TL;DR: In this paper, the authors used static head-space analysis to measure chemical fugacities in food and fecal samples and found that food digestion in the gastrointestinal tract was found to increase the chemical fugacity in the food 5-fold by altering the fugacity capacity of the food.
Abstract: Dietary bioaccumulation experiments with chlorobenzenes, PCBs, and mirex in guppies and goldfish are presented. The results demonstrate that, in the gastrointestinal tract of fish, the fugacity of very hydrophobic, nonmetabolizable chemicals (log Kow > 6) is elevated above the fugacity in the consumed food as a result of food digestion and absorption. Observed fugacities in fecal matter were up to 4.6-fold greater than the fugacity in the administered food. Fecal to food fugacity ratio ranged between 0.07 and 4.6 in guppies and between 0.014 and 4.5 in goldfish and increased with increasing Kow. Food digestion in the gastrointestinal tract was found to increase the chemical fugacity in the food 5-fold by altering the fugacity capacity of the food. An additional 2-3-fold increase in the chemical concentration and fugacity in the gastrointestinal tract is due to food absorption from the gastrointestinal tract. The findings support the “digestion” hypothesis as being the driving force of the biomagnification and food chain accumulation of hydrophobic organic chemicals. The study further illustrates the application of static head-space analysis to measure chemical fugacities in food and fecal samples.
TL;DR: In this paper, a mass-balance compartment model based on fugacity principles is proposed to predict exposure pathways to pesticides in residential compartments, including air, carpet, smooth flooring, and walls.
Abstract: Dermal and non-dietary pathways are potentially significant exposure pathways to pesticides used in residences. Exposure pathways include dermal contact with residues on surfaces, ingestion from hand- and object-to-mouth activities, and absorption of pesticides into food. A limited amount of data has been collected on pesticide concentrations in various residential compartments following an application. But models are needed to interpret this data and make predictions about other pesticides based on chemical properties. In this paper, we propose a mass-balance compartment model based on fugacity principles. We include air (both gas phase and aerosols), carpet, smooth flooring, and walls as model compartments. Pesticide concentrations on furniture and toys, and in food, are being added to the model as data becomes available. We determine the compartmental fugacity capacity and mass transfer-rate coefficient for wallboard as an example. We also present the framework and equations needed for a dynamic mass-balance model.
TL;DR: In this paper, the authors present an index of molecular connectivity, based on the quantification of molecular structure and structure-activity relationships and toxicology, and apply it to the analysis of chemical properties.
Abstract: 1 Introduction.- 2 Fundamental Properties of Chemicals.- 2.1. Introduction.- 2.2. Molecular and molar properties.- 2.2.1. Molecular structure.- 2.2.2. Additive and constitutive properties.- 2.2.3. The quantification of molecular structure.- 2.2.4. The development of an index of molecular connectivity.- 2.2.5. Applications of the molecular connectivity index.- 2.2.6. Structure-activity relationships and toxicology.- 2.3. Partition coefficients.- 2.3.1. Additive-constitutive properties.- 2.3.2. Fragment constants.- 2.3.3. Molecular connectivity.- 2.3.4. Experimental determination of partition coefficient.- 2.3.5. Activity coefficients.- 2.4. Partition coefficient and bioconcentration.- 3 Chemical Release and Environmental Pathways.- 3.1. Natural phenomena.- 3.2. Human activities.- 3.3. Manufacturing processes.- 3.4. Physical form and source description.- 3.5. Estimating releases.- 3.6. Environmental pathways.- 4 Modelling Strategies.- 4.1. Modelling philosophy.- 4.2. Model categories.- 4.3. Material balance and dimensional analysis.- 4.4. Partitioning models.- 4.5. Fugacity.- 4.5.1. Fugacity capacities (Z).- 4.5.2. Fugacity models.- 4.5.3. Calculation of fugacity capacity.- 4.6. System design.- 4.7. Model evaluation.- 5 The Soil Environment.- 5.1. Introduction.- 5.2. Physical processes.- 5.2.1. Adsorption.- 5.2.2. Diffusion.- 5.2.3. Volatilization.- 5.3. Chemical processes.- 5.3.1. Ionization.- 5.3.2. Hydrolysis.- 5.3.3. Oxidation/reduction.- 5.3.4. Complexation.- 5.4. Mathematical models of soil systems.- 5.4.1. Unsaturated soil zone (soil) modeling.- 5.4.2. Saturated soil zone (groundwater) modeling.- 5.4.3. Ranking models.- 5.4.4. Aquatic equilibrium models.- 6 The Aquatic Environment.- 6.1. Introduction.- 6.2. The hydrosphere.- 6.3. Physical processes.- 6.3.1. Hydrodynamic transport.- 6.3.2. Solubility in water.- 6.3.3. Volatilization from water.- 6.4. Chemical processes.- 6.4.1. Aqueous photolysis.- 6.4.2. Metals in water.- 6.5. Biodegradation..- 6.6. Mathematical models.- 6.6.1. Environmental rates approach.- 6.6.2. Model ecosystem approach.- 6.6.3. Aquatic fate models.- 7 The Atmospheric Environment.- 7.1. Introduction.- 7.2. Acidification pathways.- 7.2.1. Sulphur dioxide.- 7.2.2. Oxides of nitrogen.- 7.2.3. Chlorofluorocarbons and ozone depletion.- 7.3. Atmospheric sink mechanisms.- 7.3.1. Removal processes.- 7.4. Atmospheric residence time.- 7.5. Atmospheric dispersion modeling.- 7.5.1. Simple models.- 7.5.2. More complex models.- 8 Conclusions.- References and Bibliography.
TL;DR: Equilibrium sampling of organic pollutants into the silicone polydimethylsiloxane (PDMS) in intact tissue of two eels and one salmon confirmed that the fugacity capacity of these lipid-rich tissues for PCBs was dominated by the lipid fraction, and implications for equilibrium sampling and partition coefficients determined using tissue homogenates.
TL;DR: Results suggest that EVA thin film is a good membrane surrogate for passive uptake of BaP, and suggest that matrix-bound HOCs may become bioavailable after mobilization by the gastrointestinal fluids followed by sorption to the intestinal epithelium.
Abstract: A major route of exposure to hydrophobic organic contaminants (HOCs), such as benzo[a]pyrene (BaP), is ingestion. Matrix-bound HOCs may become bioavailable after mobilization by the gastrointestinal fluids followed by sorption to the intestinal epithelium. The purpose of this research was to measure the bioavailability of [14C]-BaP bound to pristine soils or field-contaminated sediment using an in vitro model of gastrointestinal digestion followed by sorption to human enterocytes (Caco-2 cells) or to a surrogate membrane, ethylene vinyl acetate (EVA) thin film. Although Caco-2 cells had a twofold higher lipid-normalized fugacity capacity than EVA, [14C]-BaP uptake by Caco-2 lipids and EVA thin film demonstrated a linear relationship within the range of BaP concentrations tested. These results suggest that EVA thin film is a good membrane surrogate for passive uptake of BaP. The in vitro system provided enough sensitivity to detect matrix effects on bioavailability; after 5 h, significantly lower concentrations of [14C]-BaP were sorbed into Caco-2 cells from soil containing a higher percentage of organic matter compared to soil with a lower percentage of organic matter. The [14C]-BaP desorption rate from Caco-2 lipids consistently was twofold higher than from EVA thin film for all matrices tested. The more rapid kinetics observed with Caco-2 cells probably were due to the greater surface area available for absorption/desorption in the cells. After 5 h, the uptake of BaP into Caco-2 lipid was similar in live and metabolically inert Caco-2 cells, suggesting that the primary route of BaP uptake is by passive diffusion. Moreover, the driving force for uptake is the fugacity gradient that exists between the gastrointestinal fluid and the membrane.