Abstract
Klebsiella pneumoniae(K. pneumoniae)is one of the most aggressive multidrug-resistant bacteria associated with human infections, resulting in high mortality and morbidity. We obtained 1190K. pneumoniaeisolates from different patients with urinary tract infections. The isolates were measured to determine their susceptibility regarding nine specific antibiotics. This study’s primary goal is to evaluate the potential of infrared spectroscopy in tandem with machine learning to assess the susceptibility ofK. pneumoniaewithin approximately 20 min following the first culture. Our results confirm that it was possible to classify the isolates into sensitive and resistant with a success rate higher than 80% for the tested antibiotics. These results prove the promising potential of infrared spectroscopy as a powerful method for aK. pneumoniaesusceptibility test.
Original language | American English |
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Pages (from-to) | 13426-13433 |
Number of pages | 8 |
Journal | Analytical Chemistry |
Volume | 93 |
Issue number | 40 |
DOIs | |
State | Published - 12 Oct 2021 |
All Science Journal Classification (ASJC) codes
- Analytical Chemistry