Rapid identification of Klebsiella pneumoniae isolates from various samples with biosensor and genotyping
Abstract
The most important cause of Klebsiella spp. contamination of drinking water is the leakage of animal faeces into drinking water sources. Recently, the biosensor technology has quickly begun to replace other methods with its faster finding and reliability. The aim of this study was to investigate the reliability of the biosensor technology in the rapid detection of Klebsiella pneumoniae (K. pneumoniae) and to determine the presence of the relationship between K. pneumoniae isolates isolated from the drinking water thought to be contaminated by animal faeces and the clinical isolates. For this purpose, portable, microfluidic electrochemical sensor device version 2 (V2) was used for the detection of K. pneumoniae and results were confirmed with VITEK MALDI-TOF Mass Spectrometry (VITEK MS) automated system. For the molecular typing of K. pneumoniae isolates, pulsed-field gel electrophoresis (PFGE) and multiple locus variable-number tandem repeat analysis (MLVA) methods were employed and the results were compared. For these bacteria, the most appropriate typing method was tried to be determined comparatively. PFGE analysis indicated the presence of six different strains, while MLVA divided them into 23 clusters. Clonal relationships were viewed between environmental and clinical isolates. The main goal of this paper is to present, the detailed report of the comparison of the samples isolated from drinking water, animal and human faeces for K. pneumoniae. To accomplish of this goal we introduced that MLVA and PFGE methods. Also, gold nanoparticies enhanced electrochemical biosensor device is used for the determination of K. pneumoniae for the first time.
Keywords
References
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Details
Primary Language
English
Subjects
Veterinary Surgery
Journal Section
Research Article
Authors
Sümeyra Savaş
*
0000-0001-5057-9178
Türkiye
Publication Date
September 9, 2019
Submission Date
May 21, 2019
Acceptance Date
August 5, 2019
Published in Issue
Year 2019 Volume: 66 Number: 4