Evidence map›Paper›PMID 41136857›Full record

ReviewDiscover nano2025

Nanoparticles for targeted removal of emerging contaminants in wastewater: mechanisms and sustainable practices.

Onimisi P Onotu, Humphrey S Samuel, David A Undie, Oluwakemi O Akinpelu, Francis A Ibekwe, Emmanuel E Etim

Abstract readReview
In one paragraph

Review in Discover nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Onimisi P OnotuDepartment of Industrial Chemistry, University of Ilorin, Ilorin, Kwara State, Nigeria. onotuprincewill1@gmail.com.ORCID http://orcid.org/0000-0001-5200-4036
Humphrey S SamuelDepartment of Chemical Sciences, Federal University Wukari, Wukari, Taraba State, Nigeria.
David A UndieDepartment of Chemical Sciences, Federal University Wukari, Wukari, Taraba State, Nigeria.
Oluwakemi O AkinpeluCerba Lancet Laboratory, Ibadan, Oyo State, Nigeria.
Francis A IbekweDepartment of Pure and Industrial Chemistry, University of Nigeria Nsukka, Nsukka, Enugu State, Nigeria.
Emmanuel E EtimDepartment of Chemical Sciences, Federal University Wukari, Wukari, Taraba State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing prevalence of emerging contaminants in wastewater, including pharmaceuticals, microplastics, and heavy metals, poses significant environmental and health challenges. This study investigates sustainable nanoparticle-based solutions for EC removal, with particular focus on biogenic synthesis methods and their practical implementation. We systematically evaluate the efficacy of biologically synthesized nanoparticles (e.g., plant-derived silver and titanium dioxide nanoparticles) for targeted pollutant degradation, while critically assessing their scalability and economic feasibility for industrial wastewater treatment. Our approach combines a comprehensive review of green synthesis methodologies with experimental validation of nanoparticle performance in EC removal. The findings indicate that biogenic nanoparticles, such as silver nanoparticles synthesized from Ficus carica leaf extract, demonstrated significant antibacterial activity, while titanium dioxide nanoparticles from Annona muricata L. extract showed promising photocatalytic efficiency for degrading organic pollutants. However, challenges such as low product yield in microbial electrosynthesis were identified, highlighting the need for optimization in production processes. The study provides essential insights for transitioning these methods from experimental systems to practical applications, offering a framework for more sustainable wastewater treatment.

Indexed as

AdsorptionComputational modelingEnvironmental nanotechnologyGreen synthesisPhotocatalysis

Identifiers

PMID41136857
PMCPMC12552218

What OpenQuestion holds

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LicenceCC BY
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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.