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In Situ Measurements of Dynamic Bacteria Transport and Attachment in Heterogeneous Sand-Packed Columns
Vy Le1, Sophia Thompson1, Eric Roden1
1Department of Geoscience, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Environmental Science & Technology
|October 2, 2023
Summary
Researchers developed a novel method using radiolabeling and 3D PET imaging to quantify bacterial attachment in groundwater. This technique accurately captured bacterial transport, revealing attachment hotspots at sand layer interfaces.
Area of Science:
- Environmental Science
- Geology
- Microbiology
Background:
- Understanding bacterial contaminant transport in groundwater is crucial for effective prevention and regulation.
- Discrepancies between field and lab studies highlight gaps in knowledge of bacterial transport in heterogeneous geological systems.
Purpose of the Study:
- To develop and demonstrate a new experimental approach for *in situ* quantification of dynamic bacterial transport and attachment in geologic media.
- To directly measure bacterial attachment coefficient distributions in groundwater.
Main Methods:
- Radiolabeling *Escherichia coli* with positron-emitting radioisotopes.
- Utilizing three-dimensional (3D) positron emission tomography (PET) imaging to quantify bacterial transport and distribution.
- Comparing experimental results with a 3D numerical model using a first-order irreversible attachment model.
Main Results:
- The highest bacterial attachment was observed at the interfaces between sand layers oriented orthogonal to the flow direction.
- A 3D numerical model accurately predicted bacterial attachment based on the experimental PET data.
- Demonstrated the ability to directly measure attachment coefficient distributions.
Conclusions:
- The new radiolabeling and 3D PET imaging approach provides a transformational method for studying bacterial transport in groundwater.
- This technique improves the understanding of bacterial fate and transport mechanisms in complex geological environments.
- Accurate prediction of bacterial transport can be achieved by incorporating local geologic conditions and improved model parametrization.
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