ArticleToxicology reports2016
Characterization and prediction of chemical functions and weight fractions in consumer products.
Article in Toxicology reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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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.
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Who cites it
30 citing papers in PubMed.
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- Generic formulations: availability and applicability for exposure assessment.Journal of exposure science & environmental epidemiology · 2026Review
- iALP: Identification of Allergenic Proteins Based on Large Language Model and Gate Linear Unit.Interdisciplinary sciences, computational life sciences · 2025Article
- Respiratory and Other Hazard Characteristics of Substances in Cleaning Products Used in Healthcare Centres in England and Wales.Safety and health at work · 2024Article
- Chemical and non-chemical stressors in a postpartum cohort through wristband and self report data: Links between increased chemical burden, economic, and racial stress.Environment international · 2024Article
- (Non)targeted Chemical Analysis and Risk Assessment of Organic Contaminants in Darkibor Kale Grown at Rural and Urban Farms.Environmental science & technology · 2024Article
- Quantitative Structure Use Relationships: Highlights from a technical summit meeting.Regulatory toxicology and pharmacology : RTP · 2023Article
- Implementing a suspect screening method to assess occupational chemical exposures among US-based hairdressers serving an ethnically diverse clientele: a pilot study.Journal of exposure science & environmental epidemiology · 2023Article
- A Data-Driven Approach to Estimating Occupational Inhalation Exposure Using Workplace Compliance Data.Environmental science & technology · 2023Article
- Predicting Chemical End-of-Life Scenarios Using Structure-Based Classification Models.ACS sustainable chemistry & engineering · 2023Article
- Exposure forecasting - ExpoCast - for data-poor chemicals in commerce and the environment.Journal of exposure science & environmental epidemiology · 2022Review
- Advances in computational methods along the exposure to toxicological response paradigm.Toxicology and applied pharmacology · 2022Article
- A harmonized chemical monitoring database for support of exposure assessments.Scientific data · 2022Article
- Development and Evaluation of a Holistic and Mechanistic Modeling Framework for Chemical Emissions, Fate, Exposure, and Risk.Environmental health perspectives · 2021Article
- Allergic Diseases: A Comprehensive Review on Risk Factors, Immunological Mechanisms, Link with COVID-19, Potential Treatments, and Role of Allergen Bioinformatics.International journal of environmental research and public health · 2021Review
- Data Mining Approaches for Assessing Chemical Coexposures Using Consumer Product Purchase Data.Risk analysis : an official publication of the Society for Risk Analysis · 2021Article
- Chemical Characterization of Recycled Consumer Products Using Suspect Screening Analysis.Environmental science & technology · 2021Article
- Enhancing life cycle chemical exposure assessment through ontology modeling.The Science of the total environment · 2020Article
- New Approach Methodologies for Exposure Science.Current opinion in toxicology · 2019Article
- The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency.Toxicological sciences : an official journal of the Society of Toxicology · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Assessing exposures from the thousands of chemicals in commerce requires quantitative information on the chemical constituents of consumer products. Unfortunately, gaps in available composition data prevent assessment of exposure to chemicals in many products. Here we propose filling these gaps via consideration of chemical functional role. We obtained function information for thousands of chemicals from public sources and used a clustering algorithm to assign chemicals into 35 harmonized function categories (e.g., plasticizers, antimicrobials, solvents). We combined these functions with weight fraction data for 4115 personal care products (PCPs) to characterize the composition of 66 different product categories (e.g., shampoos). We analyzed the combined weight fraction/function dataset using machine learning techniques to develop quantitative structure property relationship (QSPR) classifier models for 22 functions and for weight fraction, based on chemical-specific descriptors (including chemical properties). We applied these classifier models to a library of 10196 data-poor chemicals. Our predictions of chemical function and composition will inform exposure-based screening of chemicals in PCPs for combination with hazard data in risk-based evaluation frameworks. As new information becomes available, this approach can be applied to other classes of products and the chemicals they contain in order to provide essential consumer product data for use in exposure-based chemical prioritization.
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Registered trials
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