Evidence map›Paper›PMID 32708928›Full record

ArticleMolecules (Basel, Switzerland)2020

Modeling of Cu(II) Adsorption from an Aqueous Solution Using an Artificial Neural Network (ANN).

Taimur Khan, Teh Sabariah Binti Abd Manan, Mohamed Hasnain Isa, Abdulnoor A J Ghanim, Salmia Beddu, Hisyam Jusoh, Muhammad Shahid Iqbal, Gebiaw T Ayele, Mohammed Saedi Jami

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

9 authors.

Taimur KhanDepartment of Civil Engineering, Faculty of Engineering, Najran University, P.O. Box 1988, King Abdulaziz Road, Najran 61441, Saudi Arabia.
Teh Sabariah Binti Abd MananInstitute of Tropical Biodiversity and Sustainable Development, Universiti Malaysia Terengganu, 21300 Kuala Terengganu, Malaysia.
Mohamed Hasnain IsaCivil Engineering Programme, Universiti Teknologi Brunei, Tungku Highway, Gadong BE1410, Brunei Darussalam.
Abdulnoor A J GhanimDepartment of Civil Engineering, Faculty of Engineering, Najran University, P.O. Box 1988, King Abdulaziz Road, Najran 61441, Saudi Arabia.
Salmia BedduDepartment of Civil Engineering, Universiti Tenaga Nasional, Jalan Ikram-Uniten, 43000 Kajang, Selangor Darul Ehsan, Malaysia.
Hisyam JusohGeo TriTech, No. 17, Persiaran Perdana 15A, Pinji Perdana, 31500 Lahat, Perak, Malaysia.
Muhammad Shahid IqbalDepartment of Space Sciences, Institute of Space Technology, Islamabad 44000, Pakistan.
Gebiaw T AyeleAustralian Rivers Institute and School of Engineering, Griffith University, Nathan, QLD 4111, Australia.ORCID 0000-0003-4568-5528
Mohammed Saedi JamiDepartment of Biotechnology Engineering, Faculty of Engineering, International Islamic University Malaysia, P.O. Box 10, Kuala Lumpur 50728, Malaysia.ORCID 0000-0002-4677-316X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research optimized the adsorption performance of rice husk char (RHC4) for copper (Cu(II)) from an aqueous solution. Various physicochemical analyses such as Fourier transform infrared spectroscopy (FTIR), field-emission scanning electron microscopy (FESEM), carbon, hydrogen, nitrogen, and sulfur (CHNS) analysis, Brunauer-Emmett-Teller (BET) surface area analysis, bulk density (g/mL), ash content (%), pH, and pH

Indexed as

Neural Networks, ComputerAdsorptionAlgorithmsCopperDiffusionKineticsModels, MolecularSolutionsSulfurThermodynamicsWaterWater Pollutants, ChemicalCopperSolutionsSulfurWaterWater Pollutants, Chemicaladsorptionartificial neural networkheavy metal removalrice husk char

Identifiers

PMID32708928
PMCPMC7397182

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.