ArticlePharmaceuticals (Basel, Switzerland)2023
Carbon Dots-Biomembrane Interactions and Their Implications for Cellular Drug Delivery.
Article in Pharmaceuticals (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 11 citations in OpenAlex.
- Carbonaceous materials derived from corn cob wasteRSC advances · 2026Article
- Surface-Engineered Nitrogen-Doped Carbon Dots with Quaternary Ammonium for Fluorescent Sensing, Antioxidant, and Antibacterial Applications.ACS omega · 2026Article
- Carbon Nanodot-enabled Fluorescent Nerve Conduits for Peripheral Nerve Repair: A Systematic Review of Translational Readiness.Plastic and reconstructive surgery. Global open · 2026Article
- Boron-Doped Carbon Dots for Organelle Labeling and Mitochondrial Bioimaging.Methods and protocols · 2026Article
- Hydrophilic and Lipophilic Carbon Dots Impart Thermosensitivity to Doxorubicin Loaded Phospholipid Liposomes.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Encapsulation of carbon dots in medicinal chemistry: a comprehensive review of recent advances and applications.RSC advances · 2026Review
- Carbon Dots and Biomimetic Membrane Systems: Mechanistic Interactions and Hybrid Nano-Lipid Platforms.Nanomaterials (Basel, Switzerland) · 2026Review
- Vesicle-Mediated Delivery of Carbon Dots: Synthesis, Properties, and Biomedical Applications.International journal of nanomedicine · 2026Review
- Covalent carbon nanodot-azobenzene hybrid photoswitches: the impact ofJournal of materials chemistry. C · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
The effect of carbon dots (CDs) on a model blayer membrane was studied as a means of comprehending their ability to affect cell membranes. Initially, the interaction of N-doped carbon dots with a biophysical liposomal cell membrane model was investigated by dynamic light scattering, z-potential, temperature-modulated differential scanning calorimetry, and membrane permeability. CDs with a slightly positive charge interacted with the surface of the negative-charged liposomes and evidence indicated that the association of CDs with the membrane affects the structural and thermodynamic properties of the bilayer; most importantly, it enhances the bilayer's permeability against doxorubicin, a well-known anticancer drug. The results, like those of similar studies that surveyed the interaction of proteins with lipid membranes, suggest that carbon dots are partially embedded in the bilayer. In vitro experiments employing breast cancer cell lines and human healthy dermal cells corroborated the findings, as it was shown that the presence of CDs in the culture medium selectively enhanced cell internalization of doxorubicin and, subsequently, increased its cytotoxicity, acting as a drug sensitizer.
Indexed as
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.