Evidence map›Paper›PMID 40028602›Full record

ReviewHeliyon2025

Synthesis of silica and silicon from rice husk feedstock: A review.

Ibrahim Hamidu, Benjamin Afotey, Bright Kwakye-Awuah, Daniel Adjah Anang

Abstract readReview
In one paragraph

Review in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
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.

Ibrahim HamiduDepartment of Chemical Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Benjamin AfoteyDepartment of Chemical Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Bright Kwakye-AwuahDepartment of Physics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Daniel Adjah AnangDepartment of Chemical Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A lot of attention has been drawn to environmentally friendly and sustainable materials in the need to decarbonize the planet. The utilization of agro-waste to meet this need has increased in recent times. Among the various agro-wastes, rice husk has gained more traction due to its abundance, unique constituents, and properties suitable for advanced material synthesis. Precursor materials such as silica and silicon used in advanced materials synthesis are also synthesized from rice husk. The synthesis of these advanced materials depends on the rice husk pretreatment and thermochemical conversion approach. Pretreatment methods such as acid leaching generally yield higher silica purity compared to water leaching. However, the use of acid in leaching impurities during pretreatment leads to the release of harmful chemicals. Among thermochemical methods used in silica synthesis, the hydrothermal method has gained more attention due to the use of water as a liquid medium and the elimination of the raw materials drying step, reducing emissions and energy demand in the process. Metallothermic reduction methods such as magnesiothermic and aluminothermic reduction of silica to silicon have attracted much attention due to their low reduction temperature. This review discusses the composition and properties of rice husk and its thermochemical conversion to silica (SiO

Indexed as

Rice huskRice husk ashRice husk SilicaSilicon

Identifiers

PMID40028602
PMCPMC11872444

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.