Evidence map›Paper›PMID 34508317›Full record

ArticleEnvironmental science and pollution research international2022

Flow photocatalysis system-based functionalized graphene oxide-ZnO nanoflowers for degradation of a natural humic acid.

Ganjar Fadillah, Tawfik A Saleh, Hanik Munawaroh, Sayekti Wahyuningsih, Ari Handono Ramelan

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 17 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 2 countries.

Ganjar FadillahChemistry Department, Faculty of Mathematics and Natural Sciences, Universitas Islam Indonesia, Yogyakarta, 55584, Indonesia.
Tawfik A SalehChemistry Department, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia. tawfik@kfupm.edu.sa.ORCID http://orcid.org/0000-0002-3037-5159
Hanik MunawarohInorganic Material Research Group, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Surakarta, 57126, Indonesia.
Sayekti WahyuningsihInorganic Material Research Group, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Surakarta, 57126, Indonesia.
Ari Handono RamelanInorganic Material Research Group, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Surakarta, 57126, Indonesia.
Sebelas Maret University · IDIslamic University of Indonesia · IDKing Fahd University of Petroleum and Minerals · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functionalized graphene oxide-ZnO (fGO/ZnO) nanoflower composites have been studied as a photocatalyst material for flow photodegradation of humic acid (HA) in real samples. The fGO/ZnO nanoflower was prepared via hydrothermal methods. The chemical and physical properties of the synthesized photocatalyst have been carried out by several techniques, including X-ray diffraction (XRD), scanning electron microscope-energy-dispersive spectrometer (SEM-EDS), Fourier transform infrared (FTIR), and UV-Vis spectrophotometer. The photocatalytic study of degradation of HA by flow system is reported. The optimum condition for degradation was found at pH 4.0, a flow rate of 1 mL min

Indexed as

Zinc OxideCatalysisGraphiteHumic SubstancesSpectroscopy, Fourier Transform Infraredgraphene oxideGraphiteHumic SubstancesZinc OxideAnalytical modelingGrapheneSurface analysisSurface properties

Identifiers

PMID34508317
OpenAlexW3197485219

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.