Evidence map›Paper›PMID 37110563›Full record

ArticleMolecules (Basel, Switzerland)2023

Synthesis of Graphene Oxide from Sugarcane Dry Leaves by Two-Stage Pyrolysis.

Baskar Thangaraj, Fatima Mumtaz, Yawar Abbas, Dalaver H Anjum, Pravin Raj Solomon, Jamal Hassan

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. 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. Article
  3. Graphene Oxide: Preparation and Medical Research.Materials (Basel, Switzerland) · 2025
    Review
  4. 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

6 authors.

Baskar ThangarajDepartment of Physics, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates.ORCID 0000-0001-8746-4286
Fatima MumtazEmirates Nuclear Technology Center, Department of Chemical Engineering, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates.
Yawar AbbasDepartment of Physics, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates.ORCID 0000-0002-7722-805X
Dalaver H AnjumDepartment of Physics, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates.
Pravin Raj SolomonMolecular Epidemiology and Diagnostic Research Facility, Department of Immunology, School of Biological Sciences, Madurai Kamaraj University, Madurai 625021, Tamil Nadu, India.
Jamal HassanDepartment of Physics, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates.ORCID 0000-0003-4125-2733

Funding

Khalifa University of Science and Technology CIRA-2020-051
6 · The paper itself

Abstract

Natural or synthetic graphite as precursors for the preparation of graphene oxide (GO) have constraints due to their limited availability, high reaction temperature for processing of synthetic graphite and higher generation cost. The use of oxidants, long reaction duration, the generation of toxic gases and residues of inorganic salts, the degree of hazard and low yield are some of the disadvantages of the oxidative-exfoliation methods. Under these circumstances, biomass waste usage as a precursor is a viable alternative. The conversion of biomass into GO by the pyrolysis method is ecofriendly with diverse applications, which partially overcomes the waste disposal problem encountered by the existing methods. In this study, graphene oxide (GO) is prepared from dry leaves of sugarcane plant through a two-step pyrolysis method using ferric (III) citrate as a catalyst, followed by treatment with conc. H

Indexed as

biomassgraphene oxidesugarcane dry leavestwo-dimensionaltwo-stage pyrolysis

Identifiers

PMID37110563
PMCPMC10140955

What OpenQuestion holds

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LicenceCC BY
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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.