Evidence map›Paper›PMID 31811610›Full record

ArticleEnvironmental science and pollution research international2020

Lignocellulosic biomass supported metal nanoparticles for the catalytic reduction of organic pollutants.

Kalsoom Akhtar, Fayaz Ali, Saima Sohni, Tahseen Kamal, Abdullah M Asiri, Esraa M Bakhsh, Sher Bahadar Khan

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Multifunctional lignin-based nanocomposites and nanohybrids.Green chemistry : an international journal and green chemistry resource : GC · 2021
    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

7 authors.

Kalsoom AkhtarDepartment of Chemistry, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia.
Fayaz AliDepartment of Chemistry, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia.
Saima SohniSchool of Industrial Technology, Universiti Sains Malaysia, Penang, Malaysia.
Tahseen KamalDepartment of Chemistry, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia.
Abdullah M AsiriDepartment of Chemistry, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia.
Esraa M BakhshDepartment of Chemistry, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia.
Sher Bahadar KhanDepartment of Chemistry, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia. sbkhan@kau.edu.sa.ORCID http://orcid.org/0000-0001-9635-7175

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lignocellulosic biomass waste is a cheap, eco-friendly, and sustainable raw material for a wide array of applications. In the present study, an easy, fast, and economically feasible route has been proposed for the preparation of different zero-valent metal nanoparticles (ZV-MNPs) based on Cu, Co, Ag, and Ni NPs using empty fruit bunch (EFB) biomass residue as support material. The catalytic efficiency of ZV-MNPs/EFB catalyst was investigated against five model pollutants, such as methyl orange (MO), congo red (CR), methylene blue (MB), acridine orange (AO), and 4-nitrophenol (4-NP) using NaBH

Indexed as

Azo CompoundsBiomassCatalysisCongo RedEnvironmental PollutantsLigninMetal NanoparticlesMethylene BlueModels, ChemicalNitrophenols4-nitrophenolAzo CompoundsCongo RedEnvironmental PollutantsLigninlignocelluloseMethylene Bluemethyl orangeNitrophenolsCatalystDye reductionLignocellulosic biomassNitrophenol transformationZero-valent nanoparticle

Identifiers

PMID31811610

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.