Evidence map›Paper›PMID 41745509›Full record

ArticleMembranes2026

Spatial Differentiation of Microbial Communities in Hybrid Membrane Bioreactor (HMBR) and Their Impact on Pollutant Removal.

Ying Li, Yuhan Liu, Qiang Liu, Wei Xiang, Jixiang Qu, Yangyang Yang, Xiulei Fan, Huixian Li, Hongmei Du

Abstract read
In one paragraph

Article in Membranes, 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.

Ying LiSchool of Environmental Engineering, Xuzhou University of Technology, Xuzhou 221018, China.
Yuhan LiuSchool of Environmental Engineering, Xuzhou University of Technology, Xuzhou 221018, China.
Qiang LiuSchool of Environmental Engineering, Xuzhou University of Technology, Xuzhou 221018, China.
Wei XiangSchool of Environmental Engineering, Xuzhou University of Technology, Xuzhou 221018, China.
Jixiang QuProfessional Education and Field Training Base, Army Engineering University of PLA, Xuzhou 221000, China.
Yangyang YangSchool of Environmental Engineering, Xuzhou University of Technology, Xuzhou 221018, China.
Xiulei FanSchool of Environmental Engineering, Xuzhou University of Technology, Xuzhou 221018, China.
Huixian LiXuzhou River and Lake Management Center, Xuzhou 221018, China.
Hongmei DuShandong Jianzhu University Design Group Co., Ltd., Jinan 250101, China.

Funding

Jiangsu Provincial Vice President of Science and Technology Project No.FZ20250602Project of Industry and School and Research Institution of Jiangsu Province BY20250444Xuzhou Key Research and Development Project KC22098
6 · The paper itself

Abstract

A hybrid membrane bioreactor (HMBR) enhances treatment performance by simultaneously utilizing organisms on both suspended and attached sludge, yet the microbial mechanisms underpinning their efficiency remain poorly understood. In this study, we investigate spatial variability within microbial communities in HMBRs and correlate this factor with pollutant removal capacity. High-throughput sequencing results revealed significant differences in community structure between suspended sludge, suspended media surfaces, and membrane module surfaces. Suspended sludge exhibited the highest species richness, whereas microbial communities on suspended media resembled those within the sludge, contrasting markedly with membrane surface communities. Key functional groups were enriched at specific locations:

Indexed as

functional bacteriahigh-throughput sequencinghybrid membrane bioreactormathematical analysismicrobial community structure

Identifiers

PMID41745509
PMCPMC12942007

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.