Evidence map›Paper›PMID 40083993›Full record

ArticleHeliyon2025

Synthesis and application of adsorbent pads for removal of oil pollutants from water.

Esmat Askari, Vali Alipour, Omid Rahmanian

Abstract read
In one paragraph

Article in Heliyon, 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. 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

3 authors.

Esmat AskariFood Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Vali AlipourFood Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Omid RahmanianFood Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oil is a crucial foundation for energy, significantly influencing both industrial production and daily human activities. However, oil pollution inflicts considerable harm on the environment. To protect the environment, it is essential to implement effective cleaning strategies to remove oil from aquatic systems. Among the various remediation techniques, the adsorption process has emerged as one of the most efficient approaches for removing oil contaminants from water sources. This research used animal hair, modified palm fibers, and polyurethane particles as adsorbent pads to remediate water contaminated with oil. The characterization of the synthesized adsorbent and the assessment of the impact of modifications at each stage were conducted utilizing various analytical techniques, including Fourier transform infrared spectroscopy (FTIR), field emission scanning electron microscopy (FESEM), thermogravimetric analysis (TGA), X-ray diffraction (XRD), and Brunauer-Emmett-Teller (BET) surface area analysis. The key factors influencing absorption, such as pH, temperature, contact time, and oil concentration, have been assessed. The analysis revealed that the optimal conditions for absorbing 50 g of oil are a temperature of 40 °C, a pH level of 7, and a contact duration of 10 min. The results of isotherm studies indicated that the adsorbent has the best fit with the Langmuir model. In this research, the maximum absorption capacity was 3333 mg/g based on Langmuir adsorption model. Furthermore, the absorbent follows the pseudo-second-order kinetic model with rate constant of 0.06 g/(mg.min) and presents the chemisorption process. The developed adsorbent demonstrated significant potential as an effective and economical solution for oil contamination remediation.

Indexed as

Adsorbent padsAdsorptionBiomassClean-upOil pollution

Identifiers

PMID40083993
PMCPMC11904479

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.