ReviewPolymers2018
Tuning Carbon Dots' Optoelectronic Properties with Polymers.
Review in Polymers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Silicon quantum dots for neurotheranostic applications in dopamine detection.Journal of nanobiotechnology · 2026Review
- Synthesis, optical, and photocatalytic properties of cellulose-derived carbon quantum dots.Scientific reports · 2025Article
- One-Pot Synthesis of Dual Color-Emitting CDs: Numerical and Experimental Optimization towards White LEDs.Nanomaterials (Basel, Switzerland) · 2023Article
- Review on Fluorescent Carbon/Graphene Quantum Dots: Promising Material for Energy Storage and Next-Generation Light-Emitting Diodes.Materials (Basel, Switzerland) · 2022Review
- Carbon dots for cancer nanomedicine: a bright future.Nanoscale advances · 2021Review
- Excellent color rendering index single system white light emitting carbon dots for next generation lighting devices.Scientific reports · 2021Article
- Carbon Dots-Mediated Fluorescent Scaffolds: Recent Trends in Image-Guided Tissue Engineering Applications.International journal of molecular sciences · 2021Review
- Carbon Nanostructures Derived through Hypergolic Reaction of Conductive Polymers with Fuming Nitric Acid at Ambient Conditions.Molecules (Basel, Switzerland) · 2021Article
- You Don't Learn That in School: An Updated Practical Guide to Carbon Quantum Dots.Nanomaterials (Basel, Switzerland) · 2021Review
- Afterglow Carbon Dots: From Fundamentals to Applications.Research (Washington, D.C.) · 2021Review
- A Perspective on Application of Carbon Quantum Dots in Luminescence Immunoassays.Frontiers in chemistry · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Due to their unique properties of photoluminescence, biocompatibility, photostability, ease of preparing, and low cost, carbon dots have been studied extensively over the last decade. Soon after their discovery, it was realized that their main optical attributes may be protected, enhanced, and tuned upon proper surface passivation or functionalization. Therefore, up to date, numerous polymers have been used for these purposes, resulting to higher-quality carbon dots regarding their quantum yield or further emission-related aspects and compared to the primitive, bare ones. Hence, this review aims to clarify the polymers' role and effect on carbon dots and their features focusing on the quality characteristics of their photoluminescence upon passivation or functionalization. Given in fact the numbers of relevant publications, emphasis is given on recent articles capturing the latest advances for polymers in carbon dots for expanding emission lifetimes, advancing quantum yields, tuning emission wavelengths, enhancing specific spectral range absorption, and tailoring optoelectronic properties in general.
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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.