Evidence map›Paper›PMID 41474322›Full record

ArticleEnvironmental science & technology2026

Identification of Factors Influencing Variability in Disinfection Byproducts and Their Toxicity in Chlorinated and Chloraminated Drinking Water Distribution Systems across the United States.

Samantha DiLoreto, Huanqi He, Jinhao Yang, Patrick Milne, Jiaqi Li, Christopher A Impellitteri, Aron Stubbins, Ameet Pinto, Ching-Hua Huang

Abstract read
In one paragraph

Article in Environmental science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Samantha DiLoretoSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Huanqi HeSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0003-2907-193X
Jinhao YangSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Patrick MilneDepartment of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts 02115, United States.
Jiaqi LiSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0009-0006-8791-1158
Christopher A ImpellitteriThe Water Tower, Buford, Georgia 30519, United States.ORCID 0009-0006-5303-4927
Aron StubbinsDepartment of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts 02115, United States.
Ameet PintoSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0003-1089-5664
Ching-Hua HuangSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-3786-094X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drinking water distribution systems (DWDSs) are dynamic environments where disinfection byproducts (DBPs) form and transform, shaped by factors such as the disinfectant type, water chemistry, biofilms, and pipe materials. Understanding the occurrence and drivers of DBP formation within DWDSs is essential for evaluating water quality and potential health risks. This study examined DBP occurrence and variability across eight utilities in the United States, three using chlorination and five using chloramination (as secondary/residual disinfectants), by analyzing 152 quarterly samples collected from multiple locations within each distribution system. Regulated DBPs were found at the highest concentrations. Haloacetonitriles (HANs) and haloacetic acids (HAAs) contributed most to the predicted toxicity. Spearman correlations, redundancy discriminant analysis, and random forest regression revealed how key influencing predictors of DBPs vary between chlorinated and chloraminated systems. Elevated dissolved organic carbon (DOC) and primary disinfectant type were the two most important contributors to DBP formation, with DOC most influential in chloraminated systems and primary disinfectant type (HOCl vs O

Indexed as

DisinfectionDrinking WaterChloraminesDisinfectantsHalogenationUnited StatesWater Pollutants, ChemicalWater PurificationWater QualityWater SupplyChloraminesDisinfectantsDrinking WaterWater Pollutants, Chemicalcytotoxicitydrinking water distribution systemsgenotoxicitynonregulated DBPsrandom forest regressionredundancy discriminant analysisregulated disinfection byproductsSpearman correlationUnited States

Identifiers

PMID41474322
PMCPMC12810234

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.