Dermal absorption of semivolatile organic compounds from the gas phase: Sensitivity of exposure assessment by steady state modeling to key parameters. (May 2017)

• Record Type: Journal Article
• Authors: Pelletier, Maud; Bonvallot, Nathalie; Ramalho, Olivier; Blanchard, Olivier; Mercier, Fabien; Mandin, Corinne; Le Bot, Barbara; Glorennec, Philippe
• Is Part Of: Environment international. Volume 102(2017)
• Page Start: 106
• Page End: 113
• Publication Date: 2017-05
• Subjects: A Body surface area (m2) -- Ca SVOC total concentration in indoor air (Cg + F) (ng/m3) -- Cg SVOC concentration in the gas phase (ng/m3) -- DIdermal-gas Daily intake by dermal exposure through the gas phase (micrograms per kilogram of body weight per day, μg/kg-bw/d) -- F SVOC concentration in the particulate phase (ng/m3 of air) -- fom-part Volume fraction of organic matter associated with airborne particles -- H Henry's law constant (Pa·m3/mol) -- Koa Octanol/air partition coefficient -- Kow Octanol/water partition coefficient -- Kp Gas/particle distribution coefficient (m3/μg) -- kp-g Indoor air transdermal permeability coefficient, describing the transport of a gas phase SVOC from bulk indoor air to dermal capillaries, through the boundary layer adjacent to skin, the stratum corneum and viable epidermis composite (m/h) -- MW SVOC molecular weight (g/mol) -- Ps SVOC vapor pressure (Pa) -- R Ideal gas constant (= 8.314 Pa·m3/mol·K) -- ρpart Density of airborne particles (g/m3) -- SVOC Semivolatile organic compound -- t Daily exposure duration (h/d) -- T Temperature (K) -- [TSP] Total suspended particle concentration (μg/m3) -- W Body weight (kg) -- ɣd Coefficient describing the external transport of a gas phase SVOC from the bulk indoor air to the boundary layer adjacent to the skin (m/h); Percutaneous -- Indoor air -- Chemical -- Contact -- Sensitivity analysis -- Monte Carlo; Environmental protection -- Periodicals; Environmental health -- Periodicals; Environmental monitoring -- Periodicals; Environmental Monitoring -- Periodicals; Environnement -- Protection -- Périodiques; Hygiène du milieu -- Périodiques; Environnement -- Surveillance -- Périodiques; Environmental health; Environmental monitoring; Environmental protection; Periodicals; 333.705
• DOI: 10.1016/j.envint.2017.02.005
• Languages: English
• ISSNs: 0160-4120

Abstract

Abstract: Recent research has demonstrated the importance of dermal exposure for some semivolatile organic compounds (SVOCs) present in the gas phase of indoor air. Though models for estimating dermal intake from gaseous SVOCs exist, their predictions can be subject to variations in input parameters, which can lead to large variation in exposure estimations. In this sensitivity analysis for a steady state model, we aimed to assess these variations and their determinants using probabilistic Monte Carlo sampling for 8 SVOCs from different chemical families: phthalates, bisphenols, polycyclic aromatic hydrocarbons (PAHs), organophosphorus (OPs), organochlorines (OCs), synthetic musks, polychlorinated biphenyls (PCBs) and polybromodiphenylethers (PBDEs). Indoor SVOC concentrations were found to be the most influential parameters. Both Henry's law constant (H) and octanol/water partition coefficient (Kow ) uncertainty also had significant influence. While exposure media properties such as volume fraction of organic matter in the particle phase (fom-part ), particle density (ρpart ), concentration ([TSP]) and transport coefficient (ɣd ) had a slight influence for some compounds, human parameters such as body weight (W), body surface area (A) and daily exposure (t) make a marginal or null contribution to the variance of dermal intake for a given age group. Inclusion of a parameter sensitivity analysis appears essential to reporting uncertainties in dermal exposure assessment. Highlights: Sensitivity analysis was conducted for 8 SVOCs with MC simulations. SVOC air concentration is the most influential variable parameter. Octanol-water partition coefficient and Henry's law constant are influent uncertain parameters. Influence of airborne particles characteristics and human parameters is minimal.