ArticleScientific reports2018
Culture-free Antibiotic-susceptibility Determination From Single-bacterium Raman Spectra.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- On-Chip Raman Spectroscopy for Rapid Antimicrobial Susceptibility Testing from Blood Cultures.Analytical chemistry · 2026Article
- From bulk samples to single cells: measurement strategies in Raman-based antibiotic susceptibility testing.Analytical and bioanalytical chemistry · 2026Article
- Efficient extracellular expression and rapid screening of human-like recombinant gelatin in Komagataella phaffii.Scientific reports · 2025Article
- Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic Regression.ACS nano · 2025Article
- Next-generation rapid phenotypic antimicrobial susceptibility testing.Nature communications · 2024Review
- Phenotypic and genotypic perspectives on detection methods for bacterial antimicrobial resistance in a One Health context: research progress and prospects.Archives of microbiology · 2024Review
- Single-cell measurement of microbial growth rate with Raman microspectroscopy.FEMS microbiology ecology · 2024Article
- Article
- Machine learning enabled multiplex detection of periodontal pathogens by surface-enhanced Raman spectroscopy.International journal of biological macromolecules · 2024Article
- Rapid Drug Susceptibility Testing to Preserve Antibiotics.Methods in molecular biology (Clifton, N.J.) · 2024Review
- Sensing of Antibiotic-Bacteria Interactions.Antibiotics (Basel, Switzerland) · 2023Review
- Antibiotic Resistance Diagnosis in ESKAPE Pathogens-A Review on Proteomic Perspective.Diagnostics (Basel, Switzerland) · 2023Review
- Single-cell scattering and auto-fluorescence-based fast antibiotic susceptibility testing for gram-negative and gram-positive bacteria.Frontiers in microbiology · 2023Article
- Opportunities in optical and electrical single-cell technologies to study microbial ecosystems.Frontiers in microbiology · 2023Review
- Antibiotic Susceptibility Testing with Raman Biosensing.Antibiotics (Basel, Switzerland) · 2022Review
- Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning.Scientific reports · 2022Article
- Discriminating cell line specific features of antibiotic-resistant strains of Escherichia coli from Raman spectra via machine learning analysis.Journal of biophotonics · 2022Article
- Diagnosis of Bloodstream Infections: An Evolution of Technologies towards Accurate and Rapid Identification and Antibiotic Susceptibility Testing.Antibiotics (Basel, Switzerland) · 2022Review
- Raman-Deuterium Isotope Probing and Metagenomics Reveal the Drought Tolerance of the Soil Microbiome and Its Promotion of Plant Growth.mSystems · 2022Article
- Rapid Antimicrobial Susceptibility Testing by Stimulated Raman Scattering Imaging of Deuterium Incorporation in a Single Bacterium.Journal of visualized experiments : JoVE · 2022Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Raman spectrometry appears to be an opportunity to perform rapid tests in microbiological diagnostics as it provides phenotype-related information from single bacterial cells thus holding the promise of direct analysis of clinical specimens without any time-consuming growth phase. Here, we demonstrate the feasibility of a rapid antibiotic-susceptibility determination based on the use of Raman spectra acquired on single bacterial cells. After a two-hour preculture step, one susceptible and two resistant E. coli strains were incubated, for only two hours, in the presence of different bactericidal antibiotics (gentamicin, ciprofloxacin, amoxicillin) in a range of concentrations that included the clinical breakpoints used as references in microbial diagnostic. Spectra were acquired and processed to isolate spectral modifications associated with the antibiotic effect. We evidenced an "antibiotic effect signature" which is expressed with specific Raman peaks and the coexistence of three spectral populations in the presence of antibiotic. We devised an algorithm and a test procedure that overcome single-cell heterogeneities to estimate the MIC and determinate the susceptibility phenotype of the tested bacteria using only a few single-cell spectra in four hours only if including the preculture step.
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