ArticleACS omega2017
Fluorescent, Magnetic Multifunctional Carbon Dots for Selective Separation, Identification, and Eradication of Drug-Resistant Superbugs.
Article in ACS omega, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 69 citations in OpenAlex.
- Quantum-Dot-Based Enzyme Biosensor for Rapid Screening of Antibiotic Susceptibility in Urine Samples.ACS omega · 2026Article
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- A Comprehensive Review of Nanomaterials as Potential Weapons against Multidrug-resistantPharmaceutical nanotechnology · 2025Review
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- Magneto-Luminescent Nanocomposites Based on Carbon Dots and Ferrite with Potential for Bioapplication.Nanomaterials (Basel, Switzerland) · 2022Article
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- Tailor made magnetic nanolights: fabrication to cancer theranostics applications.Nanoscale advances · 2021Review
- Fabrication of biocompatible magneto-fluorescence nanoparticles as a platform for fluorescent sensor and magnetic hyperthermia applications.RSC advances · 2021Article
- Bifunctional Carbon Dots-Magnetic and Fluorescent Hybrid Nanoparticles for Diagnostic Applications.Nanomaterials (Basel, Switzerland) · 2020Article
- Nanomedicines for the Delivery of Antimicrobial Peptides (AMPs).Nanomaterials (Basel, Switzerland) · 2020Review
- Carbon Dots as Potent Antimicrobial Agents.Theranostics · 2020Review
- Designing Highly Crystalline Multifunctional Multicolor Luminescence Nanosystem for Tracking Breast Cancer Heterogeneity.Nanoscale advances · 2019Article
- CQDs-Doped Magnetic Electrospun Nanofibers: Fluorescence Self-Display and Adsorption Removal of Mercury(II).ACS omega · 2018Article
- Ultrafine Highly Magnetic Fluorescent γ-FeACS omega · 2018Article
- Fe₃O₄ Nanoparticles in Targeted Drug/Gene Delivery Systems.Materials (Basel, Switzerland) · 2018Review
- Ultrafast Self-Healable Interfaces in Polyurethane Nanocomposites Designed Using Diels-Alder "Click" as an Efficient Microwave Absorber.ACS omega · 2018Article
- pH-Responsive Charge-Conversional and Hemolytic Activities of Magnetic Nanocomposite Particles for Cell-Targeted Hyperthermia.ACS omega · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
The emergence of drug-resistant superbugs remains a major burden to society. As the mortality rate caused by sepsis due to superbugs is more than 40%, accurate identification of blood infections during the early stage will have a huge significance in the clinical setting. Here, we report the synthesis of red/blue fluorescent carbon dot (CD)-attached magnetic nanoparticle-based multicolor multifunctional CD-based nanosystems, which can be used for selective separation and identification of superbugs from infected blood samples. The reported data show that multifunctional fluorescent magneto-CD nanoparticles are capable of isolating Methicillin-resistant
Identifiers
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.