Evidence map›Paper›PMID 29235028›Full record

ArticleEnvironmental science and pollution research international2018

Artificial intelligence and regression analysis for Cd(II) ion biosorption from aqueous solution by Gossypium barbadense waste.

Manal Fawzy, Mahmoud Nasr, Heba Nagy, Shacker Helmi

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Application of waste cotton yarn as adsorbent of heavy metal ions from single and mixed solutions.Environmental science and pollution research international · 2020
    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

4 authors.

Manal FawzyDepartment of Environmental Sciences, Faculty of Science, Alexandria University, 21511, Alexandria, Egypt.
Mahmoud NasrSanitary Engineering Department, Faculty of Engineering, Alexandria University, 21544, Alexandria, Egypt. mahmmoudsaid@gmail.com.ORCID http://orcid.org/0000-0001-5115-135X
Heba NagyDepartment of Environmental Studies, Institute of Graduate Studies and Research, Alexandria University, 21526, Alexandria, Egypt.
Shacker HelmiDepartment of Environmental Studies, Institute of Graduate Studies and Research, Alexandria University, 21526, Alexandria, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, batch biosorption experiments were conducted to determine the removal efficiency of Cd(II) ion from aqueous solutions by Gossypium barbadense waste. The biosorbent was characterized by Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM) connected with energy dispersive X-ray (EDX). The sorption mechanism was described by complexation/chelation of Cd

Indexed as

Artificial IntelligenceWater PurificationAdsorptionCadmiumGossypiumHydrogen-Ion ConcentrationKineticsParticle SizeRegression AnalysisSpectroscopy, Fourier Transform InfraredWaste ProductsWater Pollutants, ChemicalCadmiumWaste ProductsWater Pollutants, ChemicalAgricultural waste biosorbentArtificial neural networkCd(II) ion removalIsotherm and kineticsPure quadratic model

Identifiers

PMID29235028

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.