ReviewBritish journal of biomedical science2026
Carbon Quantum Dots as Versatile Nanosystems for Biomedical Innovation: Mechanisms, Applications, and Translational Prospects.
Review in British journal of biomedical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Green synthesis of carbon dots from Gardeniae Fructus Carbonisata for enhanced gastrointestinal mucosal protection.RSC advances · 2026Article
- Carbon Quantum Dots-Enhanced Polyvinyl Alcohol: A Comprehensive Approach to Food Preservation.Comprehensive reviews in food science and food safety · 2026Review
- Advances in green-synthesized quantum dot-based nanoplatforms for cancer treatment, photodynamic therapy, photothermal therapy and cancer theranostics.RSC advances · 2026Review
- A critical review on antibacterial mechanisms of carbon dots: a comprehensive approach to combating multidrug resistance.Archives of microbiology · 2026Review
- Andrographolide-Loaded Gold Carbon Quantum Dots and Their Doped Derivatives for Enhanced Hydrophilicity in a Drug Delivery System.Pharmaceutics · 2026Article
- Carbon Dots in Nanomedicine: Advanced Fabrication, Biomedical Applications, and Future Clinical Perspectives.Pharmaceutics · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Carbon quantum dots (CQDs) represent a rapidly developing class of fluorescent nanomaterials with increasing relevance in biomedical research and application. Their tuneable photoluminescence (PL), favourable biocompatibility, and versatile surface chemistry has supported applications in bioimaging, biosensing, and therapeutic strategies. Advances in top-down, bottom-up, and green synthesis routes have improved control over emission profiles, heteroatom doping, and surface functionalisation. Recent work has begun to elucidate how synthesis conditions and surface states govern biological interactions, intracellular transport, and subcellular localisation. This review provides an updated, mechanistic evaluation of these developments, with particular emphasis on how defined structural attributes influence antimicrobial activity, organelle-specific targeting, and integrated imaging-therapy platforms. Despite these advances, significant challenges continue to hinder clinical translation. These include variability in synthesis protocols, inconsistent batch-to-batch reproducibility, and insufficient data on long-term toxicity and biodistribution. The absence of standardised characterisation frameworks and clear regulatory pathways further complicate translational progress. Through critically linking synthesis strategies to surface chemistry and biological behaviour, this review depicts key design considerations necessary for advancing CQDs toward clinical application in next-generation nanomedicine.
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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.