Evidence map›Paper›PMID 33139793›Full record

ArticleScientific reports2020

Synthesis and characterization of rice husk biochar via hydrothermal carbonization for wastewater treatment and biofuel production.

Nazia Hossain, Sabzoi Nizamuddin, Gregory Griffin, Periasamy Selvakannan, Nabisab Mujawar Mubarak, Teuku Meurah Indra Mahlia

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Review
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  7. Biomass-Derived Magnetic FeInternational journal of molecular sciences · 2025
    Article
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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

6 authors.

Nazia HossainSchool of Engineering, RMIT University, Melbourne, VIC, 3001, Australia. bristy808.nh@gmail.com.
Sabzoi NizamuddinCivil and Infrastructure Engineering, School of Engineering, RMIT University, Melbourne, VIC, 3001, Australia.
Gregory GriffinSchool of Engineering, RMIT University, Melbourne, VIC, 3001, Australia.
Periasamy SelvakannanSchool of Science, RMIT University, Melbourne, VIC, 3001, Australia.
Nabisab Mujawar MubarakDepartment of Chemical Engineering, Faculty of Engineering and Science, Curtin University, 98009, Miri, Sarawak, Malaysia. mubarak.yaseen@gmail.com.
Teuku Meurah Indra MahliaSchool of Information, Systems and Modelling, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, 2007, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent implication of circular economy in Australia spurred the demand for waste material utilization for value-added product generations on a commercial scale. Therefore, this experimental study emphasized on agricultural waste biomass, rice husk (RH) as potential feedstock to produce valuable products. Rice husk biochar (RB) was obtained at temperature: 180 °C, pressure: 70 bar, reaction time: 20 min with water via hydrothermal carbonization (HTC), and the obtained biochar yield was 57.9%. Enhancement of zeta potential value from - 30.1 to - 10.6 mV in RB presented the higher suspension stability, and improvement of surface area and porosity in RB demonstrated the wastewater adsorption capacity. Along with that, an increase of crystallinity in RB, 60.5%, also indicates the enhancement of the catalytic performance of the material significantly more favorable to improve the adsorption efficiency of transitional compounds. In contrast, an increase of the atomic O/C ratio in RB, 0.51 delineated high breakdown of the cellulosic component, which is favorable for biofuel purpose. 13.98% SiO

Identifiers

PMID33139793
PMCPMC7606520

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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.