Evidence map›Paper›PMID 36992951›Full record

ArticleEnvironmental science. Advances2023

Article Application of neural network in metal adsorption using biomaterials (BMs): a review.

Amrita Nighojkar, Karl Zimmermann, Mohamed Ateia, Benoit Barbeau, Madjid Mohseni, Satheesh Krishnamurthy, Fuhar Dixit, Balasubramanian Kandasubramanian

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental science. Advances, 2023. 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
3.7field-weighted citation impact, top 6% 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

3 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
  2. Review
  3. 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 at 5 institutions in 4 countries.

Amrita NighojkarNano Surface Texturing Lab, Department of Metallurgical and Materials Engineering, Defence Institute of Advanced Technology (DU), Pune, India.ORCID 0000-0001-6519-3892
Karl ZimmermannDepartment of Chemical and Biological Engineering, University of British Columbia, Vancouver, Canada.ORCID 0000-0001-9961-9660
Mohamed AteiaUnited States Environmental Protection Agency, Cincinnati, USA.ORCID 0000-0002-3524-5513
Benoit BarbeauDepartment of Civil, Geological and Mining Engineering, Polytechnique Montreal, Quebec, Canada.
Madjid MohseniDepartment of Chemical and Biological Engineering, University of British Columbia, Vancouver, Canada.
Satheesh KrishnamurthySchool of Engineering & Innovation, The Open University, Milton Keynes, UK.ORCID 0000-0001-7237-9206
Fuhar DixitDepartment of Chemical and Biological Engineering, University of British Columbia, Vancouver, Canada.ORCID 0000-0003-3116-0296
Balasubramanian KandasubramanianNano Surface Texturing Lab, Department of Metallurgical and Materials Engineering, Defence Institute of Advanced Technology (DU), Pune, India.ORCID 0000-0003-4257-8807
University of British Columbia · CADefence Institute of Advanced Technology · INEnvironmental Protection Agency · USPolytechnique Montréal · CAThe Open University · GB

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

With growing environmental consciousness, biomaterials (BMs) have garnered attention as sustainable materials for the adsorption of hazardous water contaminants. These BMs are engineered using surface treatments or physical alterations to enhance their adsorptive properties. The lab-scale methods generally employ a One Variable at a Time (OVAT) approach to analyze the impact of biomaterial modifications, their characteristics and other process variables such as pH, temperature, dosage,

Identifiers

PMID36992951
PMCPMC10043827
OpenAlexW4313377797

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.