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A gold nanoparticle colorimetric probe-based biosensor for rapid detection of VIM-2and IMP-1metallo-beta lactamase genes

Authors :
Kadivarian, Sepide
Kooti, Sara
Yazdi, Hossein Ahmadpour
Abiri, Ramin
Rostamian, Mosayeb
Moradi, Jale
Varmira, Kambiz
Alvandi, Amirhooshang
Source :
Sensing and Bio-Sensing Research; 20230101, Issue: Preprints
Publication Year :
2023

Abstract

Despite actions to reduce the prevalence of antibiotic resistance, antibiotic resistance remains a major threat in the treatment and control of infections. Therefore, the development of rapid diagnostic methods plays a significant role in the detection of antibiotic resistance genes and the management of hospital infections. This study aimed to design and develop a gold nanoparticle colorimetric probe-based biosensor was developed for faster and more accurate detection of VIM-2and IMP-1Metallo-Beta-Lactamases (MBLs) genes in different clinical samples. After identifying 248 clinical isolates of bacteria with standard biochemical methods and evaluation of antibiotic resistance and identifying MBL-producing strains, PCR method was carried out for detecting VIM-2and IMP-1genes as a gold standard. Synthesis of AuNPs were done by citrate reduction method and AuNP -IMP-1biosensor was used for detecting IMP-1gene, after functionalization of thiol modified oligonucleotides. AuNP biosensor and IMP-1PCR were compared in terms of detection indices. Method PCR was defined as the gold standard. Bacteria examined, 87 isolates were resistant to carbapenems. Out of the 87 carbapenem-resistant isolates, 85 (34.2%) were phenotypically positive for MBLs. Also, 7 isolates had IMP-1gene, but none of them carried VIM-2gene. The AuNP biosensor had 100% sensitivity, specificity, PPV and NPV, respectively. The final detection limit of IMP-1genomic DNA (LOD) by PCR and AuNP-IMP-1biosensor technique was 0.1 fg/μl (2.5 fg/25 reactions) and 0.001 fg/μl (0.025 fg/25 reaction), respectively. According to the promising results of Diagnostic indices, AuNP biosensor is a more efficient and accurate method for direct and indirect detection of antibiotic resistance genes in clinical samples.

Details

Language :
English
ISSN :
22141804
Issue :
Preprints
Database :
Supplemental Index
Journal :
Sensing and Bio-Sensing Research
Publication Type :
Periodical
Accession number :
ejs63900909
Full Text :
https://doi.org/10.1016/j.sbsr.2023.100588