DETERMINATION of DISINFECTANT RESISTANCE GENES in CLINICAL BACTERIAL ISOLATES

In healthcare settings such as hospitals, bacteria develop resistance to disinfectants, which play a critical role in infection control, through various mechanisms. The presence and expression of efflux pumps are considered one of the key mechanisms of disinfectant resistance. The main objective of this study is to detect the presence of qacA/B, qacC/D, qacE, qacΔE1, qacG, qacH, qacJ, and acrA genes in clinical bacterial isolates and to determine the minimum inhibitory concentrations (MICs) against two different disinfectants: a quaternary ammonium compound and a biguanide. The presence of the related genes was screened in a total of 40 clinical isolates using conventional polymerase chain reaction. Disinfectant susceptibility was determined by the agar dilution method. Species-level identification of the isolates was confirmed by Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) technique. As a result of the screening, 6 isolates (15%), confirmed as E. coli, K. pneumoniae, and P. aeruginosa, were found to possess the qacΔE1 gene. The MIC values for these isolates against benzalkonium chloride and chlorhexidine gluconate were found to be in the range of 32−256 mg/L and 2−16 mg/L, respectively. The findings revealed that there was no direct correlation between the observed MIC values and the presence or absence of biocide resistance genes in the clinical E. coli, K. pneumoniae, and P. aeruginosa isolates studied.

Authors

Institutions

Publication Details

Journal
Adıyaman üniversitesi fen bilimleri dergisi
Published
2026-06-30
DOI
https://doi.org/10.37094/adyujsci.1793461
Primary Topic
Antimicrobial agents and applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DETERMINATION of DISINFECTANT RESISTANCE GENES in CLINICAL BACTERIAL ISOLATES

Dilek UZUNDAĞ, Birgül Özcan, EREN BİÇER
Adıyaman üniversitesi fen bilimleri dergisi
Antimicrobial agents and applications
article

DETERMINATION of DISINFECTANT RESISTANCE GENES in CLINICAL BACTERIAL ISOLATES

Dilek UZUNDAĞ, Birgül Özcan, EREN BİÇER
article en

Abstract

In healthcare settings such as hospitals, bacteria develop resistance to disinfectants, which play a critical role in infection control, through various mechanisms. The presence and expression of efflux pumps are considered one of the key mechanisms of disinfectant resistance. The main objective of this study is to detect the presence of qacA/B, qacC/D, qacE, qacΔE1, qacG, qacH, qacJ, and acrA genes in clinical bacterial isolates and to determine the minimum inhibitory concentrations (MICs) against two different disinfectants: a quaternary ammonium compound and a biguanide. The presence of the related genes was screened in a total of 40 clinical isolates using conventional polymerase chain reaction. Disinfectant susceptibility was determined by the agar dilution method. Species-level identification of the isolates was confirmed by Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) technique. As a result of the screening, 6 isolates (15%), confirmed as E. coli, K. pneumoniae, and P. aeruginosa, were found to possess the qacΔE1 gene. The MIC values for these isolates against benzalkonium chloride and chlorhexidine gluconate were found to be in the range of 32−256 mg/L and 2−16 mg/L, respectively. The findings revealed that there was no direct correlation between the observed MIC values and the presence or absence of biocide resistance genes in the clinical E. coli, K. pneumoniae, and P. aeruginosa isolates studied.

Adıyaman üniversitesi fen bilimleri dergisiVol. 16(1)
Mustafa Kemal University (TR)
Openalex Percentile: Top 14%
Antimicrobial agents and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.