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High-Resolution Characterization of the Size Exclusion Effect on the Transport of Low-Concentration Mixed-Size
Changxi Wang1, Zhaofei Duan1, Renkuan Liao1
1College of Land Science and Technology, State Key Laboratory of Efficient Utilization of Agricultural Water Resources, China Agricultural University, Beijing 100083, P. R. China.
Environmental Science & Technology
|May 23, 2025
Summary
DNA labeling enables precise tracking of low-concentration colloids in groundwater. This method accurately quantifies the size exclusion effect (SEE), revealing how particle size impacts pollutant transport.
Area of Science:
- Environmental Science
- Geochemistry
- Colloid Science
Background:
- Colloid transport in groundwater is crucial for understanding pollutant dispersion.
- The size exclusion effect (SEE) significantly influences colloid behavior.
- Accurate measurement of low-concentration and mixed-size colloids is technically challenging.
Purpose of the Study:
- To develop and validate a DNA labeling technique for enhanced detection and size differentiation of colloids.
- To quantify the size exclusion effect (SEE) in porous media using column-scale experiments.
- To establish a quantitative relationship between colloid size and the SEE parameter (γ).
Main Methods:
- Encapsulating DNA fragments within model colloids of various sizes (0.1–5.0 μm).
- Conducting column-scale experiments with single-size and multi-size colloids.
- Analyzing colloid breakthrough curves to quantify the inaccessible water saturation (γ).
Main Results:
- DNA labeling enabled sensitive detection of colloids at concentrations ≤10 mg L⁻¹.
- Precise differentiation between various colloid sizes was achieved.
- A power-law relationship was identified between colloid diameter and the SEE parameter (γ), showing SEE intensifies with larger colloids.
Conclusions:
- DNA labeling offers a powerful tool for high-resolution characterization of colloid transport in porous media.
- The study provides quantitative insights into the size exclusion effect, crucial for environmental pollutant fate modeling.
- Findings advance the understanding of colloid behavior in groundwater systems and their environmental implications.
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