Evidence map›Paper›PMID 39285202›Full record

ArticleScientific reports2024

​Statistical-based optimization and mechanism assessments of Arsenic (III)​ adsorption by ZnO-Halloysite nanocomposite​.

Mohammad Ali Khoddam, Reza Norouzbeigi, Elmira Velayi, Giuseppe Cavallaro

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

4 authors.

Mohammad Ali KhoddamNanomaterials and surface technology research Laboratory, School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, P.B. 16765-163, Narmak, Tehran, Iran.
Reza NorouzbeigiNanomaterials and surface technology research Laboratory, School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, P.B. 16765-163, Narmak, Tehran, Iran. norouzbeigi@iust.ac.ir.
Elmira VelayiDepartment of Chemical Engineering, Faculty of Engineering, Azarbaijan Shahid Madani University, P.O.Box: 537517-1379, Tabriz, Iran.
Giuseppe CavallaroDipartimento di Fisica e Chimica, Università degli Studi di Palermo, Viale delle Scienze, pad. 17, Palermo, 90128, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arsenic contamination in aqueous media is a serious environmental problem, especially in developing countries. In this research, the Box-Behnken response surface methodology was used to optimize the most relevant variables affecting arsenic adsorption on the ZnO-halloysite surface, including temperature, adsorbent dosage, pH, contact time, and As (III) initial concentration. The regression analysis indicated that the experimental data were appropriately fitted to a quadratic model with the adjusted R-squared value (R

Indexed as

Adsorption mechanismArsenic (III) removalBox-Behnken designNumerical modelX-ray photoelectron spectroscopy (XPS) analysisZnO-Halloysite surface

Identifiers

PMID39285202
PMCPMC11405673

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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.