Evidence map›Paper›PMID 39640652›Full record

ArticleHeliyon2024

Removal of zinc from wastewaters using Turkish bentonite and artificial neural network [ANN] modeling.

Ezel Uraz, Tugba Hayri-Senel, Nalan Erdol-Aydin, Gulhayat Nasun-Saygili

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

4 authors.

Ezel UrazIstanbul Technical University, Chemical and Metallurgical Faculty, Chemical Engineering Department, 34469, Maslak, Istanbul, Turkey.
Tugba Hayri-SenelIstanbul Technical University, Chemical and Metallurgical Faculty, Chemical Engineering Department, 34469, Maslak, Istanbul, Turkey.
Nalan Erdol-AydinIstanbul Technical University, Chemical and Metallurgical Faculty, Chemical Engineering Department, 34469, Maslak, Istanbul, Turkey.
Gulhayat Nasun-SaygiliIstanbul Technical University, Chemical and Metallurgical Faculty, Chemical Engineering Department, 34469, Maslak, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, Ordu-Unye bentonite was used as an adsorbent in the removal of zinc from aqueous solutions. The aim of the experimental part of the study was to ascertain how zinc removal was affected by variables such as pH, adsorbent amount, contact time, and initial zinc concentration. In the second part of the experiments, bentonite was modified with two different acids and the adsorption performance of modified bentonite was also investigated. Characterization of raw and modified bentonites was also carried out using FTIR and XRD. It was observed that acid modification of bentonite negatively affected the zinc removal process from aqueous solutions. In this study, higher zinc removal (95 %) was obtained with raw bentonite compared to acid modified bentonites (58.4 % in HNO

Indexed as

AdsorptionArtificial neural networksBentoniteIsotherm modelsModelingOptimizationZinc

Identifiers

PMID39640652
PMCPMC11620043

What OpenQuestion holds

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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.