A Synthetic DNA Labeling Approach for High‐Resolution Characterization of Mixed‐Size Colloid Transport in Porous Media

Abstract Both UV spectrophotometry and dynamic light scattering techniques present substantial limitations in characterizing mixed colloid size distributions, challenging their transport studies. We developed a synthetic DNA‐labeling/qPCR approach to distinguish mixed colloids (0.05, 0.5, and 5 μm) transport in porous media. Contrary to single‐size systems where larger colloids (5 μm) were more retained, mixed‐size systems showed higher retention of smaller colloids (0.05 μm). Scanning electron microscopy and filtration analyses revealed size‐dependent heteroaggregation, where smaller colloids deposited on larger ones, forming pore‐blocking aggregates. HYDRUS‐1D simulations identified three governing factors: pore size, surface potential, and media heterogeneity. These findings demonstrate: (a) mixed colloid transport cannot be predicted from monodisperse system behavior and (b) high‐resolution tracking is essential for accurate mixed colloid transport prediction. This work provides critical insights for assessing colloid‐facilitated contaminant transport in groundwater systems.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2025-11-28
DOI
https://doi.org/10.1029/2025gl119363
Primary Topic
Fecal contamination and water quality
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Synthetic DNA Labeling Approach for High‐Resolution Characterization of Mixed‐Size Colloid Transport in Porous Media

Jiřı́ Šimůnek, Changxi Wang, Dayong Yang, Zhongyi Duan et al.
Geophysical Research Letters
Fecal contamination and water quality
article

A Synthetic DNA Labeling Approach for High‐Resolution Characterization of Mixed‐Size Colloid Transport in Porous Media

Jiřı́ Šimůnek, Changxi Wang, Dayong Yang, Zhongyi Duan, Yuqi Liu, Renkuan Liao, Yan Liao
article en

Abstract

Abstract Both UV spectrophotometry and dynamic light scattering techniques present substantial limitations in characterizing mixed colloid size distributions, challenging their transport studies. We developed a synthetic DNA‐labeling/qPCR approach to distinguish mixed colloids (0.05, 0.5, and 5 μm) transport in porous media. Contrary to single‐size systems where larger colloids (5 μm) were more retained, mixed‐size systems showed higher retention of smaller colloids (0.05 μm). Scanning electron microscopy and filtration analyses revealed size‐dependent heteroaggregation, where smaller colloids deposited on larger ones, forming pore‐blocking aggregates. HYDRUS‐1D simulations identified three governing factors: pore size, surface potential, and media heterogeneity. These findings demonstrate: (a) mixed colloid transport cannot be predicted from monodisperse system behavior and (b) high‐resolution tracking is essential for accurate mixed colloid transport prediction. This work provides critical insights for assessing colloid‐facilitated contaminant transport in groundwater systems.

Geophysical Research LettersVol. 52(23)
University of California, Riverside (US), Fudan University (CN), Ministry of Agriculture and Rural Affairs (CN), Collaborative Innovation Center of Chemistry for Energy Materials (CN)
National Natural Science Foundation of China, Chinese Universities Scientific Fund
Openalex Percentile: Top 66%
Fecal contamination and water quality
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Synthetic DNA Labeling Approach for High‐Resolution Characterization of Mixed‐Size Colloid Transport in Porous Media — Jiřı́ Šimůnek, Changxi Wang, et al. · Geophysical Research Letters (2025) | TGRS Research Map | TGRS