Cotransport of graphene oxide and Cu(II) through saturated porous media.

This study examines the cotransport of graphene oxide (GO) and Cu in porous media. The impacts of GO concentration and ion strength (IS) on Cu transport in laboratory packed columns were investigated. The results indicated that GO had fairly high mobility at a IS of 1mM, and could serve as an effective carrier of Cu(II). The facilitated transport was found to increase with increasing concentration of GO (CGO). The peak effluent concentration (C/C0)max of Cu was 0.57 at CGO of 120mg/L and IS=1mM and 0.13 at 40mg/L and IS=1mM. The Cu appears to be irreversibly adsorbed by the sand because no Cu appeared in the effluent in the absence of GO. However, the GO-facilitated Cu transport was reduced as the IS increased from 1 to 1000mM. In fact, the facilitated transport was zero percent at an IS of 1000mM. Particle size analysis, Zeta potential measurements and DLVO calculations demonstrated that higher IS values made the GO became unstable and it flocculated and attached to the sand. We also fed GO into the column pre-equilibrated by Cu as sequential elution experiments and found that the later introduced GO can complex the pre-adsorbed Cu from the sand surface because GO has a higher adsorption affinity for Cu. An advection-dispersion-retention numerical model was able to describe the Cu and GO transport in the column. Our work provides useful insights into fate, transport and risk assessment of heavy metal contaminants in the presence of engineered nanoparticles.

Catalytic wet oxidation: mathematical modeling of multicompound destruction.

A mathematical model of a three-phase catalytic reactor, CatReac, was developed for analysis and optimization of a catalytic oxidation reactor that is used in the International Space Station potable water processor. The packed-bed catalytic reactor, known as the volatile reactor assembly (VRA), is operated as a three-phase reactor and contains a proprietary catalyst, a pure-oxygen gas phase, and the contaminated water. The contaminated water being fed to the VRA primarily consists of acetic acid, acetone, ethanol, 1-propanol, 2-propanol, and propionic acid ranging in concentration from 1 to 10 mg/L. The Langmuir-Hinshelwood Hougen-Watson (L-H) (Hougen, 1943) expression was used to describe the surface reaction rate for these compounds. Single and multicompound short-column experiments were used to determine the L-H rate parameters and calibrate the model. The model was able to predict steady-state multicomponent effluent profiles for short and full-scale reactor experiments.

Does simplifying transport and exposure yield reliable results? An analysis of four risk assessment methods.

Four approaches for predicting the risk of chemicals to humans and fish under different scenarios were compared to investigate whether it is appropriate to simplify risk evaluations in situations where an individual is making environmentally conscious manufacturing decisions or interpreting toxics release inventory (TRI) data: (1) the relative risk method, that compares only a chemical's relative toxicity; (2) the toxicity persistence method, that considers a chemical's relative toxicity and persistence; (3) the partitioning, persistence toxicity method, that considers a chemical's equilibrium partitioning to air, land, water, and sediment, persistence in each medium, and its relative toxicity; and (4) the detailed chemical fate and toxicity method, that considers the chemical's relative toxicity, and realistic attenuation mechanisms such as advection, mass transfer and reaction in air, land, water, and sediment. In all four methods, the magnitude of the risk was estimated by comparing the risk of the chemical's release to that of a reference chemical. Three comparative scenarios were selected to evaluate the four approaches for making pollution prevention decisions: (1) evaluation of nine dry cleaning solvents, (2) evaluation of four reaction pathways to produce glycerine, and (3) comparison of risks for the chemical manufacturing and petroleum industry. In all three situations, it was concluded that ignoring or simplifying exposure calculations is not appropriate, except in cases where either the toxicity was very great or when comparing chemicals with similar fate. When the toxicity is low to moderate and comparable for chemicals, the chemicals' fate influences the results; therefore, we recommend using a detailed chemical fate and toxicity method because the fate of chemicals in the environment is assessed with consideration of more realistic attenuation mechanisms than the other three methods. In addition, our study shows that evaluating the risk associated with industrial release of chemicals (e.g., the toxics release inventory) may be misleading if only mass emissions are considered.

A model for predicting contaminant removal by adsorption within the International Space Station water processor: 1. Multicomponent equilibrium modeling.

A thermodynamic model is developed to predict adsorption equilibrium in the International Space Station water processor's multifiltration beds. The model predicts multicomponent adsorption equilibrium behavior using single-component isotherm parameters and fictitious components representing the background matrix. The fictitious components are determined by fitting total organic carbon and tracer isotherms with the ideal adsorbed solution theory. Multicomponent isotherms using a wastewater with high surfactant and organic compound concentrations are used to validate the equilibrium description on a coconut-shell-based granular activated carbon (GAC), coal-based GAC, and a polymeric adsorbent.