Evidence map›Paper›PMID 40963804›Full record

ArticleACS ES&T water2025

Advanced Treatment of Landfill Leachate Induced Dissolved Organic Nitrogen (DON) and Its Influence on the Estuarine Algal Community.

Harsh V Patel, Md Redowan Rashid, Md Ashik Ahmed, Lifeng Zhang, Brian Brazil, Wenzheng Yu, Hans W Paerl, Renzun Zhao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS ES&T water, 2025. 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

8 authors.

Harsh V PatelDepartment of Civil, Architectural, and Environmental Engineering, North Carolina A&T State University, Greensboro, North Carolina 27411, United States.
Md Redowan RashidDepartment of Civil, Architectural, and Environmental Engineering, North Carolina A&T State University, Greensboro, North Carolina 27411, United States.
Md Ashik AhmedJoint School of Nanoscience and Nanoengineering, North Carolina A&T State University, Greensboro, North Carolina 27401, United States.
Lifeng ZhangJoint School of Nanoscience and Nanoengineering, North Carolina A&T State University, Greensboro, North Carolina 27401, United States.ORCID https://orcid.org/0000-0001-6125-7502
Brian BrazilWaste Management, Inc., Gaithersburg, Maryland 20878, United States.
Wenzheng YuState Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100084, China.ORCID https://orcid.org/0000-0001-9776-8021
Hans W PaerlInstitute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, North Carolina 28557, United States.
Renzun ZhaoDepartment of Civil, Architectural, and Environmental Engineering, North Carolina A&T State University, Greensboro, North Carolina 27411, United States.ORCID https://orcid.org/0000-0002-2723-2616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Landfill leachate is a major source of refractory dissolved organic nitrogen (rDON), which can exacerbate eutrophication and harmful algal blooms in downstream aquatic ecosystems. This study evaluates the effectiveness of two advanced physicochemical treatmentsFenton oxidation and granular activated carbon (GAC) adsorptionfor rDON removal from biologically treated landfill leachate blended with sewage, and their impacts on the estuarine algal (phytoplankton) community with

Indexed as

dissolved organic nitrogen (DON)fenton treatmentgranular activated carbon (GAC)in situ algal bioassayslandfill leachate

Identifiers

PMID40963804
PMCPMC12439301

What OpenQuestion holds

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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.