Evidence map›Paper›PMID 35260785›Full record

ArticleScientific reports2022

Neural-based modeling adsorption capacity of metal organic framework materials with application in wastewater treatment.

Mozhgan Parsaei, Elham Roudbari, Farhad Piri, A S El-Shafay, Chia-Hung Su, Hoang Chinh Nguyen, May Alashwal, Sami Ghazali, Mohammed Algarni

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In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mozhgan ParsaeiSchool of Chemistry, College of Science, University of Tehran, Tehran, Iran. parsaei_pu2@yahoo.com.
Elham RoudbariDepartment of Chemistry, Faculty of Science, Shahid Bahonar University of Kerman, Kerman, Iran.
Farhad PiriElectrical Engineering Department, Amirkabir University of Technology, Hafez Avenue, Tehran, Iran.
A S El-ShafayDepartment of Mechanical Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Alkharj, 11942, Saudi Arabia. a.abdou@psau.edu.sa.
Chia-Hung SuDepartment of Chemical Engineering, Ming Chi University of Technology, New Taipei City, Taiwan. chsu@mail.mcut.edu.tw.
Hoang Chinh NguyenFaculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, 700000, Vietnam.
May AlashwalDepartment of Computer Science, Jeddah International College, Jeddah, Saudi Arabia.
Sami GhazaliMechanical and Materials Engineering Department, Faculty of Engineering, University of Jeddah, P.O. Box 80327, Jeddah, 21589, Saudi Arabia.
Mohammed AlgarniMechanical Engineering Department, Faculty of Engineering, King Abdulaziz University, P.O. Box 344, Rabigh, 21911, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a computational-based model for simulating adsorption capacity of a novel layered double hydroxide (LDH) and metal organic framework (MOF) nanocomposite in separation of ions including Pb(II) and Cd(II) from aqueous solutions. The simulated adsorbent was a composite of UiO-66-(Zr)-(COOH)

Indexed as

Metal-Organic FrameworksWater Pollutants, ChemicalWater PurificationAdsorptionArtificial IntelligenceCadmiumHydrogen-Ion ConcentrationKineticsLeadPhthalic AcidsWaterCadmiumLeadMetal-Organic FrameworksPhthalic AcidsUiO-66WaterWater Pollutants, Chemical

Identifiers

PMID35260785
PMCPMC8904475

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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.