Evidence map›Paper›PMID 37255211›Full record

ArticleEnvironmental science & technology2023

Residential Water Softeners Release Carbon, Consume Chlorine, and Require Remediation after Hydrocarbon Contamination.

Caroline M Jankowski, Lauren A Gustafson, Kristofer P Isaacson, Katie R Del Real, Yoorae Noh, Aliya B Ehde, Madeline B Larsen, Kyungyeon Ra, Maria A Palmegiani, Catherine E Fleming and 4 more

Abstract read
In one paragraph

Article in Environmental science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Caroline M JankowskiDivision of Environmental and Ecological Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Lauren A GustafsonLyles School of Civil Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Kristofer P IsaacsonDivision of Environmental and Ecological Engineering, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0002-0236-8226
Katie R Del RealDivision of Environmental and Ecological Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Yoorae NohLyles School of Civil Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Aliya B EhdeDivision of Environmental and Ecological Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Madeline B LarsenDivision of Environmental and Ecological Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Kyungyeon RaLyles School of Civil Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Maria A PalmegianiLyles School of Civil Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Catherine E FlemingDivision of Environmental and Ecological Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
William J SchmidtLyles School of Civil Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Amisha D ShahLyles School of Civil Engineering, Division of Environmental and Ecological Engineering, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0003-0096-9922
Caitlin R ProctorDepartment of Agricultural and Biological Engineering, Division of Environmental and Ecological Engineering, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0002-7868-4057
Andrew J WheltonLyles School of Civil Engineering, Division of Environmental and Ecological Engineering, Center for Plumbing Safety, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0001-5934-3081

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water quality impacts of new ion exchange point-of-entry residential softeners and their ability to be decontaminated following hydrocarbon exposure were investigated. During startup, significant amounts of total sulfur (445 ± 815 mg/L) and total organic carbon (937 ± 119 mg/L) were released into the drinking water that flowed through the softeners. Particulate organic carbon was released until the third regeneration cycle, and resin may also have been released. After one week of device use, softeners continued to cause organic carbon levels to be four to five times greater than background levels. Leached materials from the ion-exchange resin contributed to chlorine decay. When resins were exposed to hydrocarbon-contaminated water, they sorbed benzene, toluene, ethylbenzene, and xylenes (BTEX) and then desorbed the contaminants into drinking water during a 15 day flushing decontamination period. On day 15, benzene exceeded the federal drinking water limit for two of the four resins. The aged resin contributed to the greatest chlorine decay rates and sorbed and then retained the least amount of BTEX. Scale and biofilm on the aged resin likely prompted disinfectant reactivity and inhibited BTEX diffusion into the resin. Study results show that softeners exposed to hydrocarbon-contaminated water may need to be repeatedly flushed to remove BTEX contamination or be replaced. Additional work is recommended to better understand softener impacts on drinking water quality.

Indexed as

Drinking WaterWater Pollutants, ChemicalBenzeneBenzene DerivativesCarbonChlorineHydrocarbonsTolueneXylenesBenzeneBenzene DerivativesCarbonChlorineDrinking WaterethylbenzeneHydrocarbonsTolueneWater Pollutants, ChemicalXylenescontaminationdrinking waterIon-exchangeleachingplumbingsoftenerwater quality

Identifiers

PMID37255211
PMCPMC10269340

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.