ReviewDiscover nano2025
Recent progress in biowaste-derived carbon dots for cancer theranostics toward a green solution to toxic metal quantum dots.
Review in Discover nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Advances in green-synthesized quantum dot-based nanoplatforms for cancer treatment, photodynamic therapy, photothermal therapy and cancer theranostics.RSC advances · 2026Review
- A Review on Agro-Waste-Derived Carbon Dots as Multifunctional Nanofillers in Biopolymer Films: A Sustainable Strategy for Active Packaging and Shelf Life Extension of Seafood.Foods (Basel, Switzerland) · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Carbon dots (CDs) have emerged as promising nanomaterials for cancer detection and diagnosis due to their unique optical properties, biocompatibility, and surface functionalization capabilities. Metal Quantum dots (QDs) hold great promise for biomedical applications; however, their potential toxicity due to heavy metal ion release and ROS generation raises safety concerns. Subsequently, tremendous research efforts are being conducted toward the development of biogenic CDs synthesized from sustainable bio-sources, aiming towards harnessing their intrinsic biocompatibility and multifunctionality in cancer theranostics. With the increasing demand for safer and eco-friendly nanomaterials in cancer diagnosis and treatment, there is an urgent need for the exploration of biowaste derived CDs representing significant advancement in nanomedicine. In this mini review, we provide a comprehensive overview of recent advancements in utilizing bio waste derived green CDs as cancer biomarkers detectors. We discuss various synthesis methods for CDs, including bottom-up and top-down approaches, highlighting their ability to tailor optical and surface properties for specific applications in cancer detection. Functionalization strategies for enhancing targeting specificity and binding affinity of CDs to cancer biomarkers are also explored, encompassing covalent and non-covalent modifications. Furthermore, we review the applications of CDs in detecting diverse cancer biomarkers, such as proteins, nucleic acids, and small molecules, through fluorescence-based assays. Despite their potential, several challenges such as improving assay sensitivity, specificity, and clinical translation are discussed. Finally, we outline future perspectives, suggesting the integration of CDs into advanced diagnostic platforms for early cancer detection and personalized medicine. Harnessing the unique properties of green CDs holds great promise for revolutionizing cancer diagnostics, enabling early-stage detection, monitoring disease progression, and guiding personalized treatment strategies.
Indexed as
Identifiers
What Socratic 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 Socratic graph.