Evidence map›Paper›PMID 42738652›Full record

ReviewMolecules (Basel, Switzerland)2026

Carrier-Assisted Nanomaterials and Microbial Dynamics in Advanced Wastewater Treatment: A Review.

Zhongchuang Liu, Siu Hua Chang, Gilles Mailhot, Mohsen Taghavijeloudar, Valentin Romanovski

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 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.

Zhongchuang LiuDepartment of Environmental Engineering Technology, College of Power Engineering, Chongqing Electric Power College, No. 9, Electric Power Fourth Village, Jiulongpo District, Chongqing 400053, China.
Siu Hua ChangWaste Management and Resource Recovery (WeResCue) Group, Chemical Engineering Studies, College of Engineering, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh 13500, Penang, Malaysia.ORCID 0000-0001-8010-7059
Gilles MailhotInstitut de Chimie de Clermont-Ferrand, Université Clermont Auvergne-CNRS, F-63000 Clermont-Ferrand, France.ORCID 0000-0002-8179-8880
Mohsen TaghavijeloudarDepartment of Civil Engineering, Mazandaran Institute of Technology, Babol 4748161136, Iran.ORCID 0000-0003-1765-5647
Valentin RomanovskiDepartment of Materials Science and Engineering, University of Virginia, Charlottesville, VA 22904, USA.ORCID 0000-0003-1741-0316

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanomaterials (NMs) have shown broad application potential in wastewater deep treatment, but the actual application is constrained by some issues such as nanoparticle (NP) aggregation and poor recyclability. Different from previous comprehensive reviews, this article systematically synthesizes data from over 100 peer-reviewed studies (2012 to 2026) to review the preparation methods, purification mechanisms, and removal efficiencies for various pollutants, and the technical and economic feasibility of NMs, with an emphasis on carrier-assisted immobilization and NM-microbial aggregate interactions. To start with, the methods of preparation were roughly distinguished into two categories which were "top-down" and "bottom-up" methods. The advantages, disadvantages, and utilities of the physical, chemical, and eco-friendly methods of biosynthesis were investigated while paying particular attention to the function of the loading technique in preventing NP aggregation and improving recyclability. By using the technique of loading in the carrier, the growth of NPs could be restricted up to 2-50 nm. Secondly, seven basic mechanisms that underlie the process of removing pollutants by using NPs were explained: adsorption, catalytic degradation, ion exchange, surface complexation, antibacterial action, redox transformation, and waste recycling. Particular focus was placed on understanding the interactions between NMs, microbial aggregates, and extracellular polymeric substances in wastewater treatment systems. Extracellular polymeric substances (EPS) could capture >90% NMs and mitigate their toxicity. Once again, the removal efficiency and main influencing factors associated with different types of NMs, for the treatment of heavy metals, dyes, antibiotics, and pathogenic microorganisms were summarized. Removal efficiencies of the pollutants ranged from 70% to over 99%, but these values were strongly influenced by pH and matrix and often decreased substantially in real wastewater. The existing literature was used to classify the experimental substrates (single-solute systems, multi-solute synthetic systems, municipal wastewater, industrial wastewater, secondary effluent). The performance of NMs in different categories was compared, revealing the huge performance gap between ideal laboratory conditions and practical applications. Lastly, the economic viability of the methods based on the use of NMs for purifying water was assessed taking into consideration various factors such as raw materials' prices, energy costs of the process of making materials, recyclability of the materials, and the possibility of introducing the use of NMs on a larger scale. Unlike existing reviews, this article aims to provide a quantitative mechanistic framework bridging the rational design, safe application, and engineering promotion of NMs in deep wastewater treatment.

Indexed as

NanostructuresWastewaterWater PurificationAdsorptionBacteriaWaste Disposal, FluidWater Pollutants, ChemicalWastewaterWater Pollutants, Chemicaladsorption catalysisadvanced treatment of wastewatereconomic analysismicrobial interactionsnanomaterials

Identifiers

PMID42738652
PMCPMC13567525

What OpenQuestion holds

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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.