ArticleACS applied materials & interfaces2017
Rapid Real-Time Antimicrobial Susceptibility Testing with Electrical Sensing on Plastic Microchips with Printed Electrodes.
Article in ACS applied materials & interfaces, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 71 citations in OpenAlex.
- 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
- Electrochemical Biosensing for Antibiotic-Resistant Bacteria: Advances, Challenges, and Future Directions.Micromachines · 2025Review
- Rapid antimicrobial susceptibility tests performed by self-diluting microfluidic chips for drug resistance studies and point-of-care diagnostics.Microsystems & nanoengineering · 2025Article
- Multiplex antibiotic susceptibility testing of urinary tract infections using an electrochemical lab-on-a-chip.Biomedical microdevices · 2024Article
- Microfluidic technologies for advanced antimicrobial susceptibility testing.Biomicrofluidics · 2024Review
- Accurate Prediction of Antimicrobial Susceptibility for Point-of-Care Testing of Urine in Less than 90 Minutes via iPRISM Cassettes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Fiber-integrated cantilever-based nanomechanical biosensors as a tool for rapid antibiotic susceptibility testing.Biomedical optics express · 2023Article
- Electrical Broth Micro-Dilution for Rapid Antibiotic Resistance Testing.ACS sensors · 2023Article
- Advances in the screening of antimicrobial compounds using electrochemical biosensors: is there room for nanomaterials?Analytical and bioanalytical chemistry · 2023Review
- Recent Developments in Electrochemical Sensors for the Detection of Antibiotic-Resistant Bacteria.Pharmaceuticals (Basel, Switzerland) · 2022Review
- A microscopy-compatible temperature regulation system for single-cell phenotype analysis - demonstrated by thermoresponse mapping of microalgae.Lab on a chip · 2021Article
- Affordable automated phenotypic antibiotic susceptibility testing method based on a contactless conductometric sensor.Scientific reports · 2020Article
- Label-Free Electrochemical Microfluidic Chip for the Antimicrobial Susceptibility Testing.Antibiotics (Basel, Switzerland) · 2020Article
- Impedance-Based Biosensing ofMicromachines · 2019Article
- Monitoring of individual bacteria using electro-photonic traps.Biomedical optics express · 2019Article
- Current and Emerging Methods of Antibiotic Susceptibility Testing.Diagnostics (Basel, Switzerland) · 2019Review
- A Rapid Unraveling of the Activity and Antibiotic Susceptibility of Mycobacteria.Antimicrobial agents and chemotherapy · 2019Article
- Identification and Antibiotic-Susceptibility Profiling of Infectious Bacterial Agents: A Review of Current and Future Trends.Biotechnology journal · 2019Review
- Multiplexed Instrument-Free Bar-Chart SpinChip Integrated with Nanoparticle-Mediated Magnetic Aptasensors for Visual Quantitative Detection of Multiple Pathogens.Analytical chemistry · 2018Article
- Detection of Antibiotics and Evaluation of Antibacterial Activity with Screen-Printed Electrodes.Sensors (Basel, Switzerland) · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Rapid antimicrobial susceptibility testing is important for efficient and timely therapeutic decision making. Due to globally spread bacterial resistance, the efficacy of antibiotics is increasingly being impeded. Conventional antibiotic tests rely on bacterial culture, which is time-consuming and can lead to potentially inappropriate antibiotic prescription and up-front broad range of antibiotic use. There is an urgent need to develop point-of-care platform technologies to rapidly detect pathogens, identify the right antibiotics, and monitor mutations to help adjust therapy. Here, we report a biosensor for rapid (<90 min), real time, and label-free bacteria isolation from whole blood and antibiotic susceptibility testing. Target bacteria are captured on flexible plastic-based microchips with printed electrodes using antibodies (30 min), and its electrical response is monitored in the presence and absence of antibiotics over an hour of incubation time. We evaluated the microchip with Escherichia coli and methicillin-resistant Staphylococcus aureus (MRSA) as clinical models with ampicillin, ciprofloxacin, erythromycin, daptomycin, gentamicin, and methicillin antibiotics. The results are compared with the current standard methods, i.e. bacteria viability and conventional antibiogram assays. The technology presented here has the potential to provide precise and rapid bacteria screening and guidance in clinical therapies by identifying the correct antibiotics for pathogens.
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What OpenQuestion holds
Registered trials
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.