ArticleInternational journal of nanomedicine2022
Screening of Chitosan Derivatives-Carbon Dots Based on Antibacterial Activity and Application in Anti-
Article in International journal of nanomedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 54 citations in OpenAlex.
- Fluorescent Poly(vinyl alcohol) Composite Films Incorporating Doped Carbon Dots for Heavy Metal Detection in Smart Packaging Applications.ACS omega · 2026Article
- Food-Derived Carbon Dots: Formation, Detection, and Impact on Gut Microbiota.Foods (Basel, Switzerland) · 2025Review
- Effect of temperature on the carbonization process of cationic carbon dots: a physicochemical andRSC advances · 2025Article
- Antibacterial carbon dots.Materials today. Bio · 2025Review
- Chitosan-Based Multifunctional Biomaterials as Active Agents or Delivery Systems for Antibacterial Therapy.Bioengineering (Basel, Switzerland) · 2024Review
- Combined transcriptome and metabolome analysis revealed the antimicrobial mechanism of Griseorhodin C against Methicillin-resistant Staphylococcus aureus.Scientific reports · 2024Article
- Quaternary Ammonium Salts-Based Materials: A Review on Environmental Toxicity, Anti-Fouling Mechanisms and Applications in Marine and Water Treatment Industries.Biomolecules · 2024Review
- Fluorescent carbon dots for labeling of bacteria: mechanism and prospects-a review.Analytical and bioanalytical chemistry · 2024Review
- Assessment of the ability of Pseudomonas aeruginosa and Staphylococcus aureus to create biofilms during wound healing in a rat model treated with carboxymethyl cellulose/carboxymethyl chitosan hydrogel containing EDTA.International wound journal · 2024Article
- Carbon Dot Based Carbon Nanoparticles as Potent Antimicrobial, Antiviral, and Anticancer Agents.ACS omega · 2024Review
- Newly designed nanoparticle-drug delivery systems againstInternational journal of clinical and experimental pathology · 2024Review
- Carbon Quantum Dots Based on Marine Polysaccharides: Types, Synthesis, and Applications.Marine drugs · 2023Review
- Recent progress in carbon dots for anti-pathogen applications in oral cavity.Frontiers in cellular and infection microbiology · 2023Review
- Development of Apremilast Nanoemulsion-Loaded Chitosan Gels: In Vitro Evaluations and Anti-Inflammatory and Wound Healing Studies on a Rat Model.Gels (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Pathogenic bacteria, especially the ones with highly organized, systematic aggregating bacteria biofilm, would cause great harm to human health. The development of highly efficient antibacterial and antibiofilm functional fluorescent nanomaterial would be of great significance. Methods: This paper reports the preparation of a series of antibacterial functional carbon dots (CDs) with chitosan (CS) and its derivatives as raw materials through one-step route, and the impact of various experiment parameters upon the optical properties and the antibacterial abilities have been explored, including the structures of the raw materials, excipients, and solvents. Results: The CDs prepared by quaternary ammonium salt of chitosan (QCS) and ethylenediamine (EDA) exhibit multiple antibacterial effects through membrane breaking, DNA and protein destroying, and the production of singlet oxygen. The CDs showed excellent broad-spectrum inhibitory activity against a variety of bacteria (Gram-positive and negative bacteria), in particular, to the biofilm of Conclusion: This paper explored the preparation and application of functional CDs, which can be used as the visual probe and therapeutic agents in the treatment of infections caused by bacteria and biofilm.
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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.