Evidence map›Paper›PMID 33170468›Full record

ArticleEnvironmental science and pollution research international2021

Removal of azo dye from aqueous solution by a low-cost activated carbon prepared from coal: adsorption kinetics, isotherms study, and DFT simulation.

Saeed Ullah Jan, Aziz Ahmad, Adnan Ali Khan, Saad Melhi, Iftikhar Ahmad, Guohua Sun, Cheng-Meng Chen, Rashid Ahmad

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Exploring the efficacy ofRSC advances · 2024
    Article
  4. Article
  5. Removal of Azo Dyes from Water Using NaturalMolecules (Basel, Switzerland) · 2024
    Article
  6. Article
  7. 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

8 authors.

Saeed Ullah Jan *Department of Chemistry, University of Malakand, Chakdara, Dir(L), 18800, Pakistan.
Aziz Ahmad *CAS Key Laboratory of Carbon Materials, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan, 030001, Shanxi Province, People's Republic of China.
Adnan Ali KhanDepartment of Chemistry, University of Malakand, Chakdara, Dir(L), 18800, Pakistan.
Saad MelhiDepartment of Chemistry, College of Science, University of Bisha, Bisha, 61922, Saudi Arabia.
Iftikhar AhmadCentre for Computational Materials Science, University of Malakand, Chakdara, Dir(L), 18800, Pakistan.
Guohua SunCAS Key Laboratory of Carbon Materials, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan, 030001, Shanxi Province, People's Republic of China. sunguohua_1@sxicc.ac.cn.
Cheng-Meng ChenCAS Key Laboratory of Carbon Materials, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan, 030001, Shanxi Province, People's Republic of China. ccm@sxicc.ac.cn.
Rashid AhmadDepartment of Chemistry, University of Malakand, Chakdara, Dir(L), 18800, Pakistan. rashmad@gmail.com.ORCID http://orcid.org/0000-0001-5247-4070

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high-risk organic pollutants produced by industries are of growing concern. The highly porous coal-based activated carbon (AC) having a specific surface area of 3452.8 m

Indexed as

CharcoalWater Pollutants, ChemicalAdsorptionAzo CompoundsCoalHydrogen-Ion ConcentrationKineticsSpectroscopy, Fourier Transform InfraredThermodynamicsAzo CompoundsCharcoalCoalWater Pollutants, ChemicalActivated carbonAdsorptionAnionic dyesDFTKineticsThermodynamics

Identifiers

PMID33170468

What OpenQuestion holds

Textmetadata
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.