Evidence map›Paper›PMID 37147342›Full record

ArticleScientific reports2023

Experimental evaluation of cobalt adsorption capacity of walnut shell by organic acid activation.

Adnan Irshad, Muhammad Atif, Ambreen Ghani, Basharat Ali, Sheikh Asrar Ahmad, Musinguzi Alex

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
2.2field-weighted citation impact, top 13% of its field
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, 17 citations in OpenAlex.

  1. Article
  2. Review
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

6 authors at 3 institutions in 2 countries.

Adnan IrshadChemistry Department, University of Education Lahore (Vehari Campus), Vehari, Punjab, Pakistan.
Muhammad AtifChemistry Department, University of Education Lahore (Vehari Campus), Vehari, Punjab, Pakistan.
Ambreen GhaniChemistry Department, University of Education Lahore (Vehari Campus), Vehari, Punjab, Pakistan.
Basharat AliChemistry Department, University of Education Lahore (Vehari Campus), Vehari, Punjab, Pakistan.
Sheikh Asrar AhmadChemistry Department, University of Education Lahore (Vehari Campus), Vehari, Punjab, Pakistan.
Musinguzi AlexBusitema University, Tororo, Uganda. malex@eng.busitema.ac.ug.
University of Education · PKUniversity of Okara · PKBusitema University · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cobalt, from industrial waste and nuclear laundry, possess health risk to human beings, animals and plants. Number of methods, other than adsorption, have been reported in literature for Co removal from waste water. In this research walnut shell powder after modification has been utilized for Co adsorption. First step of modification involved chemical treatment by four different organic acids for 72 h. Samples were collected at 24, 48 and 72 h. Second step involved thermal treatment of 72 h samples. Unmodified and modified particles have been analyzed by chemical methods and instruments i.e. UV spectrometer, FTIR, cyclic voltammetry (CV) and microscopic imaging. Thermally treated samples have shown augmented Co adsorption. CV analysis showed thermally treated samples with better capacitance. Particles modified by oxalic acid presented better Co adsorption. Oxalic acid treated particles activated for 72 h with thermal treatment provided maximum adsorption capacity 1327 ± 20.6 mg/g against Co(II) at pH 7, stirring 200 rpm, initial concentration 20 ml, adsorbent dosage (5 mg) and contact time 240 min at room temperature.

Identifiers

PMID37147342
PMCPMC10163231
OpenAlexW4372184551

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.