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Indonesian Journal of Clinical Pathology and Medical Laboratory

ISSN 0854-4263

Vol. 19 / No. 2 / Published : 2013-01

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Original Article :

Gram negative and gram positive aerobic bacteria identification using conventional and automatic method

Identifikasi bakteri aerob gram negatif dan gram positif menggunakan metode konvensional dan otomatik

Author :

  1. Patricia M. Tauran --> Bag PK FK-UNHAS Makassar
  2. Irda Handayani --> Bag PK FK-UNHAS Makassar
  3. Nurhayana Sennang --> Bag PK FK-UNHAS Makassar

Abstract :

Choosing the method of bacteria identification is crucial to obtain accurate and quick results. This study will analyze the identification results of Gram negative and Gram positive from aerobic bacteria by examination using conventional and automatic methods at Dr. Wahidin Sudirohusodo Hospital Laboratory. A total of 85 samples consisting of 66 Gram negative bacteria and 19 Gram positive bacteria were identified using conventional and automated methods. In this study, there was some correspondent identification result between the conventional as well as the automated methods, namely 31.5% for Gram negative bacteria and 30.8% for Gram positive bacteria. However, the non-correspondent identification result between conventional and automated methods was found greater, namely, 68.5% for Gram negative bacteria and 69.2% for Gram positive bacteria. The non-correspondent identification result was due to the development of bacterial taxonomy and the differences of numbers and types of the biochemical tests between conventional and automatic methods. Bacteria identification using automated method is more accurate and faster than the conventional method, so it is recommended using this particularly for the laboratory and educational referral center.     Pemilihan metode identifikasi bakteri sangat penting untuk mendapatkan hasil yang tepat dan cepat. Penelitian ini adalah untuk mengetahui hasil menganalisis identifikasi bakteri aerob Gram negatif dan Gram positif menggunakan metode konvensional dan otomatik di laboratorium RS Dr. Wahidin Sudirohusodo. Sebanyak 85 sampel yang terdiri dari 66 bakteri Gram negatif dan 19 Gram positif diidentifikasi mengunakan metode konvensional dan otomatik. Di telitian ini didapatkan kesesuaian hasil identifikasi antara metode konvensional dan otomatik, yaitu 31,5% untuk bakteri Gram negatif dan 30,8% untuk Gram positif. Namun, ditemukan bahwa ketidaksesuaian hasil identifikasi antara metode konvensional dan otomatik tersebut lebih besar yaitu 68,5% untuk bakteri Gram negatif dan 69,2% untuk Gram positif. Ketidaksesuaian hasil identifikasi ini disebabkan karena perkembangan penggolongan ilmiah (taksonomi) serta jumlah dan jenis uji biokimiawi yang berbeda antara metode konvensional dan otomatik. Identifikasi bakteri dengan metode otomatik lebih tepat dan cepat dibandingkan dengan yang konvensional, sehingga disarankan penggunaan cara tersebut terutama bagi laboratorium di pusat rujukan dan pendidikan  

Keyword :

Identification of aerobic bacteria, gram positive bacteria, gram negative bacteria, conventional method, automatic method,

References :

  1. O’Hara CM, (2005). Manual and Automated Instrumentation for Identification of Enterobacteriaceae and other Aerobic Gram-Negative Bacilli. USA : Clin. Microbiol. Rev
  2. Sutton Scott, (2006). How Do You Decide Which Microbial Identification System is Best? . New York : The Microbiology Network
  3. Mahon CR, Lehman DC, (2011). Biochemical Identification of Gram-Negative Bacteria. Missouri : WB Saunders Company
  4. 4. Ligozzi M, Bernini C, Bonora MG, Fatima M, Zuliani J, Fontana R, (2002). Evaluation of the VITEK 2 System for Identification and Antimicrobial Susceptibility Testing of Medically Relevant Gram-Positive Cocci. USA : J. Clin. Microbiol
  5. Pincus DH, (2006). Microbial Identification Using The Biomerieux Vitek 2 System. USA : Encyclopedia of Rapid Microbiological Methods. Volume II


Archive Article

Cover Media Content

Volume : 19 / No. : 2 / Pub. : 2013-01
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  2. Gandarusa (justicia gendarussa burm.f.) water and expression of hyaluronidase gene by pcr analysis
  3. Proteinuria in stroke with and without diabetic
  4. The stewart’s approach in blood ph underlying metabolic acidosis
  5. Microbes and antimicrobial sensitivity in open fracture
  6. Katekin from green tea leaves (camellia sinensis) to malondialdehyde (mda) and super oxide dismutase (sod)
  7. Procalcitonin and interleukin-6 in sepsis systemic inflammatory response syndrome (sirs)
  8. Gram negative and gram positive aerobic bacteria identification using conventional and automatic method
  9. Immature platelet fraction (ipf) and thrombopoietin in liver cirrhosis
  10. Eosinopenia and procalcitonin in sepsis
  11. C-x-c receptor 4 (cxcr4) in metastasis of breast cancer
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