DLVO Modeling of Spores Dataset

Description

Development of numerical models to predict stormwater-mediated transport of pathogenic spores in the environment depends on an understanding of adhesion forces that dictate detachment after rain events. Zeta potential values were measured for Bacillus globgii and Bacillus thuringiensis kurstaki, two common surrogates used to represent Bacillus anthracis, in synthetic baseline ultrapure water and laboratory stormwater. Zeta potential curves were also determined for materials representative of urban infrastructure (concrete and asphalt). These data were used to predict the interaction energy between the spores and urban materials using Derjaguin-Landau-Verwey-Overbeek (DLVO) modeling. B. globgii and B. thuringiensis kurstaki sourced from Yakibou Inc., were found to have similar zeta potential curves, whereas spores sourced from the U.S. military’s Dugway laboratory were found to diverge. In the ultrapure water, the energy barriers between the spores and the urban materials were tunable through compression of the double layer of the
spores via changes of ionic strength and pH of the water. In the runoff water, charge neutralization dominated surface processes. The cations, metals, and natural organic matter (NOM) in the runoff water contributed to equalizing the zeta potential values for Dugway B. globgii and B. thuringiensis kurstaki, and drastically modified the surface of the concrete and asphalt. All DLVO energy curves using the runoff water were repulsive. The highest energy barrier predicted in this study was for Dugway B. globgii spores interacting with a concrete surface in runoff water, suggesting that this would be the most challenging combination to detach through water-based decontamination.

This dataset is associated with the following publication:
Mikelonis, A., K. Ratliff, and S. Youn. Laboratory results and mathematical modeling of spore surface interactions in storm water runoff. JOURNAL OF CONTAMINANT HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 235: 103707, (2020).

Resources

Name Format Description Link
ABtKTOC10.csv XLS ABtKTOC10.csv Open resource
ABtKTOC1.csv XLS ABtKTOC1.csv Open resource
Asphalt_pH7_I10.csv XLS Asphalt_pH7_I10.csv Open resource
baseline_water.csv XLS baseline_water.csv Open resource
CBgTOC10.csv XLS CBgTOC10.csv Open resource
CBgTOC1.csv XLS CBgTOC1.csv Open resource
CBtKTOC10.csv XLS CBtKTOC10.csv Open resource
CBtKTOC1.csv XLS CBtKTOC1.csv Open resource
Concrete_pH10_100mM.csv XLS Concrete_pH10_100mM.csv Open resource
Concrete_pH10_10mM.csv XLS Concrete_pH10_10mM.csv Open resource
Concrete_pH5_100mM.csv XLS Concrete_pH5_100mM.csv Open resource
Concrete_pH5_10mM.csv XLS Concrete_pH5_10mM.csv Open resource
Concrete_pH7_100mM.csv XLS Concrete_pH7_100mM.csv Open resource
Concrete_pH7_10mM.csv XLS Concrete_pH7_10mM.csv Open resource
Concrete_pH7_I10.csv XLS Concrete_pH7_I10.csv Open resource
I_100mM.csv XLS I_100mM.csv Open resource
I_10mM.csv XLS I_10mM.csv Open resource
runoff_water.csv XLS runoff_water.csv Open resource
Synthetic_Runoff.csv XLS Synthetic_Runoff.csv Open resource

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