AI Article Synopsis

  • * This study focuses on analyzing volatile organic compounds (VOCs) produced by bacteria to identify differences between antibiotic-resistant and susceptible strains in urinary tract infections.
  • * By detecting six specific VOCs, the research achieved an 85.7% accuracy in distinguishing between the two types of bacteria, suggesting that this method could lead to faster and more efficient diagnostic techniques in the future.

Article Abstract

Antibiotic resistance is an unprecedented threat to modern medicine. The analysis of volatile organic compounds (VOCs) from bacteria potentially offers a rapid way to determine antibiotic susceptibility in bacteria. This study aimed to find the optimal conditions to obtain the maximum number of VOCs detected which next allowed the assessment of differences in VOC profiles between susceptible and resistant isolates of causing urinary tract infections. The analysis of VOCs in the headspace above the bacterial cultures allowed the distinguishing of resistant and susceptible bacteria based on the abundance of six VOCs with 85.7% overall accuracy. The results of this preliminary study are promising, and with development could lead to a practical, faster diagnostic method for use in routine microbiology.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7697827PMC
http://dx.doi.org/10.3390/antibiotics9110797DOI Listing

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