Synthetic DNA Tracers Enable Ultra-High-Reproducibility Characterization of Aquifer Hydraulic Conductivity and Contaminant Transport

Abstract Reliable characterization of aquifer hydraulic conductivity (K) via tracer-based methods remains a major challenge due to environmental background noise. We report that synthetic DNA tracers, free of background-noise interference, enable highly reproducible tomographic inversion of K fields across six replicate experiments conducted in a heterogeneous laboratory sandbox measuring 180 cm (length) × 10 cm (width) × 90 cm (height) at a steady flow rate of approximately 177.4 cm3 min–1. The results demonstrate superior reproducibility of the DNA tracers relative to dye tracers across three evaluation levels: travel-time consistency, where the contrast is most pronounced (mean R2 = 0.84 for DNA tracers versus R2 = 0.10 for dye tracers), inverted lnK field coherence, and prediction-level robustness. Contaminant-transport forecasts under four scenarios, spanning pulse versus continuous releases and conservative versus decaying solutes, further indicate that DNA-derived K fields yield substantially more stable predictions than dye-derived K fields in nearly all cases. These advantages arise from the standardized molecular design of oligonucleotides and their sequence-specific quantitation via qPCR, which collectively mitigate background interference and tracer-specific transport artifacts. These findings show that synthetic DNA tracers constitute a promising tool for aquifer characterization, addressing a critical gap in tracer-based tomography for groundwater investigations.

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Publication Details

Journal
Environmental Science & Technology
Published
2026-10-08
DOI
https://doi.org/10.1021/acs.est.6c07744
Primary Topic
Groundwater flow and contamination studies
Type
article
Field-Weighted Citation Impact
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article

Synthetic DNA Tracers Enable Ultra-High-Reproducibility Characterization of Aquifer Hydraulic Conductivity and Contaminant Transport

Jiřı́ Šimůnek, Zhaofei Duan, Ziyu Zhou, Renkuan Liao et al.
Environmental Science & Technology
Groundwater flow and contamination studies
article

Synthetic DNA Tracers Enable Ultra-High-Reproducibility Characterization of Aquifer Hydraulic Conductivity and Contaminant Transport

Jiřı́ Šimůnek, Zhaofei Duan, Ziyu Zhou, Renkuan Liao, Dayong Yang, Dan Luo, Yanling Liao, Xinlin Li
article en

Abstract

Abstract Reliable characterization of aquifer hydraulic conductivity (K) via tracer-based methods remains a major challenge due to environmental background noise. We report that synthetic DNA tracers, free of background-noise interference, enable highly reproducible tomographic inversion of K fields across six replicate experiments conducted in a heterogeneous laboratory sandbox measuring 180 cm (length) × 10 cm (width) × 90 cm (height) at a steady flow rate of approximately 177.4 cm3 min–1. The results demonstrate superior reproducibility of the DNA tracers relative to dye tracers across three evaluation levels: travel-time consistency, where the contrast is most pronounced (mean R2 = 0.84 for DNA tracers versus R2 = 0.10 for dye tracers), inverted lnK field coherence, and prediction-level robustness. Contaminant-transport forecasts under four scenarios, spanning pulse versus continuous releases and conservative versus decaying solutes, further indicate that DNA-derived K fields yield substantially more stable predictions than dye-derived K fields in nearly all cases. These advantages arise from the standardized molecular design of oligonucleotides and their sequence-specific quantitation via qPCR, which collectively mitigate background interference and tracer-specific transport artifacts. These findings show that synthetic DNA tracers constitute a promising tool for aquifer characterization, addressing a critical gap in tracer-based tomography for groundwater investigations.

Environmental Science & Technology
University of California, Riverside (US), Cornell University (US), Fudan University (CN), China Agricultural University (CN)
Openalex Percentile: Top 20%
Groundwater flow and contamination studies
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