Using Infrared Spectroscopy and Multivariate Analysis to Detect Antibiotics’ Resistant Escherichia coli Bacteria

Bacterial pathogens are one of the primary causes of human morbidity worldwide. Historically, antibiotics have been highly effective against most bacterial pathogens; however, the increasing resistance of bacteria to a broad spectrum of commonly used antibiotics has become a global health-care probl...

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Bibliographic Details
Published in:Analytical chemistry (Washington) 2017-09, Vol.89 (17), p.8782-8790
Main Authors: Sharaha, Uraib, Rodriguez-Diaz, Eladio, Riesenberg, Klaris, Bigio, Irving J, Huleihel, Mahmoud, Salman, Ahmad
Format: Article
Language:English
Subjects:
Analytical chemistry
Antibiotics
Bacteria
Biological properties
Biological samples
Ceftazidime
Chemistry
Colonies
Computer applications
E coli
Gentamicin
Global health
Historical account
Infrared analysis
Infrared spectroscopy
Microscopy
Morbidity
Multivariate analysis
Nalidixic acid
Nitrofurantoin
Ofloxacin
Pathogens
Pattern recognition
Spectroscopy
Spectrum analysis
Statistical analysis
Statistical methods
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Summary:Bacterial pathogens are one of the primary causes of human morbidity worldwide. Historically, antibiotics have been highly effective against most bacterial pathogens; however, the increasing resistance of bacteria to a broad spectrum of commonly used antibiotics has become a global health-care problem. Early and rapid determination of bacterial susceptibility to antibiotics has become essential in many clinical settings and, sometimes, can save lives. Currently classical procedures require at least 48 h for determining bacterial susceptibility, which can constitute a life-threatening delay for effective treatment. Infrared (IR) microscopy is a rapid and inexpensive technique, which has been used successfully for the detection and identification of various biological samples; nonetheless, its true potential in routine clinical diagnosis has not yet been established. In this study, we evaluated the potential of this technique for rapid identification of bacterial susceptibility to specific antibiotics based on the IR spectra of the bacteria. IR spectroscopy was conducted on bacterial colonies, obtained after 24 h culture from patients’ samples. An IR microscope was utilized, and a computational classification method was developed to analyze the IR spectra by novel pattern-recognition and statistical tools, to determine E. coli susceptibility within a few minutes to different antibiotics, gentamicin, ceftazidime, nitrofurantoin, nalidixic acid, ofloxacin. Our results show that it was possible to classify the tested bacteria into sensitive and resistant types, with success rates as high as 85% for a number of examined antibiotics. These promising results open the potential of this technique for faster determination of bacterial susceptibility to certain antibiotics.
ISSN:0003-2700
1520-6882
DOI:10.1021/acs.analchem.7b01025