Evidence map›Paper›PMID 31673970›Full record

ArticleEnvironmental science and pollution research international2019

The efficient removal of methylene blue from water samples using three-dimensional poly (vinyl alcohol)/starch nanofiber membrane as a green nanosorbent.

Ebrahim Moradi, Homeira Ebrahimzadeh, Zahra Mehrani, Ali Akbar Asgharinezhad

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Article in Environmental science and pollution research international, 2019. 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
4.3field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 85 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

4 authors at 1 institution in 1 country.

Ebrahim MoradiFaculty of Chemistry and Petroleum Sciences, Shahid Beheshti University, Tehran, 1983969411, Iran.
Homeira EbrahimzadehFaculty of Chemistry and Petroleum Sciences, Shahid Beheshti University, Tehran, 1983969411, Iran. h-ebrahim@sbu.ac.ir.
Zahra MehraniFaculty of Chemistry and Petroleum Sciences, Shahid Beheshti University, Tehran, 1983969411, Iran.
Ali Akbar AsgharinezhadFaculty of Chemistry and Petroleum Sciences, Shahid Beheshti University, Tehran, 1983969411, Iran.
Shahid Beheshti University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, a simple, fast, and economical method was introduced to eliminate methylene blue from dye wastewater water using a non-toxic, inexpensive, stable, and efficient adsorbent. The poly (vinyl alcohol) (PVA)/starch hydrogel nanofiber membrane with high surface area and the three-dimensional structure was fabricated in water via electrospinning strategy, and the cross-linking reaction was done by thermal treatment. The characterization of the nanofibers was carried out using Fourier-transform infrared spectrometer (FT-IR) and field-emission scanning electron microscopy (FE-SEM), and the cross-linked PVA/starch nanofiber was applied as a membrane for the removal of methylene blue (MB). The recovery of MB was performed by methanol solution containing 5% (v/v) HCl. Langmuir isotherm model successfully described the adsorption of MB on nanosorbent, and the maximum adsorption capacity (q

Indexed as

AdsorptionAzo CompoundsEthanolHydrogelsHydrogen-Ion ConcentrationKineticsMethylene BlueNanofibersPolyvinyl ChlorideSpectroscopy, Fourier Transform InfraredStarchWaterWater Pollutants, ChemicalWater PurificationAzo CompoundsEthanolHydrogelsMethylene Bluemethyl orangePolyvinyl ChlorideStarchWaterWater Pollutants, ChemicalAdsorptionDyesElectrospinningFilterGreen sorbentHydrogel nanofiber

Identifiers

PMID31673970
OpenAlexW2982466226

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.