Evidence map›Paper›PMID 41728039›Full record

ReviewRSC advances2026

Nanoremediation of arsenic from contaminated water by new generation graphene-based nanomaterials: a comprehensive review.

Muhammad Shahbaz Akhtar, Muhammad Atif Irshad, Azhar Hussain, Maria Iqbal, Laiba Ishtiaq, Mohamed Abdel Rafea, Yoshitaka Nakashima, Sami A Al-Hussain, Ali Irfan, Magdi E A Zaki

Abstract readReview
In one paragraph

Review in RSC advances, 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

10 authors.

Muhammad Shahbaz AkhtarDepartment of Environmental Sciences, Forman Christian College (A Chartered University) Lahore Pakistan shahbazakhtar@fccollege.edu.pk laibalaiba065@gmail.com.
Muhammad Atif IrshadDepartment of Environmental Sciences, The University of Lahore 54000 Pakistan atif.irshad91@yahoo.com azhar1963hussain1993@gmail.com mariakhaan1233@gmail.com.
Azhar HussainDepartment of Environmental Sciences, The University of Lahore 54000 Pakistan atif.irshad91@yahoo.com azhar1963hussain1993@gmail.com mariakhaan1233@gmail.com.
Maria IqbalDepartment of Environmental Sciences, The University of Lahore 54000 Pakistan atif.irshad91@yahoo.com azhar1963hussain1993@gmail.com mariakhaan1233@gmail.com.
Laiba IshtiaqDepartment of Environmental Sciences, Forman Christian College (A Chartered University) Lahore Pakistan shahbazakhtar@fccollege.edu.pk laibalaiba065@gmail.com.
Mohamed Abdel RafeaDepartment of Physics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh 11623 Saudi Arabia MAKonsow@imamu.edu.sa.
Yoshitaka NakashimaGraduate School of Environmental, Life, Natural Science and Technology, Okayama University Japan nakayosi@okayama-u.ac.jp.
Sami A Al-HussainDepartment of Chemistry, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh 11623 Saudi Arabia sahussain@imamu.edu.sa mezaki@imamu.edu.sa.
Ali IrfanThe Green Institute of Chemical Biomedical and Environmental Sciences (GICBES) Lahore 54000 Pakistan draliirfan.ceo@gicbes.com raialiirfan@gmail.com.ORCID https://orcid.org/0000-0002-8977-3303
Magdi E A ZakiDepartment of Chemistry, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh 11623 Saudi Arabia sahussain@imamu.edu.sa mezaki@imamu.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water contamination by metals and metalloids, particularly arsenic (As), is a serious global issue and a pressing challenge for countries with limited water resources. Since As is derived both from natural sources and human activities, including industrial effluents, agricultural runoff, and domestic sewage water discharges, it poses a severe threat to biodiversity, ecosystems, and human health due to its toxicity, carcinogenicity, and mutagenicity, even at trace levels. Traditional remediation methods for As removal from water media, including coagulation, reverse osmosis, and adsorption, are increasingly popular due to low cost and higher removal efficiency. However, recent advances in adsorption research have focused on the development of nanostructured materials with superior physicochemical properties and higher removal efficiencies compared to conventional treatment methods. The high porosity, low density, mechanical strength, and exceptional electrochemical properties of graphene (G)-based nanomaterials distinguish them from other metallic and other polymeric nanomaterials. These new generation GO-based nanomaterials, such as ultra-thin layers of graphene atoms, 2D materials, and nanofibrous sheets, are also efficient remedies for HMs, particularly As, from wastewater. The efficiency and stability of arsenic removal are further improved by nanocomposites, such as GO-polymer hybrids, GO-chitosan, GO-ZnO, GO-cellulose, Fe-functionalized GO, and reduced GO. For environmental remediation, these advanced nanohybrids offer sustainable, high-performance solutions. The present review synthesizes insights from nearly 200 research papers and review articles indexed in Web of Science, Scopus, and Google Scholar, focusing on As removal from wastewater utilizing graphene-based nanomaterials. It also highlights the sources and toxicity of As, limitations of traditional treatment methods, and the enhanced adsorption capabilities of graphene-derived materials and their composites. Overall, this review provides a concise and integrated perspective on current advancements, existing challenges, and future directions for next-generation graphene-based membrane technologies for effective As remediation.

Identifiers

PMID41728039
PMCPMC12922798

What Socratic holds

Textmetadata
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 Socratic graph.