ArticleAnalytical and bioanalytical chemistry2022
Detection of multi-resistant clinical strains of E. coli with Raman spectroscopy.
Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Online Raman spectroscopy-guided strategy for efficient production of DNA recombinase UvsX in Escherichia coli.Analytical and bioanalytical chemistry · 2026Article
- Label-Free Differentiation of Antimicrobial Resistance Groups Using Raman Spectroscopy.Analytical chemistry · 2026Article
- Exosome-mediated modulation of macrophage polarization and inflammation in early Klebsiella pneumoniae lung infections.Clinical science (London, England : 1979) · 2025Article
- Fluorescence Spectroscopy Based Identification of Pseudomonas Aeruginosa and Escherichia Coli Suspensions.Journal of fluorescence · 2025Article
- Resilient sustainable current and emerging technologies for foodborne pathogen detection.Sustainable food technology · 2025Review
- Detecting antibiotic resistance: classical, molecular, advanced bioengineering, and AI-enhanced approaches.Frontiers in microbiology · 2025Review
- Ferrimagnetic Tb/Co multilayers patterned by ion bombardment as substrates for magnetophoresis.Scientific reports · 2024Article
- Tackling the Antimicrobial Resistance "Pandemic" with Machine Learning Tools: A Summary of Available Evidence.Microorganisms · 2024Review
- Illuminating the Tiny World: A Navigation Guide for Proper Raman Studies on Microorganisms.Molecules (Basel, Switzerland) · 2024Review
- Artificial intelligence applications in the diagnosis and treatment of bacterial infections.Frontiers in microbiology · 2024Review
- Recent advances of Raman spectroscopy for the analysis of bacteria.Analytical science advances · 2023Review
- Comparison of Different Label-Free Raman Spectroscopy Approaches for the Discrimination of Clinical MRSA and MSSA Isolates.Microbiology spectrum · 2022Article
- Recent Progress in Spectroscopic Methods for the Detection of Foodborne Pathogenic Bacteria.Biosensors · 2022Review
- Article
- Phenotypic convergence of bacterial adaption to sub-lethal antibiotic treatment.Frontiers in cellular and infection microbiology · 2022Article
- Raman Spectroscopy-A Novel Method for Identification and Characterization of Microbes on a Single-Cell Level in Clinical Settings.Frontiers in cellular and infection microbiology · 2022Review
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6 authors.
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Abstract
In recent years, we have seen a steady rise in the prevalence of antibiotic-resistant bacteria. This creates many challenges in treating patients who carry these infections, as well as stopping and preventing outbreaks. Identifying these resistant bacteria is critical for treatment decisions and epidemiological studies. However, current methods for identification of resistance either require long cultivation steps or expensive reagents. Raman spectroscopy has been shown in the past to enable the rapid identification of bacterial strains from single cells and cultures. In this study, Raman spectroscopy was applied for the differentiation of resistant and sensitive strains of Escherichia coli. Our focus was on clinical multi-resistant (extended-spectrum β-lactam and carbapenem-resistant) bacteria from hospital patients. The spectra were collected using both UV resonance Raman spectroscopy in bulk and single-cell Raman microspectroscopy, without exposure to antibiotics. We found resistant strains have a higher nucleic acid/protein ratio, and used the spectra to train a machine learning model that differentiates resistant and sensitive strains. In addition, we applied a majority of voting system to both improve the accuracy of our models and make them more applicable for a clinical setting. This method could allow rapid and accurate identification of antibiotic resistant bacteria, and thus improve public health.
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