Evidence map›Paper›PMID 36316520›Full record

ArticleScientific reports2022

Innovative binary sorption of Cobalt(II) and methylene blue by Sargassum latifolium using Taguchi and hybrid artificial neural network paradigms.

Zeiad Moussa, Abeer A Ghoniem, Ashraf Elsayed, Amenah S Alotaibi, Asma Massad Alenzi, Sahar E Hamed, Khaled M Elattar, WesamEldin I A Saber

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Zeiad MoussaMicrobial Activity Unit, Department of Microbiology, Soils, Water and Environment Research Institute, Agricultural Research Center (ID: 60019332), Giza, 12619, Egypt. zeiadmoussa@gmail.com.
Abeer A GhoniemMicrobial Activity Unit, Department of Microbiology, Soils, Water and Environment Research Institute, Agricultural Research Center (ID: 60019332), Giza, 12619, Egypt.
Ashraf ElsayedBotany Department, Faculty of Science, Mansoura University, Elgomhouria St., Mansoura, 35516, Egypt. ashraf-badawy@mans.edu.eg.
Amenah S AlotaibiGenomic and Biotechnology Unit, Department of Biology, Faculty of Science, University of Tabuk, Tabuk, Saudi Arabia.
Asma Massad AlenziGenomic and Biotechnology Unit, Department of Biology, Faculty of Science, University of Tabuk, Tabuk, Saudi Arabia.
Sahar E HamedChemistry Department, Faculty of Agriculture, Damietta University, Damietta, Egypt.
Khaled M ElattarUnit of Genetic Engineering and Biotechnology, Faculty of Science, Mansoura University, El-Gomhoria Street, Mansoura, 35516, Egypt.
WesamEldin I A SaberMicrobial Activity Unit, Department of Microbiology, Soils, Water and Environment Research Institute, Agricultural Research Center (ID: 60019332), Giza, 12619, Egypt. wesameldin.saber@arc.sci.eg.
Agricultural Research Center · EGMansoura University · EGUniversity of Tabuk · SADamietta University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present investigation has been designed by Taguchi and hybrid artificial neural network (ANN) paradigms to improve and optimize the binary sorption of Cobalt(II) and methylene blue (MB) from an aqueous solution, depending on modifying physicochemical conditions to generate an appropriate constitution for a highly efficient biosorption by the alga; Sargassum latifolium. Concerning Taguchi's design, the predicted values of the two responses were comparable to actual ones. The biosorption of Cobalt(II) ions was more efficient than MB, the supreme biosorption of Cobalt(II) was verified in run L

Indexed as

SargassumWater Pollutants, ChemicalAdsorptionCobaltHydrogen-Ion ConcentrationIonsKineticsMethylene BlueNeural Networks, ComputerCobaltIonsMethylene BlueWater Pollutants, Chemical

Identifiers

PMID36316520
PMCPMC9622854
OpenAlexW4307897289

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.