Evidence map›Paper›PMID 41942597›Full record

ArticleScientific reports2026

Eco-engineered bio-imprinted polymer for selective aluminum sequestration in wastewater.

Huda Sharef, Mohammed S Almoiqli, Aveen Jalal, Wafa Mazi, Bnar Ibrahim, Ayman Alrehaili, Maha Ali Aljowni, Ali Hamzah Alessa, Nabil Fakhre, Obaid A Alharbi and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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. Article
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

13 authors.

Huda SharefDepartment of Chemistry, College of Education, Salahaddin University-Erbil, Erbil, Iraq.
Mohammed S AlmoiqliDesalination Technologies Institute (DTI), King Abdulaziz City for Science and Technology (KACST), Riyadh, 11442, Saudi Arabia.
Aveen JalalDepartment of Chemistry, College of Education, Salahaddin University-Erbil, Erbil, Iraq.
Wafa MaziFaculty of Science, Department of Chemistry, University of Tabuk, Tabuk, 71491, Saudi Arabia.
Bnar IbrahimDepartment of Chemistry, College of Science, University of Raparin, Sulaymaneyah, Iraq.
Ayman AlrehailiWater Management & Treatment Institute, King Abdulaziz City for Science and Technology (KACST), Riyadh, 11442, Saudi Arabia.
Maha Ali AljowniFaculty of Science, Department of Chemistry, University of Tabuk, Tabuk, 71491, Saudi Arabia.
Ali Hamzah AlessaFaculty of Science, Department of Chemistry, University of Tabuk, Tabuk, 71491, Saudi Arabia.
Nabil FakhreDepartment of Chemistry, College of Education, Salahaddin University-Erbil, Erbil, Iraq.
Obaid A AlharbiWater Management & Treatment Institute, King Abdulaziz City for Science and Technology (KACST), Riyadh, 11442, Saudi Arabia.
Raed A AlsulamiNuclear Technologies Institute (NTI), King Abdulaziz City for Science & Technology (KACST), P.O. Box 6086, Riyadh, 11442, Saudi Arabia.
Mubarak M AlbarqiNuclear Technologies Institute (NTI), King Abdulaziz City for Science & Technology (KACST), P.O. Box 6086, Riyadh, 11442, Saudi Arabia.
Muneer BaataDesalination Technologies Institute (DTI), King Abdulaziz City for Science and Technology (KACST), Riyadh, 11442, Saudi Arabia. Mbaata@kacst.gov.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aluminum (Al) poisoning in wastewater poses a significant environmental and public health threat, with potential association to neurological diseases such as Alzheimer’s. Conventional remediation methods often rely on synthetic materials with environmental drawbacks. This study presents a sustainable alternative by synthesizing ion-imprinted polymers (IIPs) from chia seed extract, a biobased resource rich in functional groups. Using Al (III) ions as a template and epichlorohydrin as a crosslinker, IIPs with specific sites for capturing aluminum. These IIPs demonstrated performance superior to non-imprinted polymers (NIPs), achieving a maximum adsorption capacity of 188.7 mg/g and a removal efficiency of 96.02%. Optimal conditions were found to be a pH of 5.5, a temperature of 30 °C, and a 30-minute contact time. Statistical analysis through ANOVA confirmed the significance of the findings (p < 0.001). The adsorption process conformed to the Langmuir, Freundlich, Temkin, and Sips isotherm models, as well as the pseudo-first-order, pseudo-second-order, intraparticle diffusion, and Elovich kinetic models, suggesting a monolayer, endothermic, and spontaneous characteristic. The IIPs also proved highly reusable, maintaining their effectiveness over 10 regeneration cycles. These results demonstrate that chia seed-based IIPs provide a biobased, selective, and reusable approach for aluminium removal from wastewater, offering a balance between sustainability and adsorption efficiency.

Indexed as

Al (III)-IIPChia seedIsothermKineticSelective adsorption

Identifiers

PMID41942597
PMCPMC13216602

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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.