ArticleNature nanotechnology2013
Rapid detection of bacterial resistance to antibiotics using AFM cantilevers as nanomechanical sensors.
Article in Nature nanotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.
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Who cites it
121 citing papers in PubMed.
- PMAxx dye-assisted colorimetric dual DNAzyme-LAMP (PD-cDDLAMP) for rapid phenotypic antimicrobial susceptibility testing ofMicrobiology spectrum · 2026Article
- Deciphering Anti-Cancer Drug Efficacy Through Nanomechanical Vibrations in Living Gastric Cancer Organoids.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Dielectrophoretic Enrichment Coupled with Impedance Spectroscopy for Real-Time Bacterial Detection and Antibiotic Susceptibility Testing Using an Interdigitated Wave Electrode Array.Sensors (Basel, Switzerland) · 2026Article
- Rapid delineation ofMicrobiology spectrum · 2026Article
- A lab-on-a-silicon-chip platform for all-electrical antibiotic susceptibility tests with a sample-to-results time within 20 minutes.Science advances · 2026Article
- Nanomotion-enabled ultra-rapid antibiotic susceptibility testing with magnetic bead-based pathogen enrichment for accelerated sepsis diagnostics.Scientific reports · 2026Article
- Single-cell vibration analysis for potential diagnostic applications.Biophysical reports · 2026Article
- SERS-Based Universal AST: Rapid Treatment Guidance for Blood-Culture Bacteria before Species Identification.Analytical chemistry · 2026Article
- A rapid method of evaluating cytotoxic drug efficacy using sub-cellular fluctuation imaging.Scientific reports · 2025Article
- High-throughput chip-calorimeter using a BiMicrosystems & nanoengineering · 2025Article
- Rotating Gold Nanomotors for High-Resolution Mapping of Subcellular Nanomotions.Small methods · 2025Article
- Unveiling the real-time behaviour of Staphylococcus aureus through nanomotion sensing.Scientific reports · 2025Article
- Nanomotion-Based Drug Sensitivity Prediction in Ovarian and Colon Cancer Cell Lines Using Machine Learning.ACS pharmacology & translational science · 2025Article
- Review
- Nanomotion technology for testing azithromycin susceptibility ofMicrobiology spectrum · 2025Article
- Real-time evaluation of macozinone activity againstAntimicrobial agents and chemotherapy · 2025Article
- A comprehensive method to analyze single-cell vibrations.Biophysical journal · 2025Article
- Bifurcation-based dynamics and internal resonance in micro ring resonators for MEMS applications.Nonlinear dynamics · 2025Article
- Toward a role for the acoustic field in cells interaction.Frontiers in systems neuroscience · 2025Article
- Nanomechanical detection to empower robust monitoring of sepsis and microbial adaptive immune system-mediated proinflammatory disease.Scientific reports · 2024Article
61 more citing papers are in PubMed but not listed here.
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8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The widespread misuse of drugs has increased the number of multiresistant bacteria, and this means that tools that can rapidly detect and characterize bacterial response to antibiotics are much needed in the management of infections. Various techniques, such as the resazurin-reduction assays, the mycobacterial growth indicator tube or polymerase chain reaction-based methods, have been used to investigate bacterial metabolism and its response to drugs. However, many are relatively expensive or unable to distinguish between living and dead bacteria. Here we show that the fluctuations of highly sensitive atomic force microscope cantilevers can be used to detect low concentrations of bacteria, characterize their metabolism and quantitatively screen (within minutes) their response to antibiotics. We applied this methodology to Escherichia coli and Staphylococcus aureus, showing that live bacteria produced larger cantilever fluctuations than bacteria exposed to antibiotics. Our preliminary experiments suggest that the fluctuation is associated with bacterial metabolism.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.