Evidence map›Paper›PMID 36329762›Full record

ArticleRSC advances2022

Adsorption of Mn(ii) ions from wastewater using an AgNPs/GO/chitosan nanocomposite material.

Abeer El Shahawy, Mahmoud F Mubarak, Merna El Shafie, Hesham M Abdulla

RetractedAbstract readRetracted Publication
In one paragraph

Article in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Abeer El ShahawyDepartment of Civil Engineering, Faculty of Engineering, Suez Canal University PO Box 41522 Ismailia Egypt abeer_shahawi@eng.suez.edu.eg mernaelshafie24@gmail.com.ORCID https://orcid.org/0000-0003-2331-5040
Mahmoud F MubarakPetroleum Applications Department, Egyptian Petroleum Research Institute (EPRI) Nasr City 11727 Cairo Egypt fathy8753@epri.sci.eg.
Merna El ShafieDepartment of Civil Engineering, Faculty of Engineering, Suez Canal University PO Box 41522 Ismailia Egypt abeer_shahawi@eng.suez.edu.eg mernaelshafie24@gmail.com.
Hesham M AbdullaBotany Dept., Faculty of Science, Suez Canal University Box 41522 Ismailia Egypt hesham_abdulla@science.suez.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water contaminated with heavy metal ions is extremely poisonous and threatens living organisms. Therefore, scientists place a premium on removing heavy metal ions from water that has already been contaminated. Removing metal ions from water typically involves the use of nanomaterials. Chitosan was made by extracting it from shrimp shells and combining it with a 3 : 1 ratio of synthetically produced AgNPs/GO. Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) with transmission electron microscopy (TEM), and X-ray diffraction were used to investigate an AgNPs/GO/chitosan nanocomposite (XRD). A number of studies must be run to determine the optimal pH, adsorbent quantity, retention period, stirring speed, temperature, and initial concentration. The studies were conducted in a variety of ways. The isotherms of Langmuir, Freundlich, and Dubinin-Radushkevich were utilized. The industrial wastewater was used in the column adsorption experiment, and the flow rates and column bed heights were varied. An optimum contact time, pH, and adsorbent dosage for Mn(ii) were determined. At 30 minutes, pH 6, and 0.05 grams of Mn(ii) adsorbent per 100 ml, with agitation at 250 rpm, room temperature of 30 °C, and an initial concentration of 40 ppm, the best conditions were discovered. A positive correlation coefficient finding (

Identifiers

PMID36329762
PMCPMC9593265

What OpenQuestion holds

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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.