ArticleMaterials today (Kidlington, England)2019
Ultrabright fluorescent cellulose acetate nanoparticles for imaging tumors through systemic and topical applications.
Article in Materials today (Kidlington, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- CXCR4-engineered fibroblast membrane nanovesicles for Photothermal-enhanced ferroptotic therapy through chemokine-navigated tumor homing.Journal of nanobiotechnology · 2025Article
- Controlling the Porous Structure of Cellulose Acetate Derived by Fatty Acid Molecules in Breath-Figure Templating.ACS omega · 2025Article
- Long-Term Cell-Membrane-Coated Ultrabright Nanospheres for Targeted Cancer Cell Imaging and Hydrophobic Drug Delivery.Chemistry of materials : a publication of the American Chemical Society · 2025Article
- Recent progress of carbon dots in targeted bioimaging and cancer therapy.Theranostics · 2022Review
- Zebrafish Models for the Safety and Therapeutic Testing of Nanoparticles with a Focus on Macrophages.Nanomaterials (Basel, Switzerland) · 2021Review
- Cross-Linked and Surface-Modified Cellulose Acetate as a Cover Layer for Paper-Based Electrochromic Devices.ACS applied polymer materials · 2021Article
- Critical quality attributes in the development of therapeutic nanomedicines toward clinical translation.Drug delivery and translational research · 2020Review
- In Vivo Targeting of Xenografted Human Cancer Cells with Functionalized Fluorescent Silica Nanoparticles in Zebrafish.Journal of visualized experiments : JoVE · 2020Article
- Ultrabright fluorescent silica nanoparticles for in vivo targeting of xenografted human tumors and cancer cells in zebrafish.Nanoscale · 2019Article
- Data on ultrabright fluorescent cellulose acetate nanoparticles for imaging tumors through systemic and topical applications.Data in brief · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Cellulose acetate (CA), viscose, or artificial silk are biocompatible human-benign derivatives of cellulose, one of the most abundant biopolymers on earth. While various optical materials have been developed from CA, optical CA nanomaterials are nonexistent. Here we report on the assembly of a new family of extremely bright fluorescent CA nanoparticles (CA-dots), which are fully suitable for in vivo imaging / targeting applications. CA-dots can encapsulate a variety of molecular fluorophores. Using various commercially available fluorophores, we demonstrate that the fluorescence of CA-dots can be tuned within the entire UV-VIS-NIR spectrum. We also demonstrate excellent specific targeting of tumors in vivo, when injected in blood in zebrafish (xenograft model of human cervical epithelial cancer), and unusually strong ex-vivo topical labeling of colon cancer in mice utilizing CA folate-functionalized nanoparticles.
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.