DLVO Modeling of Spores Dataset

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).

Data and Resources

Field Value
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
describedBy https://pasteur.epa.gov/uploads/10.23719/1503528/documents/SciHub_datadictionary.xlsx
describedByType application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
identifier https://doi.org/10.23719/1503528
license https://pasteur.epa.gov/license/sciencehub-license.html
modified 2019-03-20
programCode {020:060}
publisher U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
references {https://doi.org/10.1016/j.jconhyd.2020.103707}
resource-type Dataset
source_datajson_identifier true
source_hash a91f9cfe9e1f9db42951466b4967cfcc4f4795b9
source_schema_version 1.1
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • anthrax
  • biological
  • ckan
  • dlvo
  • geo
  • geoss
  • national
  • north-america
  • stormwater
  • united-states
  • water-security
  • zeta-potential
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Anne Mikelonis
maintainer_email mikelonis.anne@epa.gov
metadata_created 2025-11-21T23:24:13.844073
metadata_modified 2025-11-21T23:24:13.844077
notes 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).
num_resources 19
num_tags 14
title DLVO Modeling of Spores Dataset