Evidence map›Paper›PMID 41910108›Full record

ArticleWater science and technology : a journal of the International Association on Water Pollution Research2026

Effect of the feeding strategy on aerobic granular sludge formation and microbial selection in the treatment of real brewery wastewater.

Haixin Duan, Dorothee Goettert, Koen Goossens, Jan Dries

Abstract read
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In one paragraph

Article in Water science and technology : a journal of the International Association on Water Pollution Research, 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

4 authors.

Haixin DuanResearch Group BioWAVE, Faculty of Applied Engineering, University of Antwerp, Campus Groenenborger, Groenenborgerlaan, 171, Antwerp 2020, Belgium.ORCID https://orcid.org/0009-0004-2059-1167
Dorothee GoettertResearch Group BioWAVE, Faculty of Applied Engineering, University of Antwerp, Campus Groenenborger, Groenenborgerlaan, 171, Antwerp 2020, Belgium.
Koen GoossensResearch Group BioWAVE, Faculty of Applied Engineering, University of Antwerp, Campus Groenenborger, Groenenborgerlaan, 171, Antwerp 2020, Belgium.
Jan DriesResearch Group BioWAVE, Faculty of Applied Engineering, University of Antwerp, Campus Groenenborger, Groenenborgerlaan, 171, Antwerp 2020, Belgium E-mail: jan.dries2@uantwerpen.be.ORCID https://orcid.org/0000-0002-0204-5697

Funding

China Sponsorship Council 202206860001
6 · The paper itself

Abstract

Although aerobic granular sludge (AGS) technology presents a promising alternative to conventional wastewater treatment methods, its application to real industrial wastewater is often limited by complexity and variability of influent wastewater. In this study, slow feeding (SF) and fast feeding (FF) reactors were operated under different feeding configurations. Both reactors achieved successful granulation under the anaerobic/aerobic (An/A) operational strategy, resulting in high pollutant removal efficiencies (total organic carbon (TOC), chemical oxygen demand (COD), and total nitrogen (TN) > 90%) and enhanced sludge settleability (sludge volume index (SVI) < 50 mL/g). The An/A operation effectively suppressed filamentous bacteria (<1% relative abundance) and promoted the selective enrichment of the glycogen-accumulating organisms (

Indexed as

Industrial WasteSewageWaste Disposal, FluidWastewaterAerobiosisBacteriaBioreactorsIndustrial WasteSewageWastewateraerobic granular sludgefeeding strategyglycogen-accumulating organisms (GAOs)industrial wastewatermicrobial selectionpolyphosphate-accumulating organisms (PAOs)

Identifiers

PMID41910108

What OpenQuestion holds

Textmetadata
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.