Evidence map›Paper›PMID 41820350›Full record

ArticleNature communications2026

A hydro-topological strategy enables self-regulating biofilms for sustainable wastewater treatment.

Yong Fang, Zhiqiang Zhang, Boru Xue, Ying Liu, Kuichuan Sheng

Abstract read
In one paragraph

Article in Nature communications, 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

5 authors.

Yong FangCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0002-7336-7175
Zhiqiang ZhangHangzhou Tao of Water Technology Co., Ltd, Hangzhou, China.ORCID http://orcid.org/0000-0002-1632-5139
Boru XueSchool of Mining Engineering, University of Science and Technology Liaoning, Anshan, China.ORCID http://orcid.org/0000-0001-8897-7462
Ying LiuCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China. liuyingzju@zju.edu.cn.ORCID http://orcid.org/0000-0003-1358-6445
Kuichuan ShengCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China. kcsheng@zju.edu.cn.ORCID http://orcid.org/0000-0002-0693-9751

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The moving bed biofilm reactor (MBBR) is a cornerstone technology in modern wastewater treatment, yet its performance is often hindered by carrier clogging, which significantly reduces overall treatment efficiency and undermines the technology's environmental benefits. Here, we introduce a V-carrier hydro-topological design strategy that enables biofilm self-regulation, allowing simultaneous control of biofilm thickness and continuous hydraulic shear-induced self-cleaning. In a pure biofilm system treating real municipal wastewater for over 500 days, the V-carrier achieves stable and efficient nutrient removal even under low-temperature (9.1 °C) and high-loading conditions. Crucially, it achieves a 3.2-fold higher unit biomass nitrification rate with a biofilm biomass 44% lower than a conventional K3 carrier, demonstrating that treatment efficiency is decoupled from biomass quantity through optimal ecological niche design. This work establishes a paradigm for biofilm reactor design, transforming carriers from passive substrates into active regulators of microbial ecosystems, with profound implications for sustainable water infrastructure.

Indexed as

BiofilmsBioreactorsWaste Disposal, FluidWastewaterWater PurificationBiomassNitrificationWastewater

Identifiers

PMID41820350
PMCPMC13125250

What OpenQuestion holds

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LicenceCC BY
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.