Evidence map›Paper›PMID 41220636›Full record

ArticleRSC advances2025

The effective remediation of heavy metal-laden wastewater by employing cement dust derived from industrial activities as a sorbent.

Eslam Syala, Wagih A Sadik, Abdel-Ghaffar M El-Demerdash, Waffa Mekhamer, M Essam El-Rafey

Abstract read
In one paragraph

Article in RSC advances, 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. Synergistic effects of nano SnOScientific reports · 2026
    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

5 authors.

Eslam SyalaDepartment of Materials Science, Institute of Graduate Studies and Researches (IGSR), Alexandria University 163 Horreya Avenue, Shatby 21526 Alexandria Egypt Eslam.Syala@alexu.edu.eg.ORCID https://orcid.org/0000-0003-0319-6355
Wagih A SadikDepartment of Materials Science, Institute of Graduate Studies and Researches (IGSR), Alexandria University 163 Horreya Avenue, Shatby 21526 Alexandria Egypt Eslam.Syala@alexu.edu.eg.
Abdel-Ghaffar M El-DemerdashDepartment of Materials Science, Institute of Graduate Studies and Researches (IGSR), Alexandria University 163 Horreya Avenue, Shatby 21526 Alexandria Egypt Eslam.Syala@alexu.edu.eg.
Waffa MekhamerDepartment of Materials Science, Institute of Graduate Studies and Researches (IGSR), Alexandria University 163 Horreya Avenue, Shatby 21526 Alexandria Egypt Eslam.Syala@alexu.edu.eg.
M Essam El-RafeyDepartment of Materials Science, Institute of Graduate Studies and Researches (IGSR), Alexandria University 163 Horreya Avenue, Shatby 21526 Alexandria Egypt Eslam.Syala@alexu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a continuation of our earlier study, "The effective treatment of dye-containing simulated wastewater by using the cement kiln dust as an industrial waste adsorbent", the present work investigates the purification of wastewater containing heavy metals (HMs) using the industrial waste byproduct, cement kiln dust (CKD), on both laboratory and industrial scales. The adsorption of HMs was investigated through isothermal equilibrium batch experiments. This study primarily focused on detecting and removing traces of lead (Pb) and cadmium (Cd), with the removal process examined using X-ray fluorescence, scanning electron microscopy, Fourier-transform infrared spectroscopy, thermogravimetric analysis, and X-ray diffractometry techniques. The adsorption of both metals was examined under varying contact times, pH levels, temperatures, and several initial concentrations of Pb and Cd. The results revealed that maximum sorption was acquired after 80 minutes at pH 8 and 55 °C. Linear and nonlinear pseudo-first-order, pseudo-second-order, and intraparticle diffusion kinetic models were employed. The best fit of the kinetic data was achieved using the pseudo-second-order model, with a regression coefficient (

Identifiers

PMID41220636
PMCPMC12599555

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Registered trials

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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.