Evidence map›Paper›PMID 41953295›Full record

ArticleRSC advances2026

Landfill leachate treatment by the symbiotic system of bacteria and microalgae: high-efficiency and low-consumption green biological treatment system.

Di Wang, Salma Tabassum, Jun Li, Guanglei Li, Hüseyin Altundag, Ningwen Zhang, Imran Khan

Abstract read
In one paragraph

Article in RSC advances, 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

7 authors.

Di WangSchool of Municipal and Environmental Engineering, Shenyang Jianzhu University Shenyang 110168 China junlee@sjzu.edu.cn.
Salma TabassumDepartment of Chemistry, Faculty of Science, Sakarya University Sakarya 54187 Turkey tsalma@sakarya.edu.tr salmazenith@gmail.com +90 5011085451.ORCID https://orcid.org/0000-0001-7337-0879
Jun LiSchool of Municipal and Environmental Engineering, Shenyang Jianzhu University Shenyang 110168 China junlee@sjzu.edu.cn.
Guanglei LiSchool of Municipal and Environmental Engineering, Shenyang Jianzhu University Shenyang 110168 China junlee@sjzu.edu.cn.
Hüseyin AltundagDepartment of Chemistry, Faculty of Science, Sakarya University Sakarya 54187 Turkey tsalma@sakarya.edu.tr salmazenith@gmail.com +90 5011085451.
Ningwen ZhangSchool of Municipal and Environmental Engineering, Shenyang Jianzhu University Shenyang 110168 China junlee@sjzu.edu.cn.
Imran KhanDepartment of Chemistry, College of Science, Sultan Qaboos University Muscat Oman.ORCID https://orcid.org/0000-0001-7067-7461

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study uses domestic sewage to dilute landfill leachate, conserve freshwater resources, and supplement phosphorus. The proportion of landfill leachate is increased, and the microalgae photosynthesis is coupled with the SBR system to process the diluted leachate. A bacterial and algal symbiotic photobioreactor (PBR) was constructed to improve the efficiency of sewage treatment by optimizing parameters (aeration rate, light) for investigating the synergy of microalgae and bacteria, and the effect of treating Landfill leachate. The long-term operational impact of the reactor under two different inoculation conditions was investigated: one group was inoculated only with activated sludge and controlled light to promote the spontaneous growth of microalgae (Rc), and the other group was inoculated with activated sludge and

Identifiers

PMID41953295
PMCPMC13054948

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.