Quantitative Polymerase Chain Reaction-Based UV Biodosimetry Using Indigenous 16S rRNA Genes Enables Dose-Verified Validation of Wastewater Disinfection Reactors

Reliable validation of ultraviolet (UV) reactor performance is essential for effective wastewater disinfection. Because DNA is the primary UV target and ubiquitous in wastewater, intracellular 16S rRNA genes represent promising molecular surrogates for biodosimetry. Here, we developed and field-validated a quantitative polymerase chain reaction (qPCR)-based framework to quantify reduction equivalent dose (RED) in full-scale wastewater UV reactors without spiking external challenge organisms. Across five municipal wastewater treatment plants, a 1.5 kbp 16S rRNA gene amplicon exhibited consistent first-order degradation kinetics at UV fluences of 0–50 mJ/cm2 (R2 > 0.90), with a reproducible fluence-based rate constant (kUV,Amp) of 0.10 ± 0.01 cm2/mJ and <10% variability across sites, seasons, and biomass levels. Applying this kinetic parameter, REDs of 3–57 mJ/cm2 were quantified for full-scale reactors, revealing substantial temporal and regional variability, including periods of insufficient UV dose undetected by routine coliform monitoring. The RED variability correlated strongly with turbidity and UV transmittance, highlighting optical shielding effects. The framework also accurately predicted UV attenuation of representative intracellular antibiotic resistance genes (i-ARGs). Overall, qPCR-based monitoring of intracellular 16S rRNA degradation enables rapid (within hours) and broadly applicable dose-verified UV performance assessment for municipal wastewater.

Authors

Institutions

Publication Details

Journal
ACS ES&T Water
Published
2026-03-12
DOI
https://doi.org/10.1021/acsestwater.6c00032
Primary Topic
Listeria monocytogenes in Food Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative Polymerase Chain Reaction-Based UV Biodosimetry Using Indigenous 16S rRNA Genes Enables Dose-Verified Validation of Wastewater Disinfection Reactors

Sujin Shin, Yunho Lee
ACS ES&T Water
Listeria monocytogenes in Food Safety
article

Quantitative Polymerase Chain Reaction-Based UV Biodosimetry Using Indigenous 16S rRNA Genes Enables Dose-Verified Validation of Wastewater Disinfection Reactors

Sujin Shin, Yunho Lee
article en

Abstract

Reliable validation of ultraviolet (UV) reactor performance is essential for effective wastewater disinfection. Because DNA is the primary UV target and ubiquitous in wastewater, intracellular 16S rRNA genes represent promising molecular surrogates for biodosimetry. Here, we developed and field-validated a quantitative polymerase chain reaction (qPCR)-based framework to quantify reduction equivalent dose (RED) in full-scale wastewater UV reactors without spiking external challenge organisms. Across five municipal wastewater treatment plants, a 1.5 kbp 16S rRNA gene amplicon exhibited consistent first-order degradation kinetics at UV fluences of 0–50 mJ/cm2 (R2 > 0.90), with a reproducible fluence-based rate constant (kUV,Amp) of 0.10 ± 0.01 cm2/mJ and <10% variability across sites, seasons, and biomass levels. Applying this kinetic parameter, REDs of 3–57 mJ/cm2 were quantified for full-scale reactors, revealing substantial temporal and regional variability, including periods of insufficient UV dose undetected by routine coliform monitoring. The RED variability correlated strongly with turbidity and UV transmittance, highlighting optical shielding effects. The framework also accurately predicted UV attenuation of representative intracellular antibiotic resistance genes (i-ARGs). Overall, qPCR-based monitoring of intracellular 16S rRNA degradation enables rapid (within hours) and broadly applicable dose-verified UV performance assessment for municipal wastewater.

ACS ES&T Water
Gwangju Institute of Science and Technology (KR)
Clean water and sanitation
Openalex Percentile: Top 27%
Listeria monocytogenes in Food Safety
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.

Quantitative Polymerase Chain Reaction-Based UV Biodosimetry Using Indigenous 16S rRNA Genes Enables Dose-Verified Validation of Wastewater Disinfection Reactors — Sujin Shin, Yunho Lee · ACS ES&T Water (2026) | TGRS Research Map | TGRS