ArticleGreen chemistry : an international journal and green chemistry resource : GC2013
Integrating zebrafish toxicology and nanoscience for safer product development.
Article in Green chemistry : an international journal and green chemistry resource : GC, 2013. 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.
- Review
- Zebrafish models for functional and toxicological screening of nanoscale drug delivery systems: promoting preclinical applications.Bioscience reports · 2017Review
- ZEBRAFISH AS AN IN VIVO MODEL FOR SUSTAINABLE CHEMICAL DESIGN.Green chemistry : an international journal and green chemistry resource : GC · 2016Article
- Zebrafish embryo toxicity of anaerobic biotransformation products from the insensitive munitions compound 2,4-dinitroanisole.Environmental toxicology and chemistry · 2016Article
- Sustainable, Rapid Synthesis of Bright-Luminescent CuInS2-ZnS Alloyed Nanocrystals: Multistage Nano-xenotoxicity Assessment and Intravital Fluorescence Bioimaging in Zebrafish-Embryos.Scientific reports · 2016Article
- Arsenic (III, V), indium (III), and gallium (III) toxicity to zebrafish embryos using a high-throughput multi-endpoint in vivo developmental and behavioral assay.Chemosphere · 2016Article
- Advancing toxicology research using in vivo high throughput toxicology with small fish models.ALTEX · 2016Article
- The biomechanisms of metal and metal-oxide nanoparticles' interactions with cells.International journal of environmental research and public health · 2015Review
- Toxicity of chlorine to zebrafish embryos.Diseases of aquatic organisms · 2014Article
- The role of chorion on toxicity of silver nanoparticles in the embryonic zebrafish assay.Environmental health and toxicology · 2014Article
- Article
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
Abstract
The design, manufacture and application of safer products and manufacturing processes have been important goals over the last decade and will advance in the future under the umbrella of "Green Chemistry". In this review, we focus on the burgeoning diversity of new engineered nanomaterials (ENMs) and the prescient need for a nanotoxicology paradigm that quickly identifies potentially hazardous nanochemistries. Advances in predictive toxicological modeling in the developing zebrafish offer the most immediate translation to human hazard that is practically achievable with high throughput approaches. Translation in a vertebrate model that is also a low cost alternative to rodents for hazard prediction has been a desirable but elusive testing paradigm. The utility of zebrafish, if applied early in the ENM discovery pipeline, could greatly enhance efforts toward greener and more efficient nanoscience. Early pipeline detection of human and environmental health impacts will quickly inform decisions in the design and production of safer commercial ENMs.
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.