Predicting Dermal Exposure to Semivolatile Organic Compounds Resulting from Direct Contact with Consumer Products

Dermal exposure through direct contact with consumer products is an important yet often overlooked pathway for human exposure to semivolatile organic compounds (SVOCs). In this study, a single-layer transient model was developed to improve our understanding of dermal exposure to SVOCs under direct contact scenarios. Using human skin equivalents combined with a Franz-type diffusion cell, an innovative experimental system was implemented to determine key model parameters, specifically skin diffusion and partitioning parameters (<i>D</i><sub>epi</sub> and <i>K</i><sub>epi/source</sub>), for 16 SVOCs across seven types of consumer products. The results demonstrate that using traditional permeability coefficients without considering the contact source can lead to inaccuracies in dermal exposure assessments. The model and measured parameters were validated against data from human subject studies, showing good agreement. Additionally, correlations between the key model parameters and the physicochemical properties of SVOCs were identified. Dermal exposure doses and associated health risks under various direct contact scenarios were assessed, with many cases showing hazard quotients near or above 1 and cancer risks exceeding 10<sup>-4</sup>, highlighting its importance as a significant exposure pathway for SVOCs. This study provides valuable experimental and modeling tools for prioritizing SVOCs and guiding regulatory decisions on limiting their use in consumer products, thereby reducing potential health risks from dermal exposure.

Authors

Institutions

Publication Details

Journal
Environmental Science & Technology
Published
2025-10-13
DOI
https://doi.org/10.1021/acs.est.5c06786
Primary Topic
Contact Dermatitis and Allergies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting Dermal Exposure to Semivolatile Organic Compounds Resulting from Direct Contact with Consumer Products

Zidong Song, Luying Nian, Ying Xu, Yili Wu et al.
Environmental Science & Technology
Contact Dermatitis and Allergies
article

Predicting Dermal Exposure to Semivolatile Organic Compounds Resulting from Direct Contact with Consumer Products

Zidong Song, Luying Nian, Ying Xu, Yili Wu, Weijian Zhang, Yujie Fan, Xiaopeng Ren
article en

Abstract

Dermal exposure through direct contact with consumer products is an important yet often overlooked pathway for human exposure to semivolatile organic compounds (SVOCs). In this study, a single-layer transient model was developed to improve our understanding of dermal exposure to SVOCs under direct contact scenarios. Using human skin equivalents combined with a Franz-type diffusion cell, an innovative experimental system was implemented to determine key model parameters, specifically skin diffusion and partitioning parameters (<i>D</i><sub>epi</sub> and <i>K</i><sub>epi/source</sub>), for 16 SVOCs across seven types of consumer products. The results demonstrate that using traditional permeability coefficients without considering the contact source can lead to inaccuracies in dermal exposure assessments. The model and measured parameters were validated against data from human subject studies, showing good agreement. Additionally, correlations between the key model parameters and the physicochemical properties of SVOCs were identified. Dermal exposure doses and associated health risks under various direct contact scenarios were assessed, with many cases showing hazard quotients near or above 1 and cancer risks exceeding 10<sup>-4</sup>, highlighting its importance as a significant exposure pathway for SVOCs. This study provides valuable experimental and modeling tools for prioritizing SVOCs and guiding regulatory decisions on limiting their use in consumer products, thereby reducing potential health risks from dermal exposure.

Environmental Science & TechnologyVol. 59(42)
State Key Laboratory of Building Safety and Built Environment (CN), Tsinghua University (CN)
Openalex Percentile: Top 51%
Contact Dermatitis and Allergies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.