ArticleChemosphere2016
High-throughput exposure modeling to support prioritization of chemicals in personal care products.
Article in Chemosphere, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Exploring automated tracking of chemicals through their conditions of use to support life cycle chemical assessment.Journal of industrial ecology · 2025Article
- REACH assessment of humans exposed to chemicals indirectly via the environment: screening modeling in EUSES versus state of the science.Integrated environmental assessment and management · 2025Review
- Cutting-edge computational chemical exposure research at the U.S. Environmental Protection Agency.Environment international · 2023Review
- Exposure forecasting - ExpoCast - for data-poor chemicals in commerce and the environment.Journal of exposure science & environmental epidemiology · 2022Review
- National scale down-the-drain environmental risk assessment of oxybenzone in the United States.Integrated environmental assessment and management · 2021Review
- Exposure and Toxicity Characterization of Chemical Emissions and Chemicals in Products: Global Recommendations and Implementation in USEtox.The international journal of life cycle assessment · 2021Article
- High Throughput Risk and Impact Screening of Chemicals in Consumer Products.Risk analysis : an official publication of the Society for Risk Analysis · 2021Article
- Building a European exposure science strategy.Journal of exposure science & environmental epidemiology · 2020Review
- Qualitative approach to comparative exposure in alternatives assessment.Integrated environmental assessment and management · 2019Article
- New Approach Methodologies for Exposure Science.Current opinion in toxicology · 2019Article
- Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways.Environmental science & technology · 2019Article
- Integrating tools for non-targeted analysis research and chemical safety evaluations at the US EPA.Journal of exposure science & environmental epidemiology · 2018Review
- Metabolites of n-Butylparaben and iso-Butylparaben Exhibit Estrogenic Properties in MCF-7 and T47D Human Breast Cancer Cell Lines.Toxicological sciences : an official journal of the Society of Toxicology · 2018Article
- Conceptual Framework To Extend Life Cycle Assessment Using Near-Field Human Exposure Modeling and High-Throughput Tools for Chemicals.Environmental science & technology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
We demonstrate the application of a high-throughput modeling framework to estimate exposure to chemicals used in personal care products (PCPs). As a basis for estimating exposure, we use the product intake fraction (PiF), defined as the mass of chemical taken by an individual or population per mass of a given chemical used in a product. We calculated use- and disposal- stage PiFs for 518 chemicals for five PCP archetypes. Across all product archetypes the use- and disposal- stage PiFs ranged from 10(-5) to 1 and 0 to 10(-3), respectively. There is a distinction between the use-stage PiF for leave-on and wash-off products which had median PiFs of 0.5 and 0.02 across the 518 chemicals, respectively. The PiF is a function of product characteristics and physico-chemical properties and is maximized when skin permeability is high and volatility is low such that there is no competition between skin and air losses from the applied product. PCP chemical contents (i.e. concentrations) were available for 325 chemicals and were combined with PCP usage characteristics and PiF yielding intakes summed across a demonstrative set of products ranging from 10(-8)-30 mg/kg/d, with a median of 0.1 mg/kg/d. The highest intakes were associated with body lotion. Bioactive doses derived from high-throughput in vitro toxicity data were combined with the estimated PiFs to demonstrate an approach to estimate bioactive equivalent chemical content and to screen chemicals for risk.
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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.