esasları. İzmir: Dokuz Eylül Üniversitesi Yayınları; 2011.
Mateju V. Biological denitrification: A review. Enzyme and Microbial Technology. 1992;14(3):170-183.
Boumba VA, Economou V, Kourkoumelis N, Gousia P, Papadopoulou C, Vougiouklakis T. Microbial ethanol production: Experimental study and multivariate evaluations. Forensic Science International. 2012;215(1-3):189-198. https://doi.org/10.1016/j.forsciint.2011.03.003
Novak BJ, Blake DR, Meinardi S, Rowland FS, Pontello A, Cooper DM, Galassetti PR. Exhaled methyl nitrate as marker of hyperglycemia. Proceedings of the National Academy of Sciences USA. 2007;104(40):15613-15618. https://doi.org/10.1073/pnas.0706533104
Na K, Ma H, Park J, Yeo J, Park JU, Bien F. Graphene-based wireless environmental gas sensor. IEEE Sensors Journal. 2016;16(12):5003-5009. https://doi.org/10.1109/JSEN.2016.2531121
Kokabu T, Inoue S, Matsumura Y. Trial for simple gas sensor composed of carbon nanotubes. Chemical Physics Letters. 2015;628:81-84. https://doi.org/10.1016/j.cplett.2015.03.060
Alizadeh N, Pirsa S, Mani-Varnosfaderani A, Alizadeh MS. Design and fabrication of open-tubular array gas sensors based on conducting polypyrrole modified with crown ethers for simultaneous determination of alkylamines. IEEE Sensors Journal. 2015;15(7):4130-4136. https://doi.org/10.1109/JSEN.2015.2411515
Kim HJ, Lee JH. Highly sensitive and selective gas sensors using p-type oxide semiconductors: Overview. Sensors and Actuators B. 2014;192:607-627. https://doi.org/10.1016/j.snb.2013.11.005
Khoshnoud F, de Silva CW. Recent advances in MEMS sensor technology – biomedical applications. IEEE Instrumentation & Measurement Magazine. 2012;15(1):8-14. https://doi.org/10.1109/MIM.2012.6174574
Risvanli A, Tanyeri B, Yildirim G, Tatar Y, Gedikpinar M, Kalender H, Safak T, Yuksel B, Karagulle B, Yilmaz O, Barut C, Kilinc MA. Interpretable artificial intelligence for analyzing changes in gases in the uterine environment of cows. Veterinary Medicine and Science. 2025;11:e70252. https://doi.org/10.1002/vms3.70252
Safak T, Uzun S, Yildirim G, Risvanli A, Tanyeri B, Kalender H, Yuksel B, Karagulle B, Koç Yilmaz O, Kilinc MA. Hybrid explainable artificial intelligence framework for rapid and non-invasive detection of metritis-causing bacteria using volatile organic compounds sensor signals. Veterinary Medicine and Science. 2026, in press.