A geospatial analysis of soil lead concentrations around regional Oklahoma airports.

Lead has been banned from automobile gasoline since 1995; however, lead is still used as an additive to aviation gasoline (avgas). Airports are now one of the greatest sources of lead air emission in the US. The objectives of this study were (1) to evaluate soil lead levels radially from three regional airports; (2) collect historical meteorological data; (3) examine the soil organic matter content and (4) develop correlation coefficients to evaluate correlations among variables. Soil samples were collected from 3 different airports in Oklahoma and the soil lead concentration was measured using x-ray fluorescence (XRF). The measured soil lead concentrations were plotted with the corresponding GPS location in ArcGIS and Inverse Distance Weight spatial analysis was used to create modeled isopleths of soil lead concentrations. One of the three airports was found to have soil lead concentrations that correlate with soil organic matter with one other showing correlation between soil lead concentration and distance from the airport. The spatial modeled isopleths showed elevated soil lead concentrations in the direction of prevailing winds with "hot spots" near the avgas fueling stations.

Discriminant analysis of fecal bacterial species composition for use as a phenotypic microbial source tracking method.

A rapidly growing method to identify origins of nonpoint source (NPS) pollution is microbial source tracking (MST). Current MST research utilizes either an organism's genetic or physiological traits to establish source identification. To determine if an MST method based on fecal bacterial species composition can be used to determine sources of NPS pollution, samples from known NPS contributors (human, cattle, poultry, and swine) were collected and analyzed for fecal coliform (FC) and fecal streptococci (FS). Five colonies from each bacterial type were randomly selected, isolated and identified using phenotypic profiles. The species composition was calculated from these data and analyzed statistically via discriminant analysis. The rates of correct classification (RCC) for FC species composition patterns were 64, 71, 47 and 70% for cattle, human, poultry and swine, respectively. The RCC for FS species composition patterns were 87, 86, 74, and 83% for cattle, human, poultry, and swine, respectively. The average rate of correct classification for samples from all known sources was significantly higher (P=0.05) for FS species composition data (82%) than for FC (63%). The average rate of correct classification was increased when the FC and FS species composition data was combined (93%). The results from this study indicate that a phenotypic MST methodology based on species composition of dominant fecal bacteria may be useful in determining major contributors to NPS pollution. Based on the average rates of correct classification, the use of FS species composition patterns appears to be more useful in identifying source than the use of FC patterns.

Impact of surface thermodynamics on bacterial transport.

Microbial surface thermodynamics correlated with bacterial transport in saturated porous media. The surface thermodynamics was characterized by contact-angle measurement and the wicking method, which was related to surface free energies of Lifshitz-van der Waals interaction, Lewis acid-base interaction, and electrostatic interaction between the bacteria and the medium matrix. Transport of three different strains of bacteria present at three physiological states was measured in columns of silica gel and sand from the Canadian River Alluvium (Norman, OK, USA). Microorganisms in stationary state had the highest deposit on solid matrix, compared with logarithmic and decay states. The deposition correlated with the total surface free energy (DeltaG132TOT) and the differences in DeltaG132TOT were mainly controlled by the Lewis acid-base interaction. Infrared spectroscopy showed that the increased deposition correlated with an increase in the hydrogen-bonding functional groups on the cell surfaces.

Nutrient conversions by photosynthetic bacteria in a concentrated animal feeding operation lagoon system.

A diurnal examination was conducted to determine the effect of photosynthetic bacteria on nutrient conversions in a two-stage concentrated animal feeding operation (CAFO) lagoon system in west-central Oklahoma. Changes in nutrients, microbial populations, and physical parameters were examined at three depths (0, 1.5, and 3.0 m) every 3 h over a 36-h period. The south lagoon (SL) was anaerobic (dissolved oxygen [DO] = 0.09 +/- 0.12 mg/L) while the north lagoon (NL) was facultative (DO ranged from 4.0-0.1 mg/L over 36-h period). Negative sulfide-sulfate (-0.85) and bacteriochlorophyll a (bchl a)-sulfate (-0.83) correlations, as well as positive bchl a-sulfide (0.87) and light intensity (I)-bchl a (0.89) correlations revealed that the SL was dominated by sulfur conversions driven by the photosynthetic purple sulfur bacteria (PSB). The correlation data was supported by diurnal trends for sulfate, sulfide, and bchl a. Both nitrogen and sulfur conversions played a role in the NL; however, nitrogen conversions appeared to dominate this system because of the activity of cyanobacteria. This was shown by positive chlorophyll a (chl a)-I (0.91) and chl a-nitrate (0.98) correlations and the negative correlation between ammonium and nitrite (-0.88). Correlation data was further supported by diurnal trends observed for chl a, DO, and ammonium. For both lagoons, the dominant photosynthetic microbial species determined which nutrient conversion processes were most important.

Model coupling intraparticle diffusion/sorption, nonlinear sorption, and biodegradation processes.

Diffusion, sorption and biodegradation are key processes impacting the efficiency of natural attenuation. While each process has been studied individually, limited information exists on the kinetic coupling of these processes. In this paper, a model is presented that couples nonlinear and nonequilibrium sorption (intraparticle diffusion) with biodegradation kinetics. Initially, these processes are studied independently (i.e., intraparticle diffusion, nonlinear sorption and biodegradation), with appropriate parameters determined from these independent studies. Then, the coupled processes are studied, with an initial data set used to determine biodegradation constants that were subsequently used to successfully predict the behavior of a second data set. The validated model is then used to conduct a sensitivity analysis, which reveals conditions where biodegradation becomes desorption rate-limited. If the chemical is not pre-equilibrated with the soil prior to the onset of biodegradation, then fast sorption will reduce aqueous concentrations and thus biodegradation rates. Another sensitivity analysis demonstrates the importance of including nonlinear sorption in a coupled diffusion/sorption and biodegradation model. While predictions based on linear sorption isotherms agree well with solution concentrations, for the conditions evaluated this approach overestimates the percentage of contaminant biodegraded by as much as 50%. This research demonstrates that nonlinear sorption should be coupled with diffusion/sorption and biodegradation models in order to accurately predict bioremediation and natural attenuation processes. To our knowledge this study is unique in studying nonlinear sorption coupled with intraparticle diffusion and biodegradation kinetics with natural media.

Naphthalene, phenanthrene and surfactant biodegradation.

The impact of surfactants on naphthalene and phenanthrene biodegradation and vice versa after surfactant flushing were evaluated using two anionic surfactants: sodium dodecyl sulfate (SDS) and sodium dodecyl benzene sulfonate (SDBS); and two nonionic surfactants: POE (20) sorbitan monooleate (T-maz-80) and octylphenol poly(ethyleneoxy) ethanol (CA-620). Naphthalene and phenanthrene biodegradation varied differently in the presence of different surfactants. Naphthalene biodegradation was not impacted by the presence of SDS. In the presence of T-maz-80 and CA-620, naphthalene biodegradation occurred at a lower rate (0.14 d(-1) for T-maz-80 and 0.19 d(-1) for CA-620) as compared to un-amended control (0.29 d(-1)). Naphthalene biodegradation was inhibited by the presence of SDBS. In the presence of SDS, phenanthrene biodegradation occurred at a lower rate (0.10 d(-1) as compared to un-amended control of 0.17 d(-1)) and the presence of SDBS, CA-620 and T-maz-80 inhibited phenanthrene biodegradation. The surfactants also responded differently to the presence of naphthalene and phenanthrene. In the presence of naphthalene, SDS biodegradation was inhibited; SDBS and T-maz-80 depleted at a lower rate (0.41 d(-1) and 0.12 d(-1) as compared to 0.48 d(-1) and 0.22 d(-1)). In the absence of naphthalene, CA-620 was not degradable, while in the presence of naphthalene, CA-620 began to degrade at a comparatively low rate (0.12 d(-1)). In the presence of phenanthrene, SDS biodegradation occurred at a lower rate (1.2 d(-1) as compared to 1.68 d(-1)) and a similar trend was observed for T-maz-80. The depletion of SDBS and CA-620 did not change significantly. The choice of SDS for naphthalene-contaminated sites would not adversely affect the natural attenuation of naphthalene, in addition, naphthalene was preferentially utilized to SDS by naphthalene-acclimated microorganisms. Therefore, SDS was the best choice. T-maz-80 was also found to be usable in naphthalene-contaminated sites. For phenanthrene contaminated sites, SDS was the only choice.

VOC elimination in a compost biofilter using a previously acclimated bacterial inoculum.

A comparison of biodegradation efficiencies was done for volatile benzene, toluene, ethylbenzene, m-xylene, p-xylene, and o-xylene elimination in a compost biofilter. The column was first exposed to a synthetic mixture and then a free phase product mixture containing these compounds at increasing pollutant loads. The optimal moisture content of the system was determined, and this was used in the biodegradation experiments. An acclimated culture was used as an inoculum for the biofilter, the matrix of which consisted of composted forestry products, composted sewage sludge, lime, and perlite. Inlet and outlet concentrations were measured, and pollutant loads, elimination capacities, and removal efficiencies were determined for each of the compounds. Optimal moisture content for this system was found to be 40%, and the short lag times (one to five days) in acclimating to the compounds was ascribed to the presence of the well-acclimated inoculum. The compounds in the synthetic mixture had higher removal efficiencies (80-99%) even at the higher pollutant loads experienced, with the exception of o-xylene. Dynamic removal efficiencies and acclimation periods were seen in the free phase product mixture, with a removal efficiency range from 70 to 95%. This was attributed to the presence of chlorinated aliphatics in the free phase product.

Influence of microbial concentration on the rheology of non-Newtonian fermentation broths.

The objective of this study was to quantify the effect of fungal biomass concentration on the rheology of non-Newtonian fermentation systems. Batch fermentations of Penicillium chrysogenum were carried out with glucose as the sole carbon source. The flow behavior of the system was characterized at various fermentation times and was adequately described by the power-law model. The apparent viscosity of the fermentation broth was significantly affected by biomass concentrations in the fermenter. Fermentation broths containing 17.71 g/l biomass as dry weight were characterized by an apparent viscosity of 0.25 Pa s at a shear rate of 50 s-1. Microbial concentration also affected the power-law flow-behavior index and the consistency index. The value of the consistency index ranged from 0.002 Pa sn at a biomass concentration of 0.1 g/l to 6.14 Pa sn at a biomass concentration of 17.71 g/l. The flow-behavior index decreased from an initial value of 1 to a final value of 0.17. Simple empirical correlations have been proposed to quantify the dependence of the power-law parameters on fungal biomass concentration. Experimental data obtained in this study were accurately described by these correlations. The general applicability of these relationships was tested, using previously published rheological data on Aspergillus awamori and Aspergillus niger fermentation broths, and good agreement was seen between experimental data and the predictions from the empirical correlations.