Evidence map›Paper›PMID 40942049›Full record

ReviewMolecules (Basel, Switzerland)2025

Advances in the Application of Aerobic Granular Sludge for the Removal of Emerging Contaminants in Municipal and Industrial Wastewater.

Gobi Kanadasan, Choon Aun Ng, Vel Murugan Vadivelu, Mohammad J K Bashir

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 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. Review
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.

Gobi KanadasanDepartment of Chemical Engineering, Universiti Tunku Abdul Rahman, Kampar 31900, Perak, Malaysia.
Choon Aun NgDepartment of Environmental Engineering, Universiti Tunku Abdul Rahman, Kampar 31900, Perak, Malaysia.
Vel Murugan VadiveluSchool of Chemical Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal 14300, Penang, Malaysia.ORCID 0000-0003-3892-9571
Mohammad J K BashirSchool of Engineering and Technology, Central Queensland University, 120 Spencer St., Melbourne, VIC 3000, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aerobic granules are dense three-dimensional microbial aggregates which are known for their excellent settling ability, high biomass retention, and simultaneous biological reaction due to their multilayered structure. All these features enable the aerobic granules to remove emerging contaminants, such as pharmaceutical and personal care products (PPCPs), endocrine-disrupting compounds (EDCs), microplastics, and per- and polyfluoroalkyl substances (PFASs) in municipal and industrial wastewater. This review discusses the development and application of the aerobic granules, especially in a sequencing batch reactor (SBR) with a height over diameter (H/D) ratio of 5 to 10. The mechanisms of EC removal in aerobic granules and the removal efficiency of the ECs by aerobic granules were also scrutinized, with the reported removal efficiency ranging from 10-100% for PPCPs, 84-94% for EDCs, 74-95% for microplastics, and more than 85% for PFAs. In spite of the huge potential of aerobic granular technology, its large-scale implementation is hampered by operational and scaling challenges. Future research should focus on optimizing the operational parameters and overcoming the scale-up barrier to fully leverage the potential of aerobic granules in removing ECs.

Indexed as

SewageWastewaterWater Pollutants, ChemicalWater PurificationAerobiosisBiodegradation, EnvironmentalBioreactorsSewageWastewaterWater Pollutants, Chemicalaerobic granulesemerging contaminantsmechanismtreatment performance

Identifiers

PMID40942049
PMCPMC12430782

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.