ArticleEnvironmental pollution (Barking, Essex : 1987)2021
Characterizing azobenzene disperse dyes in commercial mixtures and children's polyester clothing.
Article in Environmental pollution (Barking, Essex : 1987), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 39 citations in OpenAlex.
- Occurrence and Washout of Health-Hazardous Chemicals in Children's Clothing.Contact dermatitis · 2026Article
- Toxicological impacts of microplastic fibers: A review assessing risk to human and aquatic health.Environmental research · 2026Review
- Immune and epithelial responses to textile dyes: the role of chemical structure in toxicity.Frontiers in allergy · 2025Article
- Impaired cell viability and mitochondrial respiration by disperse textile dyes.Frontiers in allergy · 2025Article
- Toxicity of microplastic fibers containing azobenzene disperse dyes to human lung epithelial cells cultured at an air-liquid interface.Journal of hazardous materials · 2024Article
- Investigating sensitization activity of azobenzene disperse dyes via the Direct Peptide Reactivity Assay (DPRA).Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2023Article
- Characterizing azobenzene disperse dyes and related compounds in house dust and their correlations with other organic contaminant classes.Environmental pollution (Barking, Essex : 1987) · 2023Article
- Article
- Non-targeted analysis (NTA) and suspect screening analysis (SSA): a review of examining the chemical exposome.Journal of exposure science & environmental epidemiology · 2023Review
- Article
- Exclusion of Disperse Orange 3 is possible from the textile dye mix present in the Swedish baseline patch test series. A study by the Swedish Contact Dermatitis Research Group.Contact dermatitis · 2023Article
- Disperse azo dyes, arylamines and halogenated dinitrobenzene compounds in synthetic garments on the Swedish market.Contact dermatitis · 2022Article
- Urinary and fecal excretion of aromatic amines in pet dogs and cats from the United States.Environment international · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Azobenzene disperse dyes are the fastest-growing class of dyestuffs, yet little is known about dye occurrences, sources, and transformations; azo dyes are also underrepresented in chemical standard catalogs, molecular databases, and mass spectral libraries. Many azo dyes are known to have sensitization, mutagenic, and carcinogenic properties. To fill these knowledge gaps, azo dyes were purified from dyestuffs by Soxhlet extraction and flash chromatography and characterized using ultra-high-performance liquid chromatography (UHPLC) coupled to a high resolution Orbitrap Fusion Lumos mass spectrometer operated in positive electrospray ionization mode, as well as by
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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.