A New Approach to Characterizing the Partitioning of Volatile Organic Compounds to Cotton Fabric.
Environ Sci Technol
; 56(6): 3365-3374, 2022 03 15.
Article
em En
| MEDLINE
| ID: mdl-35230819
Chemical partitioning to surfaces can influence human exposure by various pathways, resulting in adverse health consequences. Clothing can act as a source, a barrier, or a transient reservoir for chemicals that can affect dermal and inhalation exposure rates. A few clothing-mediated exposure studies have characterized the accumulation of a select number of semi-volatile organic compounds (SVOCs), but systematic studies on the partitioning behavior for classes of volatile organic compounds (VOCs) and SVOCs are lacking. Here, the cloth-air equilibrium partition ratios (KCA) for carbonyl, carboxylic acid, and aromatic VOC homologous series were characterized for cellulose-based cotton fabric, using timed exposures in a real indoor setting followed by online thermal desorption and nontargeted mass spectrometric analysis. The analyzed VOCs exhibit rapid equilibration within a day. Homologous series generally show linear correlations of the logarithm of KCA with carbon number and the logarithms of the VOC vapor pressure and octanol-air equilibrium partition ratio (KOA). When expressed as a volume-normalized partition ratio, log KCA_V values are in a range of 5-8, similar to the values for previously measured SVOCs which have lower volatility. When expressed as surface area-normalized adsorption constants, KCA_S values suggest that equilibration corresponds to a saturated surface coverage of adsorbed species. Aqueous solvation may occur for the most water-soluble species such as formic and acetic acids. Overall, this new experimental approach facilitates VOC partitioning studies relevant to environmental exposure.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Poluição do Ar em Ambientes Fechados
/
Poluentes Atmosféricos
/
Compostos Orgânicos Voláteis
Limite:
Humans
Idioma:
En
Revista:
Environ Sci Technol
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Canadá